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Uber brand story; A journey from dangerous roads to success

Published

2 months ago

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Uber
From fighting with the law and bypassing competitors to the emergence of an Iranian-born CEO; What path did Uber go through to become the world’s largest Internet taxi company?

Uber brand story; A journey from dangerous roads to success

Imagine 20 years ago, you are looking for a taxi on a busy street, tired and lost, but you couldn’t find any. You wish there was a way that you could instantly find a taxi at the push of a button, but at the time that dream seemed so unattainable. It was precisely on one of these nights that the idea of ​​forming the world’s most famous internet taxi brand came to the mind of its founders.

The story of “Uber” began in 2008, in Paris, on one of the cold winter nights. After selling their startups, two friends named Travis Kalanick and Gret Kemp decided to attend the annual technology conference in Paris called LeWeb. The participants of this conference exchanged ideas about the revolutionary ideas they had in their heads and planning for the future. After the conference, Garrett and Travis decided to go back to the hotel to relax. The weather was very cold, there were no taxis on the street and the two friends were very confused and confused.

Uber black car

Photographer: Bold Narratives

The unavailability of a taxi made Garrett and Travis think; They thought to themselves, what if they could send taxi requests online with their phones? This is how the idea of ​​requesting a taxi online was born. On that cold winter night, an idea was born that would turn into a billion-dollar empire years later. However, let’s not forget that although Uber’s idea later became revolutionary, it was initially illegal.

How was Uber formed?

Constantly teased by others as a youngster, Travis took refuge in work to escape the status quo, selling kitchen knives as a peddler. To sell more, Travis sometimes went door to door and tried to sell kitchen knives to housewives. At that time, he proved that he had strong marketing power and could present and sell his products to customers. Later, Travis was able to attract the opinion of investors for investment with this ability.

Before starting Uber, Travis dropped out of college to become an entrepreneur and focus on a project he had in mind called Score. Score was a peer-to-peer search engine for files and a bit like Napster. Similar to Napster, Score faced heavy lawsuits and a huge fine of $250 billion due to copyright violations. In this case, the founders of the company had to declare bankruptcy, and Travis was very upset about this, but after declaring bankruptcy, he did not despair and sought to start a business that he called Revenge Profession.

After selling the failed business for millions of dollars, Travis got the money to start a bigger project; A project called Uber. Travis and his friend Garrett were fed up with taxi companies and thought there must be a better alternative. Then, while watching a James Bond movie, they decided they should start Uber.

The car tracking sequence with a mobile phone in the James Bond movie was an effective factor in the formation of Uber

In one of the scenes of this movie, James was tracking and chasing a car using his phone. This scene led to the formation of the new application of these two friends called Ubercab in 2010. This application was trying to solve the problems related to traditional taxis. At that time, instead of calling, people could request a taxi by touching a button on their mobile phone. Also, after requesting a taxi, the passenger could easily see the route of the car on the map.

It is important to mention that Uber used very stylish cars with leather upholstery and inside each car, a bottle of water was placed for each passenger. In addition to the mentioned items, the payment of travel expenses was easily and automatically deducted from the passenger’s card, so there was no need to pay change or tip manually.

Two bottles of water in the Uber car

At first, the Uber service was a black luxury car and limousine to give passengers a James Bond-like experience. As a result, Uber’s quick take has become a symbol of luxury in the affluent San Francisco area. It was a glorious start for a fledgling company; But on the 20th of October, the transportation representative went to the Uber company and informed them that what they were doing was against the law. Until then, all Uber drivers were certified professional drivers registered with the Department of Transportation. As a result, Uber considered these rules too strict and unreasonable; But apparently, there were other strict rules for setting up and running a taxi business, and Uber had broken them.

One of Uber’s illegal actions was that the cars did not belong to the company; In fact, this company hired professional drivers and asked them to use their cars to transport passengers. Although this resulted in significant cost savings for Uber, it created several legal issues. Local officials warned Uber that it would be fined up to $5,000 per trip for each day of operation. But this was not the whole story; Local officials warned that the Uber team could face up to 90 days in jail for each day the company operated. Uber employees were very disappointed after hearing these strange punishments and continued their work with fear.

At the beginning, Uber was struggling with many legal threats

Many of the employees of this company were very young and under 30 years old, and Uber was their first place of work after graduating from Kalech. Imagine yourself in their place, with thousands of hopes of getting hired by a big company, but suddenly you face threats such as financial fines and prison terms. Surely, in this situation, this question was formed in the minds of all Uber employees; What can we do? Despite the troubling circumstances, Uber founder and CEO Travis Kalanick had no worries. “We don’t have to do anything, all we have to do is ignore these threats,” he confidently told his staff. Travis later removed the Cab part from his company’s name and changed its name to Uber.

The founder of Uber between the taxi car and Uber

After doing this, he said that his company is now not a taxi company, but a company that operates in the field of technology, so the rules related to taxi driving are not relevant to them. Doing so saved the company billions of dollars, but it also generated a lot of controversy. For example, Travis stated that Uber drivers are not employees of the company, but partners. As a result, Uber is not responsible for their employment rights and interests. But Travis knew for sure that the authorities didn’t care about his way of thinking, so he prepared for battle.

Uber versus the law

Travis knew that if he could get enough people to use the Uber app, people would decide that Uber was a much better way to travel than standing on the side of the street and hailing a taxi. In this case, the authorities had to answer to many people to prevent Uber from operating. Uber didn’t have a lot of time and needed to do it as quickly as possible, so it made a deal with AT&T to buy thousands of iPhones in bulk at a discount. They delivered the phones to drivers with the Uber software already installed. Also, each driver was rewarded by Uber for a certain number of trips per week.

The news of the bonus attracted many drivers to Uber and in a very short time, the number of drivers working for Uber multiplied. An important question that may arise is what did Uber do to attract passengers? Free first trip and discount for second and third trips seemed like an attractive offer. By presenting this offer, Uber believed that after the first or second trip, passengers will conclude that this service is much better than the old taxi system and is worth paying the full fare.

Since Uber was losing some money on every trip, the offer to attract passengers seemed like a costly proposition, but the costs were recouped and even turned into profits in a very short period of time; Because only after a very short time of Uber offer, a large number of passengers were attracted to this company and preferred to use Uber cars instead of regular taxis. Later, Uber expanded its operations to other American cities and states.

Uber had the full support of its users to deal with legal threats

With the popularity of Uber, the authorities of different cities in America decided to check what this company is really doing and whether it is approved or not; But Uber had prepared itself against threats from various authorities. After each threat, Uber notified its users using a message in the Uber app, asking them to support the campaign created to support Uber. Users could even express their support for Uber by emailing local or national authorities. The Uber company was not satisfied with doing these two tasks and by organizing civil gatherings in a certain place, it asked its users to show their support for Uber to the authorities by joining these gatherings.

In one of Uber’s protests and strikes in New York, few Uber users showed up to support it, so Uber asked its employees at one of its branches to participate in the strike. After facing protests and being surprised by the number of people participating, local officials did not realize that many of these people were Uber employees. Travis believed that the taxi industry was tainted with corruption and collusion and that groups in the industry had the support of politicians by bribing them. As a result of this support, it became very difficult for competing companies, such as Uber, to obtain a license. By saying this, Travis tried to justify bypassing traditional processes and launching Uber without a license. Also, he insisted that the emergence of Uber provided much better conditions for passengers and drivers.

After Uber introduced a new service called Uberx, the war between the company and the regulators became much more intense. Uber X allowed almost anyone to work as a driver for Uber. This raised many legal issues, and by this time city officials had realized that Uber was unwilling to cooperate. As a result, instead of directly threatening Uber, the authorities threatened the poor drivers, saying that if they found anyone driving for Uber, they would impound their car. By doing this, city officials restricted people from working for and using Uber, but we mustn’t forget that Travis and his company were a few steps ahead.

