Technology
The best video enhancement apps with direct download links
Published
1 year agoon
Don’t know how to improve video quality? Here we introduce you the best video enhancement apps with direct download links to make even the worst videos clearer.
The best video enhancement apps with direct download links
We’ve all had times when the quality of a video isn’t what we want it to be. This is especially relevant for mobile devices. Hand shake, less-than-ideal lighting, or poor-quality hardware can ruin a recording.
If you’ve ever wondered how to improve video quality, you’re in luck. Today, we are going to review the best video enhancement apps for Android and iOS . Try them out and see how a video enhancer program can change the way your video quality looks. Using one of these amplifiers can turn an amateur project into something professional.
Why use a video enhancer?
Video enhancers have many features that can give new life to your video. Naturally, not all apps have all of these features, but you can expect a range of the following:
- High resolution
- Better lighting
- Improved stability
- Noise reduction
- Brightness settings
- Cut, rotate and rotate
- Filters
- Effects and animations
So, what are the best video enhancement apps ? Depending on your project, you may need more than one program, but some programs are superior to others.
Read more: The best free messaging apps for Android with direct download links
1. Filmora movie editor
Available in: Windows, Mac
If you’re looking for an affordable desktop video enhancer, Filmora is a good choice. You can pay $49 per year or purchase a perpetual license for $79. It is important to note that each of these licenses is only valid for one device. A perpetual license includes updates, but not newer versions of the software if they are ever to be released.
A free version is available, but it leaves a watermark on your content and doesn’t give you access to the app’s extensive library of effects through the Store. So in this case, the full version is worth it.
Filmora tools are a great way to create a higher quality video. You can enhance your video with stabilization, brightness, contrast, hue and saturation controls. There are also tons of covers, motion graphics, and title templates.
Finally, multiple video formats are supported. They allow you to export videos in a format optimized for posting on YouTube and Vimeo.
Download : Filmora Video Editor (free, professional version available)
2. PowerDirector
Available on: Android, iOS
There may come a time when you need a video quality booster on the go.
If you have an Android or iOS device, one of the best video enhancement apps is PowerDirector. It has over 100 million downloads and an Editor’s Choice award from the Google Play Store.
PowerDirector is almost a professional program, but it’s free to download and use.
Features include multi-track timeline editing, effects editor, blue screen and green screen support with chroma key editing, audio tools and many effects.
This app also has a photo editor. If you’re currently using a photo editor for Android or iOS, you might be able to uninstall it and save some space on your device.
Download : PowerDirector for iOS | Android (free in-app purchases available)
3. Avidemux
Available in: Windows, Mac, Linux
Avidemux is a free and open source video editing and processing program. This is one of the best free video enhancement apps for Mac.
If you want to improve the quality of your video, you can use the software’s stabilization tool and resolution converter. This application allows you to upgrade ordinary videos to high definition.
This is a great app to use if you have a variety of video formats in your library. It supports FLV, MKV, AVI, WMV, MOV, OGM, MPEG, MP4 and more.
On the downside, Avidemux doesn’t offer a video timeline or creative effects. As such, it may not be suitable for people who need a video enhancer for their work.
Download : Avidemux (free)
4. Pinnacle Studio
Available in: Windows
If you’re a Windows user who needs to improve video quality, you should check out Pinnacle Studio Pro. This program works well to enhance iPad videos as well as iPhone videos after bringing them to Windows.
Pinnacle Studio Pro used to be a native iOS app, but now that it’s available on Windows, there are advanced features that work well with iPhone videos.
Pinnacle has been producing video editing programs for a long time. Pinnacle Studio has speed and transition controls, individual frame editing, effects such as picture-in-picture and pan and zoom, and an audio editor.
Pinnacle Studio, another one of the best video enhancement apps out there, promises cinema-level finished projects, but without the steep learning curve compared to other editing software.
Pinnacle Studio Pro is not free and can be a bit expensive. It starts at $59 and the Ultimate version is $129.
Download : Pinnacle Studio Pro ($59)
5. FonePaw Video Converter Ultimate
Available in: Windows, Mac
First of all, FonePaw Video Converter Ultimate is a video resolution enhancer. This program enhances video resolution and allows you to convert a 480p video to 720p, 1080p and 4K.
You can also use this app to improve dark videos by brightening them, stabilize videos by reducing shake, and edit video color balance by adjusting hue, saturation, and contrast.
FonePaw Video Converter Ultimate works with many video formats, meaning you don’t need to look anywhere else. Supported formats include MKV, AVI, WMV, MP4, FLV, MP3, WAV, M4A, WMA, 3GP and MJPEG.
The program is not free. You can enjoy a trial without limits, but then you have to pay $70 for a one-time license. This is a lifetime license for one computer. Or you can purchase a one-year license for $50.
Download: FonePaw Video Converter Ultimate ($70)
6. Video shop
Available on: Android, iOS
Videoshop is a cross-platform smartphone app that aims to add some fun to your video enhancement process.
