{"id":3356,"date":"2021-01-25T05:37:36","date_gmt":"2021-01-25T05:37:36","guid":{"rendered":"https:\/\/ded9.com\/?p=3356"},"modified":"2025-12-21T08:19:00","modified_gmt":"2025-12-21T08:19:00","slug":"python-a-programming-language-for-everyone","status":"publish","type":"post","link":"https:\/\/ded9.com\/de\/python-a-programming-language-for-everyone\/","title":{"rendered":"Python: A Programming Language for Everyone"},"content":{"rendered":"<p><span style=\"font-size: 12pt; font-family: georgia, palatino, serif;\">There is no doubt that Python is one of the most popular programming languages in the world and has become one of the top 3 programming languages for developers in the last ten years. <\/span>According to a 2020\u00a0Stack Overflow survey, more than 40% of developers are currently\u00a0working\u00a0with\u00a0Python, and another 30% are eager to learn the language.<\/p>\n<p><iframe title=\"Python for Everybody - Full University Python Course\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/8DvywoWv6fI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Where did this language come from? Why is it so popular? What are the best Python frameworks and libraries? What products can be developed with it? And what companies and organizations use it? You will find the answers to all these questions in this article.<\/p>\n<p>If you have not yet started learning this language because of your perception of the difficulty and complexity of programming languages, know that Python is genuinely a &#8220;language for everyone&#8221; and is easy for everyone to learn.<\/p>\n<h2><span style=\"font-size: 18pt;\">Python&#8217;s birthday story<\/span><\/h2>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/python-programming.jpg\" alt=\"Python's birthday story\" width=\"750\" height=\"600\" \/><\/p>\n<p>Python was born in December 1989 during the Christmas holidays in Amsterdam, the Netherlands. <em>Guido van Rossum<\/em>, a Dutch programmer at the CWI Institute for Mathematical and Computer Science Research at the time, decided to write an ABC-based commentator for the long-awaited new scripting language for the Christmas holiday.<\/p>\n<p>ABC is a versatile, high-level programming language similar to BASIC and Pascal, developed at CWI. The purpose of the ABC was to teach programming and prototyping, and because it was high-level (that is, it resembled human language), it was easily read in English. It was the best way to teach beginners how to do loops, logic, and data.<\/p>\n<p>Van Rossum had been working on the ABC project for several years and used many of its features in Python. The reason for choosing the name &#8220;Python&#8221; for this new language was his interest in the series &#8220;Money Python Bird Circus&#8221;.<\/p>\n<p>Guido intended that application Development be possible easily and without worrying about hardware, memory management, and the like; So he decided to invent his programming language, to get his ideas inspired by ABC, but to reduce the project time from three years to quarterly projects; And that&#8217;s how Python was born.<\/p>\n<p class=\"pullquote\"><strong>The name Python is derived from the comedy series Monty Python<\/strong><\/p>\n<p>In February 1991, Van Rossum published the Python code in alt. sources. Alternative sources were like a forum where people shared their source code, and it can be considered one of the first platforms to help develop open-source projects.<\/p>\n<p>Python is an interpreted language, meaning that code is written in the form of a File. Then the interpreter reads the File line by line and converts the code into computer-understandable instructions.<br \/>\nThe Python language was based on the principle <strong>of comprehensible programming for all<\/strong>, and Van Rossum adhered to this principle throughout his career.<\/p>\n<p>Early Khido did not have much hope for Python&#8217;s popularity. Before the advent of the Internet, it wasn&#8217;t easy to persuade people to use the new programming language. In the 1980s, Khido had to travel and distribute magnetic tapes to people for years to promote the ABC.<\/p>\n<p>ABC could not make room for programmers at the time. For this reason, Khido did not expect much from Python, although introducing Python, which could be downloaded from Usenet, was much easier than distributing magnetic strips from house to house.<\/p>\n<p><img decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/vanrossum.jpg\" alt=\"ABC could not make room for programmers at the time. For this reason, Khido did not expect much from Python, although introducing Python, which could be downloaded from Usenet, was much easier than distributing magnetic strips from house to house.