Uber logo on a building

Uber has consistently posted messages on its app that if any driver working for Uber is fined, their fine will be paid in full. Travis saw this as a cost to his career. But the real genius was designing a secret system called Greyball to bypass local authorities. Greyball was a tool that allowed Uber to keep its drivers away from monitored locations.

Travis knew that various people, including city officials, were downloading the Uber app so that they could follow the cars displayed in the app. As a result, with the help of Grayball software, Uber could easily identify local authorities and prevent them from joining. Even if a local authority could sign up for the Uber app, once logged in, they would not see any cars on the map. Also, if he wanted to rent a car, he would get a message saying “no cars nearby”.

Uber was able to bypass local authorities by designing a system called Greyball

The main question is, how could Uber distinguish local officials from ordinary people? To do this, Uber used location data, for example, if a user downloaded the Uber app in certain places such as a police station or government building, or had a history of suspicious trips, it would be quickly identified and cars on the map would not be shown to him. Greyball was also able to detect suspicious activity, such as repeatedly opening and closing the app without renting a car.

Uber has been very successful with its own quasi-spy team. Many authorities requested a car to arrest the Uber driver during the violation, but suddenly their request was canceled; Because apparently no Uber driver used the app. Officials thought people had heeded the warnings and stopped working for Uber, but in practice, they were seeing a fake map and had no chance of going after the Uber drivers. Uber kept its activity secret until 2017 and used Greyball software to keep its drivers safe; Until extensive investigations revealed the use of this system and Uber’s secret activity years later.

Uber app

Uber, while operating undercover and using Greyball, spent huge sums lobbying the government to legalize its service. Therefore, until the discovery of the secret operation Greyball and the attention of the public, Uber was operating legally in most major American cities and was highly popular, in such a way that the suspension of its operation by the government faced a wide reaction.

According to existing trends, after gaining enough support and influence in each city, Uber would negotiate with local authorities as if trying to free a hostage. In fact, after ensuring the power and support of the people, Uber used it to change the rules in favor of its own business model; For example, it would change the rules on contract workers so that they don’t have to pay full benefits to drivers.

In the early years of its establishment, Uber developed a smart plan to evade laws confront government officials, and expand its company; But this war was not the main war, and a bigger battle was coming.

A direct battle with Zuckerberg and the Lyft app

One morning, Travis received a call from his friend, Facebook founder Mark Zuckerberg. Mark talked to Travis about a new app called Lyft and mentioned that Facebook employees are very excited about the app. To this day, there is a lot of debate about whether Uber copied its app from Lyft or Lyft copied Uber.

Uber and Lyft logo on the car window

Although Uber started first, it started out with fancy cars. Therefore, not many people could work as drivers in this company. Finally, in 2012, at the same time as Lyft, Uber changed its service to hire more people as drivers. Lyft and Uber have entered a head-to-head battle, offering car-hailing apps along with similar services.

Travis wanted nothing but complete dominance in any competition, he believed that every war has a winner, so in the competition and war between Lyft and Uber, Travis sought victory and complete dominance in the field of taxi driving and car rental. Travis was willing to do anything to win.

Hosting small parties with food and games has been one of Lyft’s most effective marketing techniques to attract people to the company as drivers, and Uber often throws these parties and offers various discount codes to drivers who choose to join Uber instead of Lyft.

Lyft did an interesting thing to get recognition; Installing a very large pink mustache in front of your cars. To counter this marketing tactic, Uber installed billboards with the slogan “Shave Your Mustache” at all Lyft locations. Also, by creating a large number of fake accounts on Lyft, Uber was able to easily track the location of Lyft drivers and give the obtained data to a software called Hell.

Uber vs. Lyft adsWNYC

Why did Uber choose the name hell for this software? This company had another system called Heaven that showed all drivers active in Uber on the map; But the Hell system was the opposite of Heaven, showing all active drivers on Lyft. Using these two systems, Uber could easily understand which drivers are operating on Uber and Lyft at the same time. After finding these drivers and giving them special points, Uber encouraged them to choose this company. Of course, the perks didn’t last forever, ending once the driver ditched Lyft entirely and accepted Uber as their only option.

Uber’s founder was doing everything he could to compete with Lyft

That’s not all, Uber also had a special program for drivers who only worked for Lyft. The employees of this company would go near their location by identifying these drivers and requesting a car using the Lyft application. After accepting the request, one of the drivers would give the Uber employee a ride, and along the way, the employee would do his best to dissuade the driver from working for Lyft and instead work for Uber.

At times, Uber employees used disposable phones to submit multiple requests for car rentals on the Lyft app at the same time and cancel them at the last second. Years later, when people learned about Uber’s deliberate vandalism against Lyft and stealing its drivers, they organized many rallies against the company; But Travis and his staff believed they had done nothing wrong. Travis believed that in professional competition one should do everything to win. On March 19, 2013, he even published an insulting tweet against the founder of Lyft on Twitter.

Travis's tweet
X

One of the most important reasons for Uber’s success against Lyft was that whenever Lyft had a meeting with investors to raise capital, Uber quickly noticed and contacted investors to inform them that the company was going to raise capital soon. Knowing that Uber is a bigger company, investors are scrapping their deal with Lyft to invest in Uber. Travis was a real showman and had an uncanny ability to convince investors. With his seductive words, he could easily convince investors that Uber will soon become one of the largest companies in the field of transportation and that in addition to transporting passengers, it can also transport any goods to any place. With this claim, Uber considered itself a serious competitor to Amazon.

Investors were very excited after hearing what Travis said and considered Uber as the best company to invest in and get huge profits in the future. But that was the beginning, Travis wouldn’t return their calls for a certain amount of time after the meeting. Therefore, the investors thought that Uber did not need their capital, so they showed more enthusiasm to invest in Uber. It wasn’t long before Uber received huge funding from venture capital funds, such as $258 million from Google. With more investors, Uber had more money to spend on expansion and marketing. As a result, with more funding and capital, Uber was able to outperform competitors such as Lyft.

Travis was a real showman and had an uncanny ability to convince investors

Uber used many advertising tricks to attract people’s attention. For example, on Valentine’s Day, the company gave out thousands of roses to drivers to present to girls who board Uber cars after 4 p.m. Uber, powerful and using every trick, continued its way. You might think to yourself that the tricks mentioned so far were the whole story, But Uber’s dark side has yet to reveal itself.

Dissatisfaction with drivers and bigger disasters

The rise of Uber caused the financial ruin of one taxi driver, Doug Shifter. “When the taxi industry started, I worked an average of 40-50 hours a week, but I can no longer survive by working 120 hours,” he wrote on Facebook. I am not a slave.” Shortly thereafter, Doug drove to City Hall, put a gun to his head, and pulled the trigger. To be sure, Doug isn’t the only driver who has committed suicide and blamed Uber. In India, a driver committed suicide after failing to pay his car loan on time. This suicide led to the angry presence of a group of drivers in the Uber office. They carried the driver’s body and shouted that the driver would still be alive if Uber’s wages weren’t so low.

Strike against Uber in India

You might ask yourself what Travis’s reaction was after the suicides and the drivers’ protest. Travis believed that Uber has greatly improved the lives of people who work as drivers for Uber and that there is nothing wrong with what Uber is doing. Some people agreed with Travis, calling Uber an innovative, high-performing company that allows drivers to get paid more and provides cheaper rides for passengers.

The reality was that the money the drivers earned was spent on fuel, taxes, and car maintenance instead of spending it on a better life, so the amount of money left for them was even less than the monthly minimum wage. We should also not forget that Uber drivers lost the benefits they received from taxi companies in this company.

Because anyone could work as a driver for Uber, public safety was compromised. Also, drivers and taxi operators were not going to let Uber win easily, so they started countless protests against Uber. According to reports sent from some countries, the taxi cartel organized criminal activities, attacking Uber drivers, stealing their cars and even setting them on fire. In some places, such as Mexico, there have been reports of Uber drivers being killed, with many blaming local taxi drivers. This conflict was an all-out war between Uber and the traditional transportation system.