The next best video enhancement app, this app takes a simpler approach than some of the others we’ve talked about so far, making it a great tool for people who want to create social media-worthy content.
For example, you can enhance a video with a range of sound effects, including animal sounds, explosions and laughter. There’s also a stop-motion tool for short videos on Twitter, support for slideshow videos, and a music library.
Videoshop also has a serious side. Features like cut, slow motion, fast motion, audio and reverse playback are all there.
Although there are some in-app purchases for additional tools and content, you can download and use the app for free.
Download : Videoshop for Android | iOS (free in-app purchases available)
7. InShot
Available on: Android, iOS
InShot is our final pick of the best video enhancement apps. This is another very popular cross-platform mobile app. The Android version alone has more than 100 million downloads.
This app is both a video editor and a video maker, which means you have complete control over how to improve the video quality.
InShot includes a video editor, splitter and merge, countless filters and effects, speed control, video format converter, and audio editor.
Again, this app will appeal to social media enthusiasts who want a video enhancement program. It has a preset list of aspect ratios that cover all the leading social platforms, so your video will fit any audience.
Download : InShot for Android | iOS (free in-app purchases available)
Edit your videos like a pro with a video enhancer app
There is no point in downloading these video enhancer programs if you don’t know how to improve video quality in the first place. However, it’s worth learning more about specific video editing tools and techniques before diving into these programs.
Using these video boosters can help you turn your creative ideas into something ready for others to see. Who knows, maybe one of these apps can help you create the next big viral video.
Source: MAKEUSEOF.COM
You may like
-
How to solve the problem of slow charging of the Android phone?
-
The new version of Copilot was unveiled; Microsoft artificial intelligence
-
Everything about Python; A programming language for everyone
-
iOS 18 review: A smart update even without Apple’s intelligence
-
Everything you need to know about the Windows Blue Screen of Death
-
The Strawberry Project; The OpenAI artificial intelligence model
Technology
How to solve the problem of slow charging of the Android phone?
Published
2 days agoon
06/10/2024How 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.
-
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.
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.
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
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
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.
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.
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.
Technology
The new version of Copilot was unveiled; Microsoft artificial intelligence
Published
4 days agoon
04/10/2024The 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.
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.
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.
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.
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.
Technology
Everything about Python; A programming language for everyone
Published
1 week agoon
30/09/2024Noun: Neutral
Adjective: (gender).
Conjunction: the sound sequence /ɛn/.
onAdjective: In the state of being active, functioning or operate.
Adjective: happen; ; being or due to be put into action.
Adjective: Fitted; covering or being worn.
Adjective: Acceptable, appropriate.
Adjective: Possible; capable of being successfully carried out.
Adjective: destined; involved, doomed.
Adjective: Having reached a base as a runner and being positioned there, awaiting further action from a subsequent batter.
Adjective: Within the half of the field on the same side as the batsman’s legs; the left side for a right-handed batsman.
Adjective: Of a ball, being the next in sequence to be potted, according to the rules of the game.
Adjective: Acting in character.
Adjective: Performative or funny in a wearying manner.
Adjective: menstruating.
Adverb: To an operate state.
Adverb: So as to cover or be fitted.
Adverb: Along, forwards (continuing an action).
Adverb: In continuation, at length.
Adverb: See also ‘odds-on’.
Preposition: Positioned at the upper surface of, touching from above.
Preposition: Positioned at or resting against the outer surface of; attached to.
Preposition: covering.
Preposition: At or in (a certain region or location).
Preposition: Near; adjacent to; alongside; just off.
Preposition: support by (the specified part of itself).
Preposition: Aboard (a mode of transport, especially public transport, or transport that one sits astride or uses while standing).
Preposition: At the date or day of.
Preposition: At a given time after the start of something; at.
Preposition: deal with the subject of; about; concerning.
Preposition: In the possession of.
Preposition: Because of; due to; upon the basis of (something not yet confirmed as true).
Preposition: At the time of (and often because of).
Preposition: Arrived or coming into the presence of.
Preposition: Toward; for; .
Preposition: Engaged in or occupied with (an action or activity).
Preposition: Regularly taking (a drug).
Preposition: Under the influence of (a drug, or something that is causing drug-like effects).
Preposition: In addition to; besides; indicating multiplication or succession in a series.
Preposition: Serving as a member of.
Preposition: By virtue of; with the pledge of.
Preposition: To the account or detriment of; denoting imprecation or invocation, or coming to, falling, or resting upon.
Preposition: Against; in opposition to.
Preposition: According to, from the standpoint of; expressing what must follow, whether accepted or not, if a given premise or system is assumed true.
Preposition: In a position of being able to pot (a given ball).
Preposition: Having as identical domain and codomain.
Preposition: Having <math>V^n</math> as domain and V as codomain, for the specified set V and some integer n.
Preposition: generate by.
Preposition: of.
Preposition: At the peril of, or for the safety of.
Verb: To switch on.
