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Steve Jobs Biography

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Steve Jobs
Steve Jobs, the founder of Apple, was a natural leader and averse to tradition. His vision for Apple and the world of technology took this brand to the highest points.

Steve Jobs Biography

“For the last 33 years, every morning I looked in the mirror and asked myself if today was the last day of my life, would I continue to do what I wanted to do or not?” “Whenever the answer to that question was no for several days in a row, I knew I had to change something.”

This is one of the most famous quotes of Steve Jobs. Jobs, who is considered one of the founders of the most valuable brand in the world, had a charismatic, strict, and purposeful personality and injected the principle of dynamism into Apple’s strategy. Apple’s changes during Jobs’ leadership were so great that the company now owes billions of dollars of its annual revenue to Jobs’ ideas.

They say that if the bridge is damaged, don’t try to rebuild it; Because what is lost is lost. Steve Jobs was a breaker of traditions and even violated this opinion. Forced to leave Apple in 1985, he later returned to the company as CEO in 1996 to show he was serious about making his mental plans a reality.

Table of Contents
  • From birth to youth
  • Apple 1
  • Apple 2
  • Lisa and Xerox Park 
  • Macintosh and leave Apple
  • Next and Pixar 
  • Steve Jobs returns to Apple
  • iMac 
  • iPod
  • Iphone 
  • iPad
  • iTunes
  • Cancer and Death of Steve Jobs
  • The Legacy of Steve Jobs
  • Memorable words from Steve Jobs

Jobs quickly became the most prominent face of Apple, giving motivational speeches and establishing his name as a natural leader. Everything was going well for Apple and Steve Jobs until cancer struck.

Stories are only interesting when their endpoint is success. Jobs was a success by any standard, and his life story is an inspiration to anyone interested in technology and business.

From birth to youth

Steven Paul Jobs was born on February 24, 1955, in San Francisco, California. His mother and father, Joan Schiebel (later Joan Simpson ) and Abdul Fattah John Jandali, both graduates of the University of Wisconsin, gave their son up for adoption to a middle-class couple named Powell and Clara Jobs when he still had no name.

The biological father of Steve Jobs was born in Homs, Syria

Jobs’ father, Jandali, was a professor of political science in Syria, and his mother, Shibel, worked as a speech therapist. Shortly after Steve was adopted, his real parents had another child, Mona Simpson. Steve Jobs had no knowledge of his real family until he was 27 years old.

Clara Jobs was an accountant and Powell was a Coast Guard veteran. They lived in an area called Mountain View, which later became known as Silicon Valley. When Steve was a teenager, he worked on electrical equipment with his father in the old garage.

Pavel taught his son how to disassemble and reassemble the parts of electrical devices, and this was a pastime that gradually established his self-confidence, tenacity, and ability in mechanical activities.

Steve Jobs / Steve Jobs, the founder of Apple, at the press conference

In his youth, Steve was a smart and innovative thinker; However, he was very tired and disillusioned with formal school education. In elementary school, traditional classes bored him. He rarely made friends with his peers and had to be suspended several times because of his bad behavior and dirty jokes; So that the fourth-grade teacher had to bribe him to study.

Jobs’ teacher’s method worked and Steve improved so much in his studies that the school officials asked him to skip two classes and enter directly into high school, But his parents did not agree to this proposal. He took fifth grade as a leap, and in sixth grade he threatened his poor parents to drop out of school, forcing them to spend all their savings on buying a new house so he could go to a new school.

In his youth, Steve Jobs was a smart and innovative person, but he had no interest in studying

After finishing high school, Steve Jobs entered Reed College in Portland, Oregon. Still aimless and lost, he dropped out of college after six months and spent the next 18 months in college creative classes. Steve later said that during this time he fell in love with calligraphy courses and that the Macintosh operating system owes its various letter designs and well-spaced fonts to these courses.

In 1974, Steve worked as a video game designer with Atari. He also left the company several months later to pursue his interest in spiritual enlightenment in India. A trip that made him experience the use of psychedelic pills.

In 1975, Jobs and Steve Woznick met at the Home Go computer club, and this acquaintance became the background for a year later, together with Ronald Wayne, they built the Apple computer in the garage of Jobs’ home on Christ Drive. To finance the initial work, Jobs sold his Volkswagen and Woznik his favorite advanced calculator.

Apple  1

Jobs and Woznik revolutionized the computer industry by popularizing technology and making systems smaller, cheaper, and more accessible. Woznik designed a series of new personal computers called Apple I, and Jobs was responsible for marketing and selling them. These computers were sold for $666 and 66 cents each.