\" width=\"750\" height=\"500\" \/><\/p>\n<p>But in 1995, a company called Zope was founded that specialized in the production of flyers for the Internet.<\/p>\n<p>Zope creates dynamic web pages written in Python. The company can be considered one of the main reasons for the popularity of Python in the early days. A team of Python developers led by Van Rossum joined in 2000.<\/p>\n<p>It was around this time that Van Rossum was dubbed the &#8220;benevolent dictator for life&#8221; because he was the inventor of the language and controlled its Development. The title was later given to textbook project leaders who were the founders of the project and who had the final say in discussions and disagreements.<\/p>\n<p>Version 2 of Python, released in October 2000, quickly became popular in the System segment, as developers were able to use this version to find creative ways to automate their processes.<\/p>\n<p>During this period, web Development also grew significantly, and frameworks such as Jinja,\u00a0<a href=\"https:\/\/ded9.com\/what-is-flask-microframework-and-what-is-its-use\/\">Flask<\/a>,\u00a0and\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Django_(web_framework)\" target=\"_blank\" rel=\"noopener\">Django <\/a>emerged, and significant associations were immediately created for these frameworks.<\/p>\n<p><img decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/how-python-works.jpg\" alt=\"During this period, web Development also grew significantly, and frameworks such as Jinja,\u00a0Flask,\u00a0and\u00a0Django emerged, and significant associations were immediately created for these frameworks.\" width=\"750\" height=\"1078\" \/><\/p>\n<p>In 2001, the Python Software Foundation was founded, an American non-profit organization dedicated entirely to the Python language.\u00a0The foundation is also responsible for hosting the Python Conference, which is held in 40 countries.<\/p>\n<p>By 2010, Python-based frameworks were in the top ten, despite the growing number of competitors to dynamic websites. The 2000s are arguably Python&#8217;s heyday.<\/p>\n<p>According to\u00a0TIOBE, in 2000, Python was the 20th most widely used language. It climbed to sixth place by 2005 and is currently in third place after C and Java. The website selected Python as the &#8220;Programming Language of the Year&#8221; in 2007, 2010, 2018, and 2020.<\/p>\n<h2 class=\"pullquote rarticle\"><span style=\"font-size: 14pt;\">Python was chosen as the &#8220;Programming Language of the Year&#8221; for four years<\/span><\/h2>\n<p>In 2005, Van Rossum joined Google and started working on the\u00a0Google App Engine, the Google application engine that runs Python applications in the cloud.\u00a0Python&#8217;s bright future was guaranteed by Van Rossum joining Google.<\/p>\n<p>Version 3 of Python was released in December 2008, and because it was not compatible with Python 2, it caused a lot of trouble for developers.\u00a0Some developers preferred to work with Python 2 and others with Python 3.<\/p>\n<p>Although Python was popular among tech startups, it had no place among the big companies.\u00a0It wasn&#8217;t until the late 2000s that\u00a0MIT student\u00a0<em>Drew Houston<\/em>, after leaving his flash drive at home, thought of creating a file-sharing space, and in 2007, introduced the Dropbox software for this purpose.<\/p>\n<p>Dropbox was written with Python and reached three million users in one year, attracting the attention of large companies. Since he wrote Dropbox with Python 2, Van Rossum joined the team in 2013 to translate the program into Python 3. Van Rossum worked with Dropbox until his retirement.<\/p>\n<p>It was in October 2019 that Van Rossum officially announced his retirement and resigned as &#8220;eternal benevolent dictator.&#8221; Following Van Rossum&#8217;s retirement, the leading Python developers formed a board of directors to decide on future changes to Python, of which Van Rossum is a member.<\/p>\n<p>Today, Python has become so big and popular that more and more people are making decisions about it.<\/p>\n<p>In November 2020, Van Rossum announced that his retirement period was boring and that he had now joined the\u00a0Microsoft\u00a0Developers Division.\u00a0He promised in a tweet to improve the use of Python (not just for Windows).