In addition to the law and competing companies, Uber also had to contend with the traditional transportation system

We cannot hide the fact that wherever Uber stepped, arguments and arguments followed. In 2014, after working for hours at work, a girl requested a ride home with the Uber app in the middle of the night. After riding, he was dozing off from exhaustion. Knowing this, the driver turned off his cell phone so that the police and Uber could not track him, and harassed the passenger. Then, with threats, he forced the girl to be silent and left her somewhere far from the city; But the girl took a picture of the license plate and luckily the police were able to catch the driver while he was running away. The news of this incident spread quickly and people blamed Uber for not ensuring the safety of passengers.

After this incident, some countries banned the use of Uber completely. Over the years, many similar incidents have occurred, but Uber has not changed the terms of employment of its drivers. People had a positive view of Uber in its early years, but over the years their views have changed. Uber faced problems such as the leakage of passenger data and their privacy. By changing the settings of the Uber app, the company tracked passengers (especially celebrities) even after the trip was over; Because their next path was an interesting topic for Travis.

Over the years, Uber has lost its popularity among people

In recent years, Uber paid hackers hundreds of thousands of dollars to cover up a massive data breach that exposed the personal information of 57 million Uber users. Also, the company had to pay $28.5 million to settle a lawsuit due to false advertising about having the best driver background check system; But one of Uber’s biggest public relations disasters came in 2017, when taxi drivers went on strike to protest Trump’s travel ban on citizens of Muslim countries.

Uber made huge profits by ignoring the strike and exploiting the taxi drivers’ strike. This led to the anger of many people; In such a way that in a very short time, the #DeleteUber hashtag became a trend on Twitter. More than half a million people deleted their accounts and probably millions more deleted the Uber app from their phones. At the same time, Lyft, which had been nearly destroyed by Uber’s disruptions, was booming again as many people joined it. Although Uber continued to expand and market itself, its popularity among the public had reached an all-time low.

Uber versus Chinese competitors

Travis was trying to make a name for himself in China because of its huge population, but very few tech companies were successful in China. Travis did everything he had done in other countries to attract drivers and passengers in China, but it didn’t work as he expected. Fraudsters in China purchased a large number of cheap smartphones and set up half of them with driver accounts and the other half with passenger accounts. Then, each scammer would request a ride with one of their passenger’s phones and accept it with one of their driver’s phones.

DD taxi logo in China

Don’t forget that because of Uber promo codes, all rides were free for the passenger’s phone and the driver’s phone still got paid for the ride. In other words, the fraudsters would get double the money for every fake trip they made, and after hours of driving and racking up huge fees, the driver would simply cash out, reset the phones, and repeat the process with new Uber accounts.

As a result of these processes and making fraudulent trips, Uber lost millions of dollars. Despite the huge costs and the loss of millions of dollars, Travis refused to remove his points for the first ride, instead putting a secret code in the Uber app to prevent fraudsters from creating multiple accounts on the same phone. By doing so, Uber once again broke the rules and angered many tech companies, including Apple.

Fraudsters weren’t Uber’s only problem in China, the company had a Chinese competitor called DiDi that was heavily backed by the Chinese government. DiDi encouraged local taxi drivers to protest against Uber by paying them to work for DiDi instead of Uber by sending fake messages that Uber was shutting down in China. In addition to all these things, DiDi company was aware of the information of Uber company and their programs by sending people as employees. Uber used these hacks against Lyft in its early years in the US but faced the same hacks in China years later.

Eventually, Uber reached an agreement with DiDi and ended its operations in China, but Travis was furious at his failure. You must have wondered why we have talked about Travis so far and not mentioned his friend Garrett; This is because Garrett played a lesser role in the business; But Garrett finally stepped in after all these adventures and publicly confirmed Uber’s plans to enter the field of self-driving cars. Self-driving cars did not need drivers, and Uber drivers once again realized that the company did not care about them. But Uber’s point of view was different; If the company didn’t work on self-driving cars, other companies like Google could put Uber out of business.

The biggest internet taxi company in the world had many enemies, But Uber’s biggest enemy was itself

In competition with Google, Uber hired some self-driving car engineers who worked for Google. As a result, another court case was opened for Uber in this regard. At this time, Uber was fighting an all-out war and considered the whole world against him, but Uber’s main enemy was himself.

Travis and Uber’s problematic culture

By immersing himself in work, Travis was doing everything he could to grow his company. He didn’t see his friends for days, and he didn’t even wash his clothes, but by working for hours in his office, he thought about expanding Uber as much as possible. Travis expected the same from his employees and wanted them to spend their whole lives growing Uber; As a result, many of the company’s employees worked even after hours. Some of them were referred to a psychologist due to high work pressure.

Travis expected Uber employees to dedicate their whole lives to the development of the company

Travis was a very charismatic manager. When he told his employees we were here to change the world, they believed him. Uber employees loved Travis because of the trust he had in them, so much so that they could make big decisions without his approval. By dividing his employees into small teams and placing them in different cities, Travis asked them to think only about success. Although this approach may be successful at times, it fails in many cases due to internal competition.

After each success, Uber would throw a big party. The x to X event was one of Uber’s biggest celebrations held in Las Vegas and cost the company about $25 million, But these things could not keep the realities of Uber hidden forever. There have been numerous reports of sexism and harassment of women at Uber. In 2017, Susan Fowler, a former Uber engineer, described her experiences of sexism and harassment at the company in a blog post. This led to an internal investigation and the firing of several top Uber executives.

Uber’s problems were endless, and every year a bigger problem arose for the company

Uber ran from one problem to another. Although Travis was a warrior manager and tried to develop Uber using all the hacks he could think of, he couldn’t handle the huge pressures placed on him. Travis’s true breakdown came when he heard the news of his mother’s death and his father’s hospitalization in a sea accident. Finally, in June 2017, Travis announced his leave of absence from Uber for an unspecified period of time. He decided to become a better manager and human after returning from leave, But Travis didn’t know he would never return to Uber.

Opening the feet of an Iranian-born CEO to Uber

Dara Khosrowshahi, CEO of Uber

Photographer: Politico

Less than a month after leaving Uber, Travis resigned under pressure from the board and investors. The reason for this was that they blamed Travis for everything that happened and the controversies that happened to Uber. This matter was very bitter for Travis, he spared nothing to establish, develop, and maintain his company and did not expect this bitter end. He wanted to expand Uber like Amazon, but never got the chance to do so.

Biography of Dara Khosrowshahi; Iranian-American CEO of Uber

Uber’s situation became much more stable after Travis’ resignation. Dara Khosrowshahi, the new CEO, focused on improving relations with drivers and improving the image of the brand among customers. Although there were still controversies, Uber pleased investors by staying out of the headlines.

Read more: Amazon brand story; A store for everything

The current Uber, after years of turmoil

After going through many ups and downs, Uber is now one of the top transportation apps in the whole world, which is available to the public in more than 70 countries and 10,000 cities. Today, 149 million users use Uber and 7.1 million drivers work for the company. Also, the total transaction of Uber in the transportation sector in 2023 was equal to 68.9 billion dollars and in the first quarter of 2024, it was equal to 18.67 billion dollars.

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Technology

How to solve the problem of slow charging of the Android phone?

Published

2 days ago

on

06/10/2024

By

Android
Android phones face the problem of slow charging speed for various reasons, which in some cases can be easily identified and fixed.

How to solve the problem of slow charging of the Android phone?

One of the worst things that we notice when working with a smartphone is the slowing down of the charging process. Samsung phones, Xiaomi phones, Huawei phones, OnePlus phones, and any other Android device can face slow charging problems for various reasons.

If your phone is charging slowly and you want to know how to protect your phone battery, you can check some things to fix the problem before going to the repairmen. In addition to common cases such as battery failure, phone software not being updated, and deleting unused programs, there are solutions that can be used to improve charging speed.