Steve Jobs at the unveiling ceremony of the first Apple computerSteve Jobs at the launch of Apple 1

Apple earned $1,774,000 for Jobs and Woznik’s company. Afterward, Apple executives spent several months in Jobs’ garage assembling Apple 1 boards and selling them to independent computer vendors.

Apple 2

At the same time, Vaznik had started working on a better computer. The new system was much more advanced and its color graphics support was remarkable. Jobs and Woznik knew that the Apple 2 could be a huge success for them; For this reason, Jobs sought to attract investors.

In January 1977, Jobs was able to convince Angel Mike Markola, the former CEO of Intel , to invest $250,000 in Apple. Markola believed in the revolution in computer systems that was taking place and promised the young founders that in less than two years they would see their company on the Fortune 500 list.

Jobs and Woznik knew that Apple 2 had a bright future; For this reason, Apple leaders sought to attract investors and attracted the opinion of the former CEO of Intel

Perhaps Markola was too optimistic about Apple’s growth rate, But he was right about Apple quickly becoming one of America’s success stories. Beautifully packaged, easy to use, and packed with thoughtful features, the Apple II conquered the competitive computer market and made its founders a millionaire.

When VisiCalc software for the Apple 2 was introduced, hundreds of thousands of Americans, from accountants to business owners, bought the Apple 2 to do their calculations and estimates at home. This wave of sales was considered the biggest financial leap up to that time.

After the successes achieved, in 1980, the inventors decided to sell their company shares in the stock market and convert the company into a public stock. Four years later, Jobs’ net worth reached more than $200 million, while he was only 25 years old.

Apple’s success attracted the attention of IBM (computer industry giant), which at the time was still the only major vendor of CPUs to large enterprises. They introduced IBM personal computers in August 1981, a year after the Apple 3 failed in the market due to high prices and some hardware problems.

IBM became the biggest threat to Apple and the company saw its reputation in danger of falling. Jobs and Woznik had all their hopes for a commercial computer project called the Apple Lisa.

Lisa and Xerox Park

Steve Jobs believed in the Lisa project at the beginning, and the scientists of the Xerox PARC Computer Research Laboratory had a great influence on him.

Xerox PARC laboratory specialists used new technologies such as graphical user interface (GUI) and mouse, Ethernet, laser printing, and object-oriented programming to prepare this industry. Jobs fell in love with the GUI because it was easier to use than a text-based command line.

Steve Jobs next to Apple LisaSteve Jobs next to Apple Lisa

Despite the addition of a graphical user interface and a mouse, the Lisa failed economically. Some experts cite the high price and slower-than-expected speed as the cause of the failure, and some consider Jobs’ relative inexperience in the field of management and marketing to be the cause of this disaster.

Jobs was looking for a talented manager who could help them in the development and expansion of the company, and in 1983, he agreed with John Scully, one of the managers of Pepsi-Cola Company, to take over the management of Apple.

Macintosh and leaving the Apple

The failure of the Lisa project hurt Jobs a lot, and he decided to work on a small project called the Macintosh. The Macintosh was supposed to be an inexpensive personal computer that was as easy to use as a toaster.

The Macintosh was supposed to be an inexpensive personal computer that was as easy to use as a toaster

Jobs took charge of the Macintosh project and decided to build a smaller, cheaper version of the Lisa, complete with a graphical user interface of folders, icons and pull-down menus, and a mouse. The realization of the Macintosh project took three years. Jobs enlisted the help of a small group of brilliant young engineers who believed in his vision, and of course, he had the support of John Sculley.

In January 1984, Jobs introduced the Macintosh at the company’s annual shareholder meeting. The project was launched with much fanfare and was relatively successful in the first few months. However, by early 1985, sales were declining; Although Jobs refused to acknowledge this and still claimed that the Macintosh saved Apple.

Steve Jobs’ reaction to the success of the Macintosh created a lot of tension within the company, especially between Jobs and Scully. In May of the same year, Steve Jobs tried to convince Roya and the senior managers of the company to fire Scully, but they voted to keep Scully, and it was announced that after this, Jobs would have no operational role and duties in the company and would only continue as the chairman of the board of directors. Gives.

Steve Jobs with Apple One computer
Steve Jobs with Macintosh

Jobs spent the next four months traveling and following the news until he came up with a new plan: to start a new computer company with the goal of reaching higher degrees and employing some engineers who had previously worked at Apple.

When Apple found out about Jobs’ plan, they threatened to sue him for using their valuable information in a rival company. As a result, Jobs stopped working and sold all his shares to Apple. Sometime later, Jobs resumed his plan, but with Next’s integration, Apple postponed the lawsuit for several months.

Next and Pixar

The company NeXT was founded with a capital of seven million dollars, and in 1989 Jobs created the NeXT computer system, whose software is the basis of today’s iPhones.