<\/p>\n<h2><span style=\"font-size: 18pt;\">Zen of Python<\/span><\/h2>\n<p>Tim Peters, one of Python&#8217;s leading developers, wrote a set of programming principles in 1999 known as the Zen of Python. Python developers and programmers continue to strive to adhere to these principles. To view these principles in the Python interpreter, enter the code &#8220;import this&#8221; to display this list:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/zen-of-python.jpg\" alt=\"Tim Peters, one of Python's leading developers, wrote a set of programming principles in 1999 known as the Zen of Python. Python developers and programmers continue to strive to adhere to these principles. To view these principles in the Python interpreter, enter the code &quot;import this&quot; to display this list:\" width=\"750\" height=\"652\" \/><\/p>\n<ul>\n<li>\u00a0\u00a0Beautiful is better than ugly.<\/li>\n<li>\u00a0\u00a0Explicit expression is better than implication.<\/li>\n<li>\u00a0\u00a0Simple is better than complex.<\/li>\n<li>\u00a0\u00a0Complex is better than complicated.<\/li>\n<li>\u00a0\u00a0Straight and smooth is better than nesting.<\/li>\n<li>\u00a0\u00a0Scattered is better than dense.<\/li>\n<li>\u00a0\u00a0Readability is important.<\/li>\n<li>\u00a0\u00a0Exceptional cases are not so unique as to break the rules.<\/li>\n<li>\u00a0\u00a0Although feasibility is purer.<\/li>\n<li>\u00a0\u00a0Mistakes should never be ignored.<\/li>\n<li>\u00a0\u00a0Unless they are explicitly silent.<\/li>\n<li>\u00a0\u00a0Avoid the temptation to guess when faced with ambiguity.<\/li>\n<li>\u00a0\u00a0There must be a clear (and preferably only one) method for doing this.<\/li>\n<li>\u00a0\u00a0However, this method may not seem obvious at first unless you are Dutch.<\/li>\n<li>\u00a0\u00a0Now is better than ever.<\/li>\n<li>\u00a0\u00a0Although &#8220;never&#8221; is often better than &#8220;right now&#8221;.<\/li>\n<li>\u00a0\u00a0If its implementation is difficult to describe, it is a bad idea.<\/li>\n<li>\u00a0\u00a0If it&#8217;s easy to describe its implementation, it might be a good idea.<\/li>\n<li>\u00a0\u00a0Letter space is a great idea, let&#8217;s use it more!<\/li>\n<\/ul>\n<h2><span style=\"font-size: 18pt;\">Reasons for Python&#8217;s popularity<\/span><\/h2>\n<p><span style=\"font-size: 16px;\">What if users can program their computers? We look to the future in which every computer user will be able to &#8220;raise the hood&#8221; and improve the applications inside their computer. We believe that this will fundamentally change the nature of software and software Development.<\/span><\/p>\n<p>These were the sentences that the &#8220;Computer Programming for Everyone&#8221; project used to introduce itself. Van Rossum started the project to encourage people to program, and he believed that the programming language should be understandable and straightforward so that any computer user could easily learn it.<\/p>\n<p>Although Python is slower than C and Java and is not suitable for designing applications that require high speeds to run, including heavy games, it has many advantages that make it one of the most popular programming languages.<\/p>\n<p>Here are some examples:<\/p>\n<h3>1.\u00a0Easy to learn and use<\/h3>\n<p>Learning and using the Python language is very easy for beginners, because it has a simple structure, legible code, and commands very close to English, and requires fewer code lines to execute tasks than other languages.<\/p>\n<h3>2. Python Sponsor Association<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/python-community-2.jpg\" alt=\"Python Sponsor Association\" width=\"750\" height=\"422\" \/><\/p>\n<p>Python was created more than 30 years ago, and since then, the Python Language Developers Association has grown to support any developer at any level, whether beginner or professional. There are many free tutorial resources and instructional videos for learning Python in this community and all over the Internet, so people who choose this language to learn will not have to worry about a lack of resources.<\/p>\n<h3>3.\u00a0Support large sponsors<\/h3>\n<p>Programming languages \u200b\u200bare growing faster with the support of large companies. Facebook supports PHP, Oracle and Sun support Java, and Microsoft supports Visual Basic and C#.<\/p>\n<p>Python also has the support of Facebook, Amazon Web Services, and especially Google. Since 2006, Google has chosen the Python language to develop many of its applications and platforms.<\/p>\n<h3>4.\u00a0Hundreds of Python libraries and frameworks<\/h3>\n<p>Due to its large sponsors and active community, Python has a diverse and unique library that saves programmers time. Many cloud multimedia services support Python programmers across different platforms through library tools.<\/p>\n<h3>5. Adaptability, efficiency, reliability, and speed<\/h3>\n<p>Python can be used in a variety of environments, including mobile and Desktop applications, web Development, and hardware programming. Python&#8217;s versatility has made it the first choice of many programmers in various fields. Although Python-written applications run slightly faster than compiled languages \u200b\u200bsuch as C, Python application Development takes much less time and takes up less memory space.