Table of contents
  • Checking the health of the charging cable
  • Check the charger
  • Checking the charging port of the phone
  • Using a weak power source
  • Overheating of the phone while charging
  • Not using the phone while connected to the charger
  • Disabling fast charging
  • Checking the fast charging capability of Samsung phones
  • Checking the fast charging capability of other Android phones

Checking the health of the charging cable

Experience shows that in many cases, the reason for the slow charging of the Android phone is a faulty cable; Especially when you have used the charging cable for a long time.

Apple HomePod Mini USB Type-C cable

In response to the question of how to keep the mobile battery healthy, one of the solutions will definitely be to use a standard cable. During the use of the charging cable, various damages can reduce its charge transmission power; As a result, it does not charge your Android phone at a high speed like in the first days. Therefore, before doing anything, check the cable carefully and preferably use another healthy cable to charge the device to determine whether the problem is with the cable or not.

Of course, calibrating your phone’s battery is another method that helps you return your device’s battery performance to its original state.

In the Zomit products section, the prices of charging cables of different brands are presented along with their detailed technical specifications so that you can choose the best option when buying.

Check the charger

Everything we said about the health of the cable also applies to the phone charger. This accessory can face problems during use due to various reasons such as impact, long-term use, power fluctuations, and initial manufacturing quality, and cannot transfer the charge to the phone like in the first days.

Charger handle cover for Zomit products - all types of wall, desktop and wireless chargers

Now smartphone manufacturers have removed the charger in many of their models, and for this reason, it becomes more important to pay attention to the chargers we have. Sometimes using old chargers to charge new phones is the main reason for slow charging speed; Because they do not have enough output power to take advantage of advantages such as fast charging. On the other hand, some people buy these products due to the low price of chargers of some brands; But it is recommended to buy a better quality charger by paying more money.

To protect the Samsung phone battery, the best solution is definitely to use original chargers made by this company.

Read more: How to use iMessage on Android?

Note that if you do not use the original charger of the device, use authentic and high-quality alternative samples such as Samsung charger, Anker charger, or other brands to charge your phone and match its voltage with the voltage supported by the device. For example, if your phone supports 33W charging, it is recommended to use a 33W charger. The best charger article will help you choose the best charger model.

How to solve the problem of slow charging of the Android phone?

Checking the charging port of the phone

Galaxy A73 charging port

Maybe the slow charging of the phone is related to its port; In fact, the dirtiness of the charging port is one of the most common causes of the aforementioned problem. Check the charging port of the device carefully and clean it with compressed air or a small soft brush. Accumulation of dust and other particles on the copper lines of the charging port can prevent the correct connection of the charger socket to it and also prevent the correct transfer of electricity, and this can lead to a decrease in charging speed.

In some cases, you will notice that the charging port is a little loose after connecting the cable to the phone; In this scenario, it is possible that one of the pins of the charging port is loose. Unfortunately, there is not much you can do in the mentioned conditions and you have to go to authorized mobile repair centers.

Using a weak power source

electrical outlet

Using the USB port of a laptop or computer and other electronic devices can be another reason for slow phone charging; Because in many cases, these ports have a weak power output that is lower than the input power of the phone, and as a result, the charging speed decreases.

In this situation, check your smartphone by connecting it to the main charger and power outlet to determine whether the problem is from a weak power source or not. In some cases, the defective wiring of the building can also cause the failure of electrical outlets, which can be ensured by connecting another electrical device to the desired outlet.

Overheating of the phone while charging

Do you know that the hotter your smartphone gets, the slower its charging speed? This feature is actually one of the device’s solutions to protect internal parts from failure; When the internal temperature exceeds the limit, it will reduce the charging speed, and this feature is one of the ways to take care of the battery of Samsung and other brands. In other words, the cooler your device stays, the faster it will charge, and this is why many fast wireless chargers are equipped with an internal fan.

If you want your Android phone to charge faster, remove the protective case and place it in a cool place (for example, next to a window out of direct sunlight).

Not using the phone while connected to the charger

If you cannot stay away from your Android phone even for a moment and you use it continuously during the day, the device will not have a chance to rest while charging. Using the phone while connected to electricity can lead to an increase in the consumption of hardware resources and, as a result, an increase in battery consumption, and these processes together reduce the device’s charging speed. So simply give yourself and the device some rest while charging your phone and don’t use it.

Charging Xiaomi 12 Lite

Using the phone while connected to the charger will generate more heat, and this factor will reduce the charging speed and even damage the battery in the long run.

Disabling fast charging

Some Android phones, including various models of Samsung phones, have provided the possibility of deactivating fast charging, and in other words, the reason for the slow charging of your Android phone can be related to the deactivation of this feature. In the following, we explain the method of checking the activation of fast charging. If you need to, you can also visit the article Does fast charging ruin the battery because you will get complete information about fast charging technology and its possible damages.

Checking the fast charging capability of Samsung phones

Enter the settings of your Samsung phone and then go to Battery > Charging settings. On this page, you will see the Fast Charging option, if it is active, the device will be charged at maximum power, and if the feature is off, the phone will be charged at a slow speed.

Samsung phone settings
Samsung phone battery option
Fast charging option for Samsung phones

How to solve the problem of slow charging of the Android phone?

Checking the fast charging capability of other Android phones

If you are using a non-Samsung Android phone, go to the settings menu and type Fast Charge in the search section. If your device has the ability to enable and disable fast charging, this option will be displayed and you can turn it on or off.

You may ask how to take care of the phone’s battery when using fast charging, and the answer is that it is suggested to disable the fast charging feature as often as possible. In fact, by doing this, you allow the battery of the device to be charged at a normal speed without applying too much pressure, which can help improve its temperature and life.

In the article on how to change the charge symbol of Samsung phones, a simple method to change the graphic appearance of the charge indicator in Galaxy phones is explained, which we suggest you read if you wish.

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Technology

The new version of Copilot was unveiled; Microsoft artificial intelligence

Published

4 days ago

on

04/10/2024

By

Copilot
Microsoft has unveiled the biggest update ever to Copilot, which has advanced and exciting features.

The new version of Copilot was unveiled; Microsoft artificial intelligence

Today, Microsoft unveiled extensive changes to the Kopilot smart assistant. By adding audio and visual capabilities, Copilot will become a more personal AI assistant. Copilot’s new features include a special mode for reading news headlines, the ability to view the content of your screen, and an audio feature for more natural interaction.

Copilot’s smart assistant is undergoing a major redesign across mobile, web, and dedicated Windows platforms to improve its user experience with a card-based approach and more closely resemble Inflection AI’s Pi personal AI assistant.

Earlier this year, Microsoft hired a number of Inflection AI experts, including Mustafa Suleiman, co-founder of Google DeepMind and current CEO of Microsoft’s AI division. This is Suleiman’s first major impact at CoPilot after taking over the leadership role of Microsoft’s AI division.

The user interface of Copilot has undergone a significant evolution compared to the previous versions of Microsoft and has a completely different look. This user interface elevates the user experience to a higher level with a warmer and more attractive design, especially on the personalized Copilot Discover screen.

Unlike simple text prompts in chatbots, Copilot Discover provides useful and relevant information to the user. Microsoft says it’s fully personalizing Copilot’s home page based on a user’s conversation history, and over time will enrich the page with useful searches, tips, and related information.

New Copilot home page

Microsoft

Earlier this year, Microsoft handed over the version for regular users to Tim Sulaiman to do more experiments in the field of personalization and creating personality traits for this smart assistant. “What we’ve learned from the Pi team and the professionals who have joined us from Inflection AI is that they always pay close attention to the details of our customers’ needs,” Yusuf Mehdi, executive vice president and senior director of consumer marketing at Microsoft, said in an interview with The Verge. “The way they listened and what they learned from the long conversations in this research has undoubtedly influenced what we’ve done.”

In addition to improving Kopilot’s appearance, Microsoft has taken great strides by adding ChatGPT-like voice capabilities. Now users can chat with Kopilot’s AI assistant, ask questions, and even interrupt the conversation like a normal conversation with friends or colleagues. Copilot currently offers four different audio options.