Next Computer software is the basis of today’s iPhones

Although the Next Computer had many strengths (including the first web browser and application software), it never sold its products at a high level and remained at the level of academic fields.

The second generation of Next computers, called the Next Cube (NeXT Cube), introduced the multimedia e-mail system (Next Mail), which made it possible to send audio, images, graphics, and video for the first time. In 1993, their software suite (Next Step) was handed over to Intel with all its equipment.

Jobs had another activity in these years: he bought an animation company from George Lucas, which was later called Pixar Animation Studio. Jobs counted on the potential of Pixar studio so much that he invested 50 million dollars in it.

Pixar produced popular films such as Toy Story, Saving Nemo, and The Incredibles. In 2006, Pixar merged with Disney and Jobs became the largest shareholder of Disney.

Steve Jobs returns to Apple

Contrary to Pixar’s successes, Next failed to become the most important operating system in America as planned. In 1996, Apple bought Next for $429 million, and the following year, Jobs returned to his former position as the CEO of Apple. Just as Jobs had introduced Apple to the world in the eighties, he revived the company once again with his return.

iMac

The first iMac in the arms of Steve Jobs

By using a new management team, modifying stock options, and of course, imposing a salary of one million dollars a year, Jobs brought Apple back to the market competition scene. Innovative and smart products like iMac, beautiful designs and company campaigns once again attracted the attention of consumers.

iPod

The first generation iPod was released in October 2001. The iPod (the first portable digital music player) was small in size and easy to use. iPod, selling 300,000 copies in 10 years, made Apple the most valuable company in the world.

iPhone

The iPhone was the evolution of modern technology. The production of the first iPhone started in 2005, and in 2007, at the same time as this product was released, it was named the invention of the year.

The Apple iPhone was a small smartphone with multimedia capabilities and a touch screen. The next-generation iPhone supported GPS and internet data and had three bands. In 2009, the iPhone 3GS was produced and released, which had both voice control capabilities, a better camera, and a faster processor than the previous iPhones.

By 2010, Apple had sold 90 million copies of its mobile phones worldwide. The crazy sales of iPhones continue even today.

iPad

Jobs introduced the iPad in January 2010: The iPad was a tablet with the iOS operating system, a touch screen and a virtual keyboard that could connect to Wi-Fi. The iPad sold twice as fast as the iPhone, and in 2015 it was announced that more than 250 million copies of the tablet had been sold worldwide.

iTunes

iTunes was a multimedia streaming service that included a media library, online radio, and mobile device management software for playing, downloading, and organizing digital audio and video files on computers running OS X and Windows operating systems. was used Apple will stop supporting iTunes in 2021.

Related Article: Bill Gates Biography, the founder of Microsoft

Cancer and Death of Steve Jobs

In 2003, Steve Jobs went to the doctor to treat kidney stones, but the doctors noticed a “shadow” on his pancreas. Doctors told the Apple CEO that he had neuroendocrine cancer (a rare but treatable form of pancreatic cancer).

Getting cancer is the worst thing that can happen to anyone, but Steve Jobs was somewhat lucky; Because people with endocrine islet cell tumors are usually informed about their disease earlier than people with other pancreatic tumors and have a better chance of treatment.

Steve Jobs / Steve Jobs, former CEO of Apple, pointing with his right hand

Doctors advised Jobs to go under the knife immediately, but in disbelief, he went to Eastern treatment options. Jobs told his biographer, “I didn’t want to be exposed. I didn’t want to be insulted like that.”

Doctors advised Jobs to go under the knife immediately, but in disbelief, he turned to Eastern treatment options.

Jobs decided to switch to a “magical thinking” approach. For 9 months, he tried to treat his illness through a vegetable diet, acupuncture, herbs, colon cleansing, and other methods he found on the Internet. At some point, he even went to Ramal.

While the board of directors was worried that if the shareholders found out about Jobs’ illness, they would sell their shares and leave Apple; Finally, they agreed with Jobs’ decision to keep this news confidential.

Steve Jobs had a successful surgery in 2004 and the doctors were able to remove his cancerous pancreatic tumor. After the operation, Jobs revealed the secret of his illness in the public media.

Despite all the efforts, it seemed that the cancer did not want to give up on Steve Jobs. In 2006, Steve Jobs’ significant weight loss at Apple’s developer conference fueled rumors that his cancer had returned. At that time, an Apple spokesperson told the media: “Steve Jobs’ health is stable.”

Steve Jobs at Apple's 2006 Worldwide Developers ConferenceSteve Jobs at Apple’s 2006 Worldwide Developers Conference

Apple’s denial did not convince people. As time went by, Steve Jobs looked thinner and more frail at various events. Apple referred to a “common problem” in Jobs’s body, and Jobs himself said that his weight loss was the result of hormonal imbalances. He even once said bluntly, “The reports of my death are greatly exaggerated.”