<\/p>\n<h3>6. Metadata, machine learning, and cloud computing<\/h3>\n<p>Python is the\u00a0most popular programming language\u00a0after\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/R_(programming_language)\" target=\"_blank\" rel=\"nofollow noopener\">R <\/a>\u00a0in the field of data science and analysis, because it is a very understandable language for many researchers who do not have a background in programming.\u00a0A large amount of data processing in companies is done only with Python.<\/p>\n<p>Most R&amp;D projects are also done in Python, as Python has many applications, including the ease of analyzing and organizing usable data.\u00a0In addition, hundreds of Python libraries are used in thousands of machine learning projects every day.<\/p>\n<p>Realizing the importance of Python, the\u00a0employment of Python programmers has dramatically increased through mastering the principles of data science.<\/p>\n<h3>7.\u00a0Python language flexibility<\/h3>\n<p>Python is so flexible that it allows the developer to try a different project each time. Python does not limit developers to developing specific applications and leaves them free to create any application. By the way, migrating from JavaScript to Python is very easy for people who want to go from front to back, although the two languages \u200b\u200bare different.<\/p>\n<h3>8.\u00a0Using Python in universities<\/h3>\n<p>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.<\/p>\n<h3>9.\u00a0Automation capability<\/h3>\n<p>The many tools and modules that Python provides to the developer make the process of automating repetitive and tedious tasks very easy and save time. Meanwhile, the number of lines of Python code for developing automation tools is so small that it amazes the programmer.<\/p>\n<h3>10.\u00a0Python is the language of startups<\/h3>\n<p>Easy to use, fast Development, and low costs make Python a good choice for small startups with limited budgets. With the increasing popularity of social media and the explosion of data on this platform, many startups active in the field of data analysis are moving to the Python language.<\/p>\n<h2><span style=\"font-size: 18pt;\">Python Frameworks<\/span><\/h2>\n<p>Python frameworks are a set of modules and packages that help programmers to accelerate Development. These frameworks automate standard processes and implementations, and save time, allowing the developer to focus solely on application logic and leave the execution of these standard processes to the framework.<\/p>\n<p>Python frameworks are generally divided into two categories:<\/p>\n<ul>\n<li><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\"><strong>Micro-frameworks<\/strong> are easy and convenient to use and suitable for developing small and medium applications.<\/span><\/li>\n<li><strong>The<\/strong> full-stack framework, which is more complex, provides wider libraries, is data-driven, and is used to develop a variety of applications.<\/li>\n<\/ul>\n<p>Developers need to have access to Python language frameworks to build applications. Here are five examples of the best and most popular Python frameworks:<\/p>\n<h3>1.\u00a0Django<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/django.jpg\" alt=\"Django\" width=\"750\" height=\"444\" \/><\/p>\n<p>Large companies use the Django framework to save time and reduce Coding in developing web applications. Django is a full-stack framework and is hugely popular because it is free and open source.<\/p>\n<p>Django is so popular that if you go to a Python developer, wake him up, threaten him with a gun, and ask him to design an app for you, do not doubt that he will automatically go to Django.<\/p>\n<p>This framework includes all the necessary features by default, but its main emphasis is on the principle of &#8220;avoidance of duplication&#8221;. Developers save time developing their projects with the help of\u00a0Object-Relational Mapping,\u00a0available in the Django framework.<\/p>\n<p>Large companies and organizations that use the Django framework to build applications include:<\/p>\n<ul>\n<li>NASA<\/li>\n<li>Instagram<\/li>\n<li>UDEMI<\/li>\n<li>Youtube<\/li>\n<li>Washington Post<\/li>\n<\/ul>\n<h3>2 .\u00a0Flask<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/flask.jpg\" alt=\"Flask\" width=\"750\" height=\"346\" \/><\/p>\n<p>Philosophy falls into the category of micro-frameworks, meaning that it focuses on the basics and leaves the rest to the developer. The Philosophy framework is an excellent choice for people who know exactly what they want and want to get their hands on when designing open web applications. This framework is also a good choice for medium to large-scale emergency projects. In cases where Django does not meet your needs for web project Development, you can turn to philosophy.