The new version of Copilot in mobile

Microsoft

Copilot Vision is the second big change that allows Microsoft’s AI assistant to see what you’re looking at on a web page. You can ask it questions about text, images, and page content, and get natural answers combined with Copilot’s new audio features. For example, when shopping online, you can use Copilot Vision to receive product suggestions and let it search for a variety of options for you.

New copilot voice search

Microsoft

The use of Copilot Vision is completely optional, and Microsoft emphasizes that no content is stored or used to train models. Copilot Vision isn’t available on all websites yet, as Microsoft has put restrictions on the types of websites that the feature works with. “We start with a limited list of popular websites to ensure the experience is safe and secure for all users,” says the Copilot team.

According to The Verge, Microsoft has clearly outlined a long-term vision for new audio and visual features in the Copilot smart assistant. In one hands-on demonstration, Copilot Vision was used to analyze images of old handwritten food recipes. Copilot Vision is able to recognize the type of food and estimate its approximate cooking time. Microsoft also showed off a similar experience for Xbox games earlier this year, showing how Copilot can help users navigate games like Minecraft.

The next stage of Copilot development includes a new feature called Copilot Daily. This feature provides audio summaries of news and weather as if read by a professional news anchor. This summary is designed as a short clip that users can listen to in the morning.

Copilot Daily feature

Microsoft

The content of Copilot Daily is obtained only from reliable and authorized news and weather sources. Microsoft is initially working with news agencies Reuters, Axel Springer and Hearst, and the Financial Times, with plans to add more news sources in the future.

Copilot is able to answer more complex questions thanks to advanced OpenAI models. The new Think Deeper feature allows CoPilot to spend more time processing complex questions and provide step-by-step and more detailed answers. This feature will be very useful, especially for comparing two different options.

The Think Deeper feature is still in the early stages of development and Microsoft has it in Copilot Labs. These labs are a space to evaluate new features that Microsoft develops.

The Copilot Vision feature will also initially be part of Copilot Labs, where users can share their thoughts on new experiences. Microsoft is taking a more cautious approach to Copilot Vision after the recall was criticized for security and privacy issues.

Related articles: Copilot Plus; All about the smartest Windows computers

From today, the new Copilot will be available to users. The new Copilot can be accessed through the iOS and Android mobile apps, the copilot.microsoft.com website, and the Copilot Windows app.

Initially, the Copilot Voice feature will only be available in English in Australia, Canada, New Zealand, the United Kingdom, and the United States. However, there are plans to expand this feature to more regions and languages ​​in the future. The Copilot Daily feature will initially be limited to the US and the UK, and the Copilot Vision feature will initially be available to a limited number of Copilot Pro subscribers in the US.

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Everything about Python; A programming language for everyone

Published

1 week ago

on

30/09/2024

By

Python
Python is called “language for everyone” because it is easy for everyone to learn. Follow this article to learn about this popular programming language.

Everything about Python; A programming language for everyone

Python is one of the most popular programming languages ​​in the world, and most people who want to take the first steps in programming choose Python; Because It is very close to the English language and removes most of the fear and hesitation of beginners in the early stages; So that learning programming language seems possible for them.

According to the latest Stack Overflow survey of 2022, Python is the third most popular language among people who want to learn programming language and the fourth most popular language among developers.

It is also a versatile language used in a variety of fields including artificial intelligence, machine learning, data science, and web development, easily making it to the list of top-grossing programming languages ​​of 2023.

If you are curious about Python and want to make sure that it is exactly the language you need before starting to learn the programming language, follow this article.

Table of contents
  • The story of the birth of Python
  • Zen Python 
  • How does Python work?
  • Reasons for Python’s popularity
  • Python frameworks
  • 1. Django
  • 2. Flask
  • 3. Bottle
  • 4. CherryPy
  • 5. Web-to-Py (Web2Py)
  • Python libraries 
  • 1. TensorFlow
  • 2. Scikit-Learn
  • 3. Numpy
  • 4. Keras
  • 5. PyTorch
  • What projects can be developed with Python?
  • What companies use Python?
  • Install Python
  • How long does it take to learn Python?
  • Where to start to learn Python?
  • Python alternative languages
  • Weaknesses of Python
  • The Future of Python

The story of the birth of Python

The Python programming language was born in December 1989 during the Christmas holidays in Amsterdam, Holland. Guido van Rossum, a Dutch programmer then working at Centrum Wiskunde & Informatica, a mathematical and computer science research institute, decided for fun while spending the Christmas holidays on a new programming language that had been around for a long time. He wanted to write a commentary based on ABC.

Python programming language logo

ABC is a high-level, general-purpose programming language similar to BASIC and Pascal that was developed at the institute where Rossum worked. The purpose of creating ABC was to teach programming and prototyping, and because it was high-level (that is, it was similar to human language), it was easily read in English, and it was the best solution for teaching loops, logic, and data to beginners. Van Rossum had worked on the ABC project for several years and implemented many of its features in Python. The reason for choosing the name Python for this new language was his interest in the comedy series ” Monty Python Bird Circus “.

Khidou wanted the development of the application to be possible simply and without worrying about hardware, memory management, and such complications; So he thought of inventing his own programming language, inspired his ideas from ABC, and reducing the project time from three years to a three-month project; And that’s how Python was born.

Python’s name is taken from the Monty Python comedy series

In February 1991, van Rossum published Python code on alt. sources. alt. sources was like a forum where people shared their source codes and it can be considered one of the first platforms that helped the development of open-source projects.

Python is a high-level interpreter language; This means that it is closer to human language, so it is easier for beginners to learn, but to be comprehensible to a computer, it needs software to directly implement the instructions. In fact, the Python language was founded on the principle of making programming understandable to everyone, and van Rossum adhered to this principle throughout his career.

Python was founded on the principle of making programming understandable to everyone

At first, Khedo didn’t have much hope for Python’s popularity. Before the globalization of the Internet, it was difficult to convince people to use a new programming language, and in the 1980s, Khedo had to travel and distribute magnetic tapes to people for years to introduce and promote ABC. ABC at that time could not make room between the programmers; For this reason, Khido did not have any special expectations from Python; Although the introduction of Python, which in those days was enough to download from newsgroups known as Usenet, was much easier than door-to-door distribution of magnetic tapes.

Khedo Van Rossum, creator of PythonKhedo van Rossum speaking at the 2018 Python Language Conference

But in 1995, a company called Zope was founded, specializing in the production of ad engines for the Internet. Zope created dynamic web pages written in Python, thus popularizing Python in its early days. Zope is run by a team of Python developers, joined by Van Rossum in 2000.

It was around this time that Van Rossum was nicknamed the “benevolent dictator for life” because he was the creator of this language and controlled its development stages. This nickname was later given to the leaders of text game projects who were the founders of the project themselves and had the final say in discussions and disagreements.

Released in October 2000, Python 2 quickly became popular in the systems industry as programmers were able to find creative ways to automate their processes. During this period, web development also experienced significant growth, and frameworks such as Jinja, Flask, and Django emerged, and large communities were immediately created for these frameworks.

In 2001, the Python Software Foundation was founded, an American non-profit organization dedicated entirely to the Python language. This foundation is also responsible for organizing the Python conference, which is held in 40 countries.

By 2010, Python-based frameworks were among the top ten, although the number of dynamic website competitors was increasing day by day so the 2000s can be called the peak years of Python. According to the TIOBE site ranking, in 2000, Python was the 20th most used language; By 2005, it climbed to the 6th place, and in April 2023, it finally reached the position of the copy. This website has selected Python as the “Programming Language of the Year” in 2007, 2010, 2018, 2020 and 2021.

The TIOBE site chose Python as the “Programming Language of the Year” five times

 In 2005, Van Rossum joined Google and worked on Google App Engine, which ran Python applications in the cloud. With Van Rossum joining Google, Python’s bright future was guaranteed.

Python 3 was released in December 2008 and caused a lot of trouble for developers because it was not compatible with Python 2. Some developers preferred to work with Python 2 and others with Python 3.