Noun: In the Japanese language, a pronunciation, or reading, of a kanji character that was originally based on the character’s pronunciation in Chinese, contrasted with kun.
Adjective: In the state of being active, functioning or operate.
Adjective: happen; ; being or due to be put into action.
Adjective: Fitted; covering or being worn.
Adjective: Acceptable, appropriate.
Adjective: Possible; capable of being successfully carried out.
Adjective: destined; involved, doomed.
Adjective: Having reached a base as a runner and being positioned there, awaiting further action from a subsequent batter.
Adjective: Within the half of the field on the same side as the batsman’s legs; the left side for a right-handed batsman.
Adjective: Of a ball, being the next in sequence to be potted, according to the rules of the game.
Adjective: Acting in character.
Adjective: Performative or funny in a wearying manner.
Adjective: menstruating.
Adverb: To an operate state.
Adverb: So as to cover or be fitted.
Adverb: Along, forwards (continuing an action).
Adverb: In continuation, at length.
Adverb: See also ‘odds-on’.
Preposition: Positioned at the upper surface of, touching from above.
Preposition: Positioned at or resting against the outer surface of; attached to.
Preposition: covering.
Preposition: At or in (a certain region or location).
Preposition: Near; adjacent to; alongside; just off.
Preposition: support by (the specified part of itself).
Preposition: Aboard (a mode of transport, especially public transport, or transport that one sits astride or uses while standing).
Preposition: At the date or day of.
Preposition: At a given time after the start of something; at.
Preposition: deal with the subject of; about; concerning.
Preposition: In the possession of.
Preposition: Because of; due to; upon the basis of (something not yet confirmed as true).
Preposition: At the time of (and often because of).
Preposition: Arrived or coming into the presence of.
Preposition: Toward; for; .
Preposition: Engaged in or occupied with (an action or activity).
Preposition: Regularly taking (a drug).
Preposition: Under the influence of (a drug, or something that is causing drug-like effects).
Preposition: In addition to; besides; indicating multiplication or succession in a series.
Preposition: Serving as a member of.
Preposition: By virtue of; with the pledge of.
Preposition: To the account or detriment of; denoting imprecation or invocation, or coming to, falling, or resting upon.
Preposition: Against; in opposition to.
Preposition: According to, from the standpoint of; expressing what must follow, whether accepted or not, if a given premise or system is assumed true.
Preposition: In a position of being able to pot (a given ball).
Preposition: Having as identical domain and codomain.
Preposition: Having <math>V^n</math> as domain and V as codomain, for the specified set V and some integer n.
Preposition: generate by.
Preposition: of.
Preposition: At the peril of, or for the safety of.
Verb: To switch on.
Noun: In the Japanese language, a pronunciation, or reading, of a kanji character that was originally based on the character’s pronunciation in Chinese, contrasted with kun.
Proper noun: The earth-dragon of Delphi, represented as a serpent, killed by Apollo.
Noun: Any member of the comedy troupe Monty Python: Graham Chapman, John Cleese, Terry Gilliam, Eric Idle, Terry Jones or Michael Palin.
Proper noun: The earth-dragon of Delphi, represented as a serpent, killed by Apollo.
Noun: Any member of the comedy troupe Monty Python: Graham Chapman, John Cleese, Terry Gilliam, Eric Idle, Terry Jones or Michael Palin.
Proper noun: The earth-dragon of Delphi, represented as a serpent, killed by Apollo.
Noun: Any member of the comedy troupe Monty Python: Graham Chapman, John Cleese, Terry Gilliam, Eric Idle, Terry Jones or Michael Palin.
Noun: normal
Noun: Neutral
Adjective: (gender).
Conjunction: the sound sequence /ɛn/.
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.
-
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.
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 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:
- 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.
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 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
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
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 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
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
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 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 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
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 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 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 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?
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
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
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 , 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 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, 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
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.
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.
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.
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.
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.
The wonderful world of ultrasound
How to solve the problem of slow charging of the Android phone?
Why does Everest get higher every year?
The new version of Copilot was unveiled; Microsoft artificial intelligence
Dark matter and ordinary matter can interact without gravity!
Why is the loneliness epidemic so hard to cure?
How to hide a file or directory in Linux?
How does loneliness affect the brain and body?
Everything we expect from the iPhone 16 unveiling ceremony
How to reduce the use of chrome RAM?
Popular
-
Technology1 year ago
Who has checked our Whatsapp profile viewed my Whatsapp August 2023
-
Technology1 year ago
Second WhatsApp , how to install and download dual WhatsApp August 2023
-
Technology1 year ago
How to use ChatGPT on Android and iOS
-
AI2 years ago
Uber replaces human drivers with robots
-
Technology1 year ago
The best Android tablets 2023, buying guide
-
Technology1 year ago
The best photography cameras 2023, buying guide and price
-
Humans2 years ago
Cell Rover analyzes the inside of cells without destroying them
-
Technology1 year ago
How to prevent automatic download of applications on Samsung phones