<\/p>\n<p>Famous brands that use Philosophy include:<\/p>\n<ul>\n<li>Netflix<\/li>\n<li>Elevator (Lyft)<\/li>\n<li>Airbnb<\/li>\n<li>Reddit<\/li>\n<li>Mailgun \u200c<\/li>\n<\/ul>\n<h3>3.\u00a0Bottle<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/bottle.jpg\" alt=\"Bottle\" width=\"750\" height=\"270\" \/><\/p>\n<p>If you think that Philosophy does not leave you free enough to design the application you want, go to\u00a0Butel. The Battleframe framework is a good choice for developing minimal applications (for example, less than 500 lines of code) that do not require special features. Because Butel is a micro-framework, it only depends on the Python standard library.<\/p>\n<p>Of course, keep in mind that in practice, using the Butel framework may interfere with your work; If you needed to add a special feature to the app in the middle of the project, you would be in trouble, because Butel puts all the code in a single File. The Battlefront framework is not suitable for developing large applications.<\/p>\n<h3>4.\u00a0CherryPy<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/cherrypy.jpg\" alt=\"CherryPy\" width=\"750\" height=\"555\" \/><\/p>\n<p>Cherypay is an open-source Python\u00a0microframework. Its minimal design is suitable for building web applications that can run on a variety of platforms, including Windows, Mac OS, Linux, and any other operating System that supports Python.<\/p>\n<p>Chrysanthemum is a good choice for startups, as it has few limitations. This framework uses all kinds of technology for formatting, data access, etc., and can easily handle sessions, statistics, cookies, File uploads, and the like. The Chiropai Association supports both beginners and professional developers.<\/p>\n<h3>5.\u00a0Web2Py<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/web2py.jpg\" alt=\"Web2Py\" width=\"750\" height=\"495\" \/><\/p>\n<p>Web2Py is a full-stack framework and is a good choice for developers and data scientists because of its data management capabilities.\u00a0This framework is mainly used for projects related to data collection and analysis.<\/p>\n<h2><span style=\"font-size: 18pt;\">Python Libraries<\/span><\/h2>\n<p>The main difference between a framework and a library is their &#8220;complexity&#8221;, which is less common in libraries.\u00a0A library is a set of packages that execute specific operations, while the framework contains the application architecture.<\/p>\n<p>When a developer calls a method from the library, they are in control of the Development process. Still, in the case of frameworks, process control is in the hands of the framework, not the developer. However, frameworks are used more than libraries because they are more flexible and provide tools to help the user expand their features. Here are five of Python&#8217;s most popular libraries<\/p>\n<h3>1.\u00a0TensorFlow<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/tensorflow.jpg\" alt=\"TensorFlow\" width=\"750\" height=\"402\" \/><\/p>\n<p>TensorFlow is an open-source library suitable for neural Network projects, computational graphs, and machine learning applications. Google created this library in collaboration with the Brain Team Artificial Intelligence Research Team; For this reason, the library is present in almost all Google machine learning applications.<\/p>\n<h3>2. Scikit-Learn<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/scikit-learn.jpg\" alt=\"Scikit-Learn\" width=\"750\" height=\"349\" \/><\/p>\n<p>This library is also for Python applications that focus on machine learning and is an ideal option for verifying models monitored by unseen data.\u00a0Scikit-Learn\u00a0also offers an efficient approach to clustering, factor analysis, and principal component analysis for unsupervised neural networks, and is a good choice in the field of image processing, such as extracting features from images and text.<\/p>\n<h3>3.\u00a0Numpy<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/numpy.jpg\" alt=\"Numpy\" width=\"750\" height=\"601\" \/><\/p>\n<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/NumPy\" target=\"_blank\" rel=\"noopener\">Numpy<\/a>\u00a0is a library that other libraries, such as TensorFlow, use as their internal library to perform multiple operations.\u00a0Because Python deals with applications in the field of data, Numpy helps developers a lot with its sophisticated capabilities.<\/p>\n<p>The main advantage of interactive capabilities is their ease of use.