Although Python quickly became popular among tech startups, it didn’t catch on among large companies for a long time. Until the late 2000s, MIT student Drew Houston, after leaving his flash drive at home, thought of creating a space for file sharing, and in 2007, he released the Dropbox software for this purpose. Dropbox was written in Python and within a year it reached three million users and attracted the attention of large companies. Since Dropbox was written in Python 2, van Rossum joined the team in 2013 to port the program to Python 3. Van Rossum worked with Dropbox until his retirement.

It was October 2019 when Van Rossum officially announced his retirement and stepped down from the position of “the eternal benevolent dictator”. After Van Rossum’s retirement, the core Python developers formed a steering council to decide on future changes to Python, and Van Rossum is a member of this council.

Python has become so big and popular these days that more people are deciding on it. In November 2020 Van Rossum announced that retirement was boring for him and joined Microsoft’s developer division as a “Distinguished Engineer” given to the company’s most outstanding engineers. In a tweet, he promised to make Python better for all platforms, not just Windows.

Zen Python

Tim Peters, one of the main developers of Python, wrote a set of programming principles in 1999, known as the “Zen of Python”. Python developers and programmers are still trying to adhere to these principles. To view these principles in the Python interpreter, just enter the “import this” code to display this list:

Zen Python
  •   Beautiful is better than ugly.
  •   Explicit expression is better than implied.
  •   Simple is better than complicated.
  •   Complex is better than complicated.
  •   Straight and smooth is better than nested.
  •   Scattered is better than dense.
  •   Readability is important.
  •   Special cases are not special enough to break the rules.
  •   Although the feasibility is more pure.
  •   Errors should never be dismissed in silence.
  •   Unless they are explicitly silenced.
  •   When faced with ambiguity, avoid the temptation to guess.
  •   There should be one (and preferably only one) clear way of doing things.
  •   Although this method may not seem obvious at first unless you are Dutch.
  •   Now is better than ever.
  •   Although “never” is often better than “right now”.
  •   If its implementation is hard to describe, it’s a bad idea.
  •   If the implementation is easy to describe, it might be a good idea.
  •   Namespaces are a great idea, let’s use them more!

How does Python work?

When you write a program in C or C++, you must compile it; This means that you have to convert the code that is understandable for humans into a code that is understandable for computers. Machine code is actually low-level instructions that can be directly executed by the CPU. After the compilation process is completed successfully, your code will produce an executable file. Running this code will execute all the instructions you wrote step by step.

Python mechanism

But Python is generally an interpreted language and not a compiled language, although compilation is one of the stages of the coding process with Python. Python code in the file py. It is written, first, it is compiled as bytecode and then in pic format. or pyo. is saved.

In fact, instead of being translated into machine code like C++, Python code is translated into bytecode. Bytecode is a set of low-level instructions that can be executed by an interpreter. On most computers, the Python interpreter is installed in the path usr/local/bin/python3.11/. Instead of executing instructions on the CPU, bytecode executes them on the virtual machine.

One of the advantages of interpreted languages ​​like Python is that they are independent of the operating system; This means that as long as the Python bytecode and the virtual machine are of the same version, this code can be run on any platform, including Windows or MacOS.

Reasons for Python’s popularity

Think of the day when every user can program their own computer. We look to a future where every computer user will be able to “lift the hood” and improve the applications inside the computer. We believe this will fundamentally change the nature of software and software development.

These sentences were the proposal that the “Computer Programming for Everyone” project used to introduce itself. Van Rossum started this project to encourage people to program and he believed that the programming language should be so simple and understandable that every computer user can learn it easily.

Although Python language is slower than C and Java and is not suitable for designing applications that require high speed to run, such as heavy games, it has many advantages that have made it one of the most popular programming languages; including:

1. Easy to learn and use

Learning and using the Python language is very easy for beginners because it has a simple structure, readable codes, and commands very close to the English language, and compared to other languages, it requires writing much fewer lines of code to execute tasks.

A comic about the ease of the Python languageA comic about how easy Python is

2. A big and supportive Python community

Python was created more than 30 years ago, and since then the community of Python programmers has grown enough to support any developer at any level, whether a beginner or a professional. To learn Python, there are many free educational resources and videos in this forum and all over the Internet, and for this reason, people who choose this language to learn will not have to worry about the lack of resources.

3. The support of big sponsors

Python community

Programming languages ​​grow faster with the support of large companies. Facebook supports PHP, Oracle supports Java, and Microsoft supports Visual Basic and C#. Python language is also supported by Facebook, Amazon web services and especially Google. Since 2006, Google has chosen Python to develop many of its applications and platforms.

4. Hundreds of Python libraries and frameworks

Due to its large sponsors and active community, Python has a variety of unique libraries that save programmers time. There are many cloud multimedia services that support Python developers on different platforms through library tools.

5. Versatility, efficiency, reliability and speed

Python language can be used in various environments including mobile and desktop applications, web development, and hardware programming. Python’s versatility has made it the first choice of many programmers in various fields. Although the execution speed of programs written in Python is slightly lower than that of compiled languages ​​such as C, developing an application in Python takes much less time and takes up less space in memory.

6. Big data, machine learning, and cloud computing

After R, Python is the most popular programming language in the field of data science and analysis, because it is a very understandable language for many researchers who do not have a programming background. A large amount of data processing in companies is done only with Python. Most of the research and development projects are also done with the Python language, because Python has many uses, including the ease of analyzing and organizing usable data. Meanwhile, hundreds of Python libraries are used in thousands of machine-learning projects every day. Realizing the importance of Python, the hiring of Python programmers with mastery of data science principles has also increased a lot.

7. The flexibility of the Python language

Python is so flexible that it allows the developer to try a different project each time. Python does not limit developers to the development of specific applications and leaves them free to create any desired application. Also, migrating from JavaScript to Python is very easy for people who want to go from front-end to back-end, even though the two languages ​​are different.

8. Using Python in universities

Due to the use of Python in the field of artificial intelligence, deep learning, and data science, today this language is used to teach programming in schools and universities.

9. Automation capability

The many tools and modules that Python provides to the developer make the process of automating repetitive and boring tasks very easy and save time. Meanwhile, the number of lines of Python code for automation tool development is so small that it surprises the programmer.

10. Python is the language of startups

Ease of use, fast development, and low costs make Python a good choice for small startups with limited budgets. With the significant increase in the popularity of social media and the explosion of data in this platform, many startups active in the field of data analysis go to the Python language.

Python frameworks

Python frameworks are a collection of modules and packages that help developers speed up development. These frameworks automate common processes and implementations and save time, allowing the developer to focus only on the application logic and leave the implementation of these common processes to the framework.

Python frameworks are generally divided into two categories:

  • A micro-framework that is easy and convenient to use and suitable for developing small and medium-sized applications.
  • The full-stack framework, which has a more complex nature, provides the user with more extensive libraries, has the ability to manage data, and is used for the development of various applications.

Developers need access to the frameworks of this language to build applications with Python. Here we introduce 5 examples of the best and most popular Python frameworks:

1. Django

python django

Large companies use the Django framework to save time and write less code in developing web applications. Django is a full-stack framework and is very popular because it is free and open-source. In fact, Django is so popular that if you go to a Python developer, wake him up, and ask him at gunpoint to design an app for you, you have no doubt that he will automatically switch to Django.

This framework includes all the necessary features by default, but its main feature is the emphasis on the principle of “avoid duplicate work”. Developers save time in the development of their projects with the help of Object-Relational Mapping, which is available in the Django framework.

Large companies and organizations that use the Django framework to build applications include NASA, Instagram, YouTube, and The Washington Post.

2 .  Flask

flask

Flask falls under the category of microframeworks, which means it focuses on the bare minimum and leaves the rest to the developer. The Flask framework is a very suitable choice for people who know exactly what they want and want to have their hands open in designing web applications. This framework is also a good choice for emergency projects, medium to large scale. In cases where Django does not meet your needs in the development of web projects, you can go to Flask.