In 2009, Steve Jobs’ denials ended. He took medical leave at the time and emailed company employees saying his health issues were more complicated than expected.

A few months later, the Wall Street Journal revealed a surprising fact: Steve Jobs had a liver transplant in Tennessee. The hospital initially denied this, but later said in a statement: “When a donor became available, Steve Jobs was the sickest person on the waiting list.”

When a liver donor became available, Steve Jobs was the sickest person on the waiting list

Steve Jobs returned to Apple after 6 months of leave, But his health problems were still there. In early 2011, he took a mandatory leave again. A few months later, Jobs was no longer Apple’s CEO. In an email to company employees, he wrote: “I have always said that if the day comes when I can no longer perform my duties … I will be the first person to tell you. “Unfortunately, that day has come.”

Even at the height of his illness, Jobs tried to maintain his strict and high standards. He talked to 67 nurses at the hospital and finally agreed that three of them would take over the treatment process. However, until a few months later, nothing was done by anyone.

On October 5, 2011, Apple officially announced that Steve Jobs died at his home in California, surrounded by family members. Jobs was 56 years old when he died.

The biography of Steve Jobs was written by Walter Isaacson and published as a book. In 2013, a movie called “Jobs” was made, which depicts a part of his life.

The Legacy of Steve Jobs

Steve always liked to say that he lived every day of his life as if it were his last; He really did that. Steve Jobs changed our lives, gave a new definition to all industries, and did one of the greatest things in human history: he changed the way each of us saw the world in which we live.

– Barack Obama, the former president of the United States

One of the big criticisms of Tim Cook, the current CEO of Apple, is the stop of innovation in Apple after the death of Steve Jobs. Despite the successful launch of the Apple Watch in 2015 and the AirPods in 2016, many critics have argued that Apple has stopped innovating and is still profiting from old ideas.

After the death of Steve Jobs, the world continued to live; But he made a significant impact on the lives of billions of people. By 2018, more than two billion iPhones were sold worldwide to change the way people communicate with each other.

“Jobs had the only type of pancreatic cancer that was treatable,” says one expert. He basically committed suicide.”

“I will always remember Jobs as someone who had a quick mind,” said Apple co-founder Steve Woznick. “Whenever we talked about things inside the company and how things were done, he was always right.”

The vision that Steve Jobs envisioned for Apple and the world of technology brought this brand to the highest point. The strict Jobs, who believed a lot in his mind, opposed the idea of ​​other Apple executives and did not allow market research to be done for the iPad. “It’s not the consumer’s job to figure out what they want,” he said.

When it came to personal health, Steve Jobs again emphasized only his own opinion. He allowed the cancer to spread in his body for 9 months. Some doctors say that the 9-month delay was the factor that caused Jobs’ death. “Jobs had the only type of pancreatic cancer that was treatable,” says one expert. He basically committed suicide.”

The face of Steve Jobs on the Apple logoPhoto known as “Thank you Steve” by Jonathan McLong, a 19-year-old designer from Hong Kong.

In 2010, Steve Jobs knew that the sun of his life was setting. “Sometimes I’m 50-50 about the existence of God,” he told his biographer at one point. This is a great secret that we will never fully understand, But I like to believe that there is life after death. I like to believe that the wisdom gathered during life does not disappear with death.”

Still, Jobs paused at the end of his speech, smiled, and told his biographer, “But maybe everything is like an on/off switch, and after you die, you disappear. Maybe that’s why I never wanted to put a power button on Apple devices.”

Memorable words from Steve Jobs

  • “Your job is supposed to be a major part of your life, you only feel satisfied with your job when you believe you are doing something great. The only way to succeed in great things is to do them with love. If you still haven’t found what you love, keep looking. Things related to the human heart and soul always find their way. Do not hurry; One day you will find the right path in your life.”
  • “We all have to be extraordinary in life; Because this is our life. Life is short and death will come. So it is better to do something that is worth living.”
  • “Focus and simplicity have been my mantras. Simplicity can be harder than complexity. To work hard, you need to clear your mind so that things become simple for you.
  • “I think if you’re doing something and it’s going well, you shouldn’t stop there. You must seek something greater, not settle for it. Think about what the next great, amazing thing will be.”
  • “Quality is much more important and better than quantity. “Achieving great success is more valuable than short and temporary victories.”
  • “What separates a leader from a follower is creativity and innovation.”

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

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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.

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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The new version of Copilot was unveiled; Microsoft artificial intelligence

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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.

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

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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.

User working with Lenovo Legion 5 Pro laptop

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.

Metal body in the beautiful U4 Gigabyte laptop

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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