\u00a0This library simplifies complex mathematical implementations.\u00a0If 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 in this direction.<\/p>\n<h3>4.\u00a0Keras<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/keras.jpg\" alt=\"Keras\" width=\"750\" height=\"348\" \/><\/p>\n<p>Keras\u00a0is Python&#8217;s machine learning library, providing a fluid mechanism for developing neural networks.\u00a0Cress also offers the best applications for model compilation, data set processing, diagram illustration, and more.<\/p>\n<p>This library is used to develop Python-based backend applications. Uber, Netflix, and Instacart, for example, use this library. In addition, machine learning startups at the core of their product design have a special look at this library.<\/p>\n<h3>5.\u00a0PyTorch<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/pytorch.jpeg\" alt=\"PyTorch\" width=\"750\" height=\"327\" \/><\/p>\n<p>PyTorch is one of the largest machine learning libraries that allows developers to perform tensor calculations and perform well in the field of neural networks. If you are interested in Natural Language Processing (NLP), the PyTorch Library is an excellent choice for your projects.<\/p>\n<p>Facebook developed the library in its artificial intelligence research group, and Uber uses it in the backend of Pyro programming software. PayTorch has grown in popularity since its inception and has attracted the attention of a growing number of machine learning developers.<\/p>\n<h2><span style=\"font-size: 18pt;\">What projects can be developed with Python?<\/span><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/python-applications.jpg\" alt=\"What projects can be developed with Python?\" width=\"750\" height=\"321\" \/><\/p>\n<p>Learning the basics of Python is one side of the issue, but what can be done with this skill now is another story and may be challenging for some.\u00a0Here are 15 interesting and practical projects that can be developed with Python, which are good options to start: \u200c<\/p>\n<h3>1. Organize files in the System<\/h3>\n<p>Python can be easily used to organize files on the System automatically. Operations such as renaming, copying, and moving hundreds of files can be done in just a few seconds by writing a piece of Python code. For example, the free and open-source software Beets, which is dedicated to organizing music files, uses Python and allows the user to manipulate the code and even write a plugin.<\/p>\n<h3>2. Cataloging<\/h3>\n<p>Using Python, you can save a list of your favorite websites on the Python Command line instead of bookmarking your favorite websites and having trouble moving them from one browser to another. For example,\u00a0buku\u00a0bookmark management is\u00a0written in Python 3. In addition to managing the list of favorite websites, it can auto-tag, fix broken links, search the database, and even lock and encrypt your directories.<\/p>\n<p>This program is an open-source project, and if you have an idea and do not know what to do with it, you can add it as a new feature to this project so that other users can use it.<\/p>\n<h3>3.\u00a0Build a resume on a static website<\/h3>\n<p>Written in Python,\u00a0Pelican for building static websites and is an excellent option for building clean yet interactive resumes. In Pelican, you can access Python code and change it to your liking as much as you want.<\/p>\n<h3>4.\u00a0Build dynamic websites<\/h3>\n<p>Python web frameworks such as Django and Flask will help you build dynamic websites with a lot of capabilities. Instagram, for example, uses Django, and Pinterest, and both can manage high-resolution images, complex user interactions, and responsive web design elements, and use Python in the backend.<\/p>\n<h3>5.\u00a0Data illustration<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/data-visualization-1-1.jpg\" alt=\"Data illustration\" width=\"750\" height=\"422\" \/><\/p>\n<p>Python libraries offer a large set of tools for data visualization to make it easier to analyze data using charts and maps.\u00a0With the\u00a0Python-based\u00a0Seaborn and\u00a0Matplotlib illustration libraries, you can easily graph and map your data, and use libraries like Bokeh\u00a0to add more interactivity.<\/p>\n<h3>6. Building a Neural Network<\/h3>\n<p>Companies like Uber use neural networks to connect passengers and drivers and even improve the quality of food and restaurant offerings. The Python language is also at the center of these activities.<br \/>\nAccording to Uber, Pytorch&#8217;s library for deep learning is a steady step in the Development of the company&#8217;s algorithms.<\/p>\n<p>Python provides libraries such as Tensorflow and Cress for deep learning projects.\u00a0By 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.<\/p>\n<h3>7. Build a bidding engine<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/sentiment-analysis-1.jpg\" alt=\"Build a bidding engine\" width=\"750\" height=\"422\" \/><\/p>\n<p>Another widespread use of machine learning is in search engines. Python libraries such as NumPy and Scikit-Learn provide the user with a wide range of tools to create a platform for product offerings, such as in online stores. For example, Spotify and Netflix use this data stack and combine it with large data frameworks such as Apache Hadoop\u00a0to analyze data and suggest their favorite music and movies to users.<\/p>\n<h3>8.\u00a0Analyze user feedback<\/h3>\n<p>Sentiment Analysis helps businesses make important decisions, and the Python data science stack, its natural language toolbox (nltk), and its combination with simple, supervised learning algorithms can quickly capture comments, tweets, or any feedback from the user side.<\/p>\n<h3>9.\u00a0Collect data from websites<\/h3>\n<p>Of course, many of the projects mentioned so far are not possible without data collection. <span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\">With the help of Python and libraries and frameworks such as\u00a0Selenium,\u00a0Scrapy,\u00a0and\u00a0BeautifulSoup, you can easily extract information from various websites.<\/span><br \/>\nIn addition, Python integrates easily with existing APIs and helps extract structured data quickly and efficiently from websites.<\/p>\n<h3>10.\u00a0Build mobile applications<\/h3>\n<p>More than 45% of the world&#8217;s population uses smartphones, which is why the mobile app market is always hot. With the help of the\u00a0Kivy Python\u00a0framework,\u00a0you can develop applications that can run on different operating systems.\u00a0Dropbox, for example, used Python to build its mobile app, which runs on Windows, macOS, and some Linux distributions without any problems.<\/p>\n<h3>11. Ramzarz Exchange<\/h3>\n<p>With the help of Python, it is possible to 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 cryptocurrencies by combining machine learning algorithms in this bot. Even if you are not interested in entering the field of cryptocurrency trading, your bot can have a high price in the market.<\/p>\n<h3>12. Build social media bots<\/h3>\n<p>With the help of Python, bots can be created to carry out a large number of your online activities on social networks. With libraries like\u00a0Tweepy\u00a0and\u00a0InstaPy, you can\u00a0connect directly to social networking services or write a bot code and connect it to the API, just like those provided by YouTube, Reddit, or Discord.<\/p>\n<h3>13.\u00a0Making chats<\/h3>\n<p>Python makes it possible to build complex chats by integrating NLTK with machine learning libraries. Libraries can even help PyAudio\u00a0and\u00a0Speechrecognition, and add a speech-to-text feature, and add sound to your Chtbat.<\/p>\n<h3>14. IoT connection<\/h3>\n<p>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. MicroPython, for example, is\u00a0an open-source project that simplifies programming for microcontrollers.\u00a0You can even use Python\u00a0to set up your\u00a0firewall or\u00a0irrigation System.<\/p>\n<h3>15. Use the capabilities of other languages<\/h3>\n<p>Sometimes the project you have in mind can not be entirely written with Python. In this case, you do not need to abandon Python and move on to other languages completely; Rather, Python&#8217;s flexibility allows you to use their capabilities in your Python project with the help of special Python extension modules wherever you need to use another language, such as C or C++.<\/p>\n<h2><span style=\"font-size: 18pt;\">What companies use Python?<\/span><\/h2>\n<p>Many of the world&#8217;s largest and most successful technology companies and organizations use Python to develop their web backends or data analytics. Here are some of them: \u200c<\/p>\n<h3>Instagram<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/instagram.jpg\" alt=\"Instagram\" width=\"750\" height=\"450\" \/><\/p>\n<p>Instagram, the world&#8217;s largest photo-sharing app with nearly 400 million daily active users, uses the Django framework for its backends, citing Python simplicity and popularity.<\/p>\n<h3>Google<img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/google.jpg\" alt=\"Google\" width=\"750\" height=\"391\" \/><\/h3>\n<p>With a 75% market share, Google is the most used search engine in the world. Google has been a fan of Python from the beginning, and its founders decided to &#8220;use Python wherever possible and C++ wherever necessary.&#8221;<\/p>\n<p>Easy to use Python. It&#8217;s enough that Google&#8217;s first web crawler, written in Java, was later rewritten in Python to make it easier to use.<\/p>\n<h3>Spotify<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/spotify.jpg\" alt=\"Spotify\" width=\"750\" height=\"630\" \/><\/p>\n<p>Spotify, a music, podcast, and video platform, was launched in 2008 and has more than 75 million members to date. While the Spotify website uses WordPress, its application is built with Python.<\/p>\n<p>Eighty percent of Spotify services are Python-based, and the rest are based on other languages such as Java, C++ + and C++. Spotify uses Python for data analysis and backend services.<\/p>\n<h3>Netflix<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/netflix.jpg\" alt=\"Netflix\" width=\"750\" height=\"544\" \/><\/p>\n<p>With over 33 million members in 40 countries, Netflix is \u200b\u200bthe largest Internet television Network in the world. Netflix, like Spotify, uses Python to analyze data. In addition, it allows its software engineers to code in any language they are comfortable with, and most Netflix programmers prefer Python.<\/p>\n<p>According to Netflix engineers, the Python Standard Library, its highly active and growing community, and the wide variety of libraries available, make it possible for developers to solve any Problem.<\/p>\n<h3>Reddit<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/reddit.jpg\" alt=\"Reddit\" width=\"750\" height=\"627\" \/><\/p>\n<p>The Reddit website has 50 million daily active users and is the eighth most-visited website in the world. Reddit initially used Lisp, but was rewritten with Python six months after its release. The reason for this change was Python&#8217;s access to more diverse libraries and its flexibility in Development. When hiring a programmer, Reddit tells them that whatever they write should be in Python so that it is easier to read, and it is easy to see if the code they wrote is good or bad.<\/p>\n<p>The Python language is very popular among large companies and organizations. Other examples of well-known companies that use Python include:<\/p>\n<ul>\n<li>Facebook<\/li>\n<li>NASA<\/li>\n<li>Cora<\/li>\n<li>Pinterest<\/li>\n<li>Youtube<\/li>\n<li>Dropbox<\/li>\n<li>Amazon<\/li>\n<li>Uber<\/li>\n<li>Elevator<\/li>\n<li>CIA<\/li>\n<li>PayPal<\/li>\n<li>Nokia<\/li>\n<li>IPM<\/li>\n<\/ul>\n<h2>Install Python<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/python-logo-1.jpg\" alt=\"Install Python\" width=\"712\" height=\"332\" \/><\/p>\n<p>Python can be installed on Windows, Linux, Mac OS, and specific platforms such as IBM AS \/ 400, iOS, Solaris, etc., and there are several ways to install it.<\/p>\n<p>The easiest way to add different capabilities to Pure Python, especially for data scientists, is to download it from the\u00a0Anaconda site.<\/p>\n<p>The package you download from this site includes Pure Python, Essential Libraries for Scientists and Machine Learning (such as NumPy, SciPy, and Pandas), as well as two Coding tools: Spyder and Jupyter Notebook.<\/p>\n<p>Installing this package is also very easy, and select your operating System and click on download.<\/p>\n<p>You can\u00a0also download\u00a0Python from its\u00a0official website. Just be careful when installing, click on &#8220;Add Python 3.x to PATH&#8221;.<\/p>\n<p>If you have no background in Python and want to start learning from scratch, it usually takes three months to understand it. But if you plan to use Python in data science (for example, for data analysis or machine learning), knowing it takes less time, because for data science, you only need to use a specific language and understand its basics.<\/p>\n<p>It does not take more than one to two months.\u00a0According to\u00a0365\u00a0<span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\">Data Science<\/span>, if you spend 5 hours a day learning Python, you can learn the basics of data science analysis in Python within a month.<\/p>\n<h2><span style=\"font-size: 18pt;\">The future of Python<\/span><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"img-responsive aligncenter\" src=\"https:\/\/ded9.com\/wp-content\/uploads\/2025\/02\/python-art-1.jpg\" alt=\"The future of Python\" width=\"750\" height=\"422\" \/><\/p>\n<p>Starting modestly as a small project for the Christmas holidays, Python has gone through a long and tumultuous journey to become one of the world&#8217;s most popular programming languages.<\/p>\n<p>Many of the key principles that led to the birth of Python, including simplicity and ease of understanding, still hold true to this language and define its future Development path.<\/p>\n<p class=\"pullquote rarticle\">Python has taken over the field of data science, but its presence in smartphones is low.<\/