Famous brands that use Flask include Netflix, Lyft, Airbnb, Reddit, and Mailgun.

3. Bottle

bottle framework

If you think that Flask doesn’t open your hands enough to design the application you want, go to Battle. Battle framework is a good choice for developing very small applications (for example, less than 500 lines of code) that do not require special features. Since Battle is a microframework, it only depends on the Python standard library.

Of course, keep this point in mind that in practice, using the Battle framework may interfere with your work; If you need to add a special feature to the application in the middle of the project, you will be in trouble, because Battle puts all the code in a single file. The battle framework is not suitable for developing large applications.

4. CherryPy

Cherry Pie framework

CherryPy is an open-source microframework for Python. Its minimal design is suitable for building web applications that can run on various platforms, including Windows, MacOS, Linux, and any other operating system that supports Python.

Cherry Pie is a good option for startups because it has few restrictions. This framework uses any type of technology for formatting, data access, etc., and it easily handles sessions, statistics, cookies, file uploads, and so on. The CherryPy community supports both beginners and professional developers.

5. Web-to-Py (Web2Py)

web2py framework

Web2Py is a full-stack framework and is a good choice for developers and data scientists due to its data management capabilities. This framework is mostly used for projects related to data collection and analysis.

Python libraries

The main difference between a framework and a library is their “complexity”, which is less in libraries. A library is a set of packages that implement certain operations, while a framework contains the architecture of an application.

When the developer calls a method from the library, the control of the development process is in his own hands; But in the case of frameworks, the control of the process is in the hands of the framework, not the developer. Frameworks are more commonly used than libraries because they are more flexible and provide tools for the user to extend their features. Next, we will introduce 5 popular Python libraries

1. TensorFlow

tensorflow library

TensorFlow is an open-source library suitable for projects related to neural networks, computational graphs, and applications focused on machine learning. This library was created by Google in collaboration with the Brain Team deep learning artificial intelligence research team; For this reason, this library is present in almost all Google applications for machine learning.

2. Scikit-Learn

Scikit-Learn library

The PsycheLearn library is for Python applications focused on machine learning and is ideal for validating supervised models on unseen data.  Scikit-Learn also provides an efficient approach for clustering, factor analysis, and principal component analysis for unsupervised neural networks and is a good choice in the field of image processing, such as feature extraction from images and texts.

3. Numpy

NUMPY library

Numpy is a library that other libraries such as TensorFlow use as their internal library to perform several operations. Since Python deals with applications in the data domain, Numpy helps developers a lot with its complex capabilities.

The main advantages are interactive features and ease of use. This library greatly simplifies complex mathematical implementations. If you are thinking of doing a project in the field of data science and machine learning, using the Numpy library will help you a lot.

4. Keras

keras library

Keras is a machine learning library in Python and provides a smooth mechanism for developing neural networks. Cress also offers best-in-class applications for model compilation, data set processing, graph visualization, and more.

This library is used in the development of backend applications based on Python. For example, Uber, Netflix, and Instacart use this library. In addition, startups with machine learning at the core of their product design have a special look at this library.

5. PyTorch

pytorch library

PyTorch is one of the largest machine learning libraries that allows developers to perform tensor calculations and performs well in the field of neural networks. If you are interested in natural language processing (NLP), the PyTorch library is a good choice for your projects.

Facebook developed this library in its artificial intelligence research group, and Uber uses it in the backend of its “Pyro” programming software. Since its inception, PieTorch has grown in popularity and attracted the attention of an increasing number of machine learning developers.

What projects can be developed with Python?

Artificial intelligence robots and the future of jobs

Learning the basics of Python is one thing, but what to do with this skill is another story and may become a challenge for some. Here we introduce 15 interesting and practical projects that can be developed with Python, which are good options to start with:

1. Organize files in the system

Python can be easily used to automatically organize files on the system. Operations such as renaming, copying, and moving hundreds of files can be done by writing a piece of Python code in a few seconds. For example, beets, a free and open-source software for organizing music files, uses Python and allows the user to manipulate the codes and even write the desired plug-in.

2. Listing

Using Python, you can save a list of your favorite websites on the Python command line instead of bookmarking them and moving them from one browser to another. For example, Buku bookmark management is written in Python 3 and besides managing the list of favorite websites, it has the possibility of automatic tagging, fixing broken links and searching in the database, and even locking and encrypting your lists.

This app is an open-source project and if you have an idea and don’t know what to do with it, you can add it as a new feature to this project so that other users can use it.

3. Creating a resume on a static website

Written in Python, Pelican is designed for building static websites and is a great choice for creating a clean yet interactive resume. In Pelican, you can access Python codes and modify them as much as you want.

4. Building dynamic websites

Python web frameworks such as Django and Flask will help you a lot to build dynamic websites with many features. For example, Instagram uses Django and Pinterest uses Flask, and both have the ability to manage high-resolution images, complex user interactions, and responsive web design elements, and use Python in their backend.

5. Data visualization

Data visualization with Python

Python libraries provide a large set of data visualization tools to make it easier to examine data using graphs and maps. With the Python-based visualization library Seaborn and Matplotlib, you can easily display your data as graphs and maps, and use libraries like Bokeh to add more interactivity.

6. Construction of neural network

Companies like Uber use neural networks to communicate between passengers and drivers and even improve the quality of food and restaurant offers. Python language is at the center of these activities. According to Uber, the Pytorch deep learning library is the mainstay of the company’s algorithm development.

Python provides libraries such as Tensorflow and Cress for deep learning projects. By learning Python and using these libraries to build neural networks, you will gain a skill that will be useful in various projects for years to come.

7. Building a recommender engine

Sentiment analysis with Python

Another popular use of machine learning is the recommender engine. Python libraries such as NumPy and Scikit-Learn provide the user with a large set of diverse tools to create a platform for product offerings, for example, in online stores. For example, with the help of this data science stack and its combination with big data frameworks such as Apache Hadoop, Spotify, and Netflix can analyze data and suggest their favorite music and movies to users.

8. Analysis of user feedback

User sentiment analysis helps businesses make important decisions, and Python’s data science stack, its natural language toolbox (nltk), combined with simple, supervised learning algorithms can quickly identify comments, tweets, or any kind of feedback from Check the user side.

9. Collecting data from websites

Of course, many of these projects mentioned so far are not possible without data collection. With the help of Python and libraries and frameworks like Selenium , ScraPy and BeautifulSoup, you can easily extract information from different websites. Additionally, Python easily integrates with existing APIs, helping to pull structured data from websites quickly and efficiently.

10. Making mobile applications

More than 45% of the world’s population uses a smartphone, and for this reason, the mobile application market is always hot. With the help of the Kivy Python framework, you can develop applications that can be run on different operating systems. For example, Dropbox has used Python to build its mobile application, which runs without any problems on Windows, Mac OS, and even some Linux distributions.

11. Cryptocurrency exchange

With the help of Python, you can create a cryptocurrency trading robot that is active all the time and operates independently of the user. It is also possible to predict the best time to buy and sell cryptocurrency by combining machine learning algorithms in this bot. Even if you are not interested in buying and selling cryptocurrency yourself, your bot can have a high price in the market.

12. Making bots for social networks

With the help of Python, bots can be made to take over a large amount of your online activities on social networks. You can connect directly to social networking services with the help of libraries like Tweepy and InstaPy, or write a bot code and connect it to an API, just like the ones offered by YouTube Reddit, or Discord.

13. Creating a chatbot

These days, with the advent of ChatGPT and Bing Chat, the chatbot market is hot! Python makes it possible to build complex chatbots by integrating nltk with machine learning libraries. You can even add sound to your chatbot using the PyAudio and SpeechRecognition libraries and add speech-to-text functionality.

14. Connecting to the Internet of Things

With tools like Arduino and Raspberry Pi, you can build robots, home appliances, and small devices that connect to the Internet of Things and use the Python language. For example, MicroPython is an open-source project that greatly simplifies programming for microcontrollers. You can even set up your own  firewall or irrigation system using Python.

15. Use of other languages

Sometimes the project you have in mind cannot be completely written in Python. In this situation, it is not necessary to abandon Python completely and go for other languages; Rather, the flexibility of Python allows you to use their capabilities in your Python project with the help of special Python modules (extension modules) wherever you need to use another language such as C or C++.

What companies use Python?

Many technology companies and large and successful organizations in the world use Python language for their website backend development or data analysis. Here we get to know some of them:

Instagram

Instagram

Instagram , the largest photo sharing application in the world with more than 2 billion daily active users, uses the Django framework, which is written in Python, for its backend, and the reason for this is the simplicity and popularity of Python.

Google

Google

Google is the most used search engine in the world with a 93% share of the market. Google has been a fan of Python since the beginning, and its founders decided to “use Python wherever possible and C++ wherever necessary .” The ease of using Python is enough that Google’s first web crawler, which was written in Java, was later rewritten in Python to make it easier to use.

Spotify

Spotify

Spotify, a music and podcast streaming platform, was launched in 2008 and has more than 450 million active users today. While Spotify’s website uses WordPress, its application is built with Python. 80% of Spotify services are based on Python and the rest are based on other languages ​​such as Java, C, and C++. Spotify also uses Python for data analysis and backend services.

Netflix

Netflix

With more than 200 million members, Netflix is ​​the largest Internet television network in the world. Like Spotify, Netflix uses Python for data analysis. Additionally, it allows its software engineers to code in whatever language they are most comfortable with, and most Netflix programmers have preferred Python. According to Netflix engineers, Python’s standard library, its highly active and growing community, and the wide variety of available libraries make it possible for developers to solve any problem.

Reddit

reddit

The Reddit website has more than 400 million monthly active users and is the 10th most visited website in the world in 2023. Reddit originally used Lisp but was rewritten in Python six months after launch. The reason for this change was Python’s access to more diverse libraries and its flexibility in terms of development. When Reddit hires programmers, they tell them that everything they write must be in Python so that it’s easier to read and it’s easy to understand if the code they wrote is good or bad.

Python language has many fans among large companies and organizations. Other examples of prominent companies using Python include Facebook, NASA, Quora, Pinterest, YouTube, Dropbox, Amazon, Uber, Lyft, CIA, PayPal, Nokia, and IBM.

Install Python

Python can be installed on Windows, Linux, MacOS, and certain platforms such as Android, iOS, Solaris IBM AS/400, etc. and there are different ways to install it. But before installing, you should know that Python has two versions, 2 and 3. Version 2 was popular in the 2000s, but now the best version to use is version 3; Because the language and libraries are only updated in the third version.

The easiest way to install the latest version of Python is to download it from the official site itself. Just be careful when installing, check the “Add Python 3. x to PATH” option so that after installation you can install coding and Python packages through the cmd environment. In the Windows environment, you can also download and install Python through the Microsoft Store, which is very easy.

  • Introductory training of Python programming language
  • What tools and software will we need to start programming?

Most Linux distributions also come with Python by default, and you may need to update it to the latest version. To install Python in Linux, you can do it through the package manager, and if it is not possible, through the source codes.

The easiest way to add functionality to pure Python, especially for data scientists, is to download it from the Anaconda site. The package you download from this site includes pure Python, essential libraries for scientists, and machine learning (such as name, say, and pandas), as well as two coding tools, Spyder and Jupyter Notebook. Installing this package is very easy and you only need to select your operating system and click on download.

How long does it take to learn Python?

If you have no background in Python and want to start learning it from scratch, it usually takes three to six months to learn it; However, it takes several years to become an expert in this language.

If you have a background in the Java programming language and want to learn Python as a second language, it only takes a day or two to familiarize yourself with the Python environment and write your first “hello world” code. If you use interactive platforms like Educative or CodeCademy or freeCodeCamp, you can write very simple programs in Python in a few minutes.

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On the other hand, if you plan to use Python in data science (for example, for data analysis or machine learning), it takes less time to learn, because for data science you only need a specific use of the language and an understanding Its basic principles do not take more than one to two months. According to 365datascience statistics, if you devote 5 hours of your time a day to learning Python, you can learn the fundamental principles required for data science analysis in Python within a month.

Fortunately, in order to be hired as a Python programmer, you don’t need full expertise in this field, and just learning Python, debugging, and familiarity with software development tools such as Git is enough; You will gain expertise along the way.

Where to start to learn Python?

The best way to learn Python or any other programming language is to practice coding on a daily basis. Of course, that’s easy to say, because as soon as you start coding, you’re faced with big challenges, and all you have to do is drop a semicolon somewhere and you’ll get a whole bunch of error messages. That’s why you will need a guide to learn Python.

Although you’ll get the best guidance from face-to-face interactions with people familiar with Python, there are other ways to learn the language. For example, you can use free websites like w3school or geeksforgeeks or freecodecamp or online courses like The Complete Python Pro Bootcamp on the Udemy website and when you get a good understanding of this language, go to read a book like Automate the Boring Stuff with Python for a deeper knowledge of Get Python. Of course, reading a book is not an easy way to learn a programming language, and you can use online courses based on these books.

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On the other hand, you can advance learning Python by running a project; For example, a project related to automation, building a web application, or even a machine learning model.

These days, learning Python with mobile applications has also become popular; Programs like SoloLearn or Datacamp provide you with a simple way to learn programming languages ​​and use an environment to run codes; However, you may need to get help from other guides as well.

Python alternative languages

The most famous alternative programming language to Python is called Ruby, which is structurally so similar to Python that it is difficult to learn them one after the other; It’s like trying to learn Spanish and Portuguese at the same time.

Another alternative language in the web domain is full-stack JavaScript. Python and JavaScript are not very similar, but they can be used for similar purposes.

Weaknesses of Python

Python is often accused of being “slow” because of its high-level and interpretive nature; Because the interpreter has to do the extra work of translating the bytecode into something machine executable. Simply put, if you can speak to someone in your native language, the conversation will go faster than if you had the help of a translator to translate your language into a language that the other person can understand.

Python is often accused of being “slow”.

Python also takes more time to run than low-level and compiled languages ​​like Java or Rust because it has to be converted into a language that can be understood by the computer. As a result, Python is not often used in cases where execution speed is extremely important, such as building distributed database systems or developing heavy games.

On the other hand, the efficiency of Python in terms of using memory and storage space is less than that of compiled languages; As a result, mobile applications written in Python consume a lot of RAM and battery.

Another weakness of Python is its variety of different versions, which can be confusing for those who are planning to start programming for the first time.

Regarding Python, the concern of scalability is sometimes raised; However, this problem can be solved to some extent with alternative Python implementations such as PyPy.

The Future of Python

From its humble beginnings as a small Christmas project, Python has taken a long and bumpy journey to become one of the most popular programming languages ​​in the world. Many of the key principles that led to the birth of Python, including simplicity and ease of understanding, still hold true for the language and will define its future development path.

The future of Python

Although Python is becoming more and more popular and has virtually taken over the field of data science, there are some challenges in its way. For example, Python’s presence in smartphones, which are more common these days than PCs, or multi-core processors, is minimal.

Python has taken over the field of data science, But its presence in smartphones is weak

The main reason for Python’s popularity is its use in machine learning; But it doesn’t have much to say in the field of mobile or web application development, because it is slow. Python creator Van Rasmus, who now works at Microsoft, admits that Python-based applications consume a lot of RAM and battery. He is improving the performance of Python and believes that it is possible to double the efficiency of Python in the future.

In addition, due to being “sticky”, Python has acquired a wider range of users, and programmers push the boundaries of this language every day with the power of their creativity and innovation. Many people think that Python is only used in the backend, but the capabilities of this language are much more than these words.

In the words of Python’s creator, Guido van Rossum, “Python is a test to determine how much freedom programmers need.” If it exceeds its limit, no one can read another person’s code. If it falls below its limit, the ability to express ideas will be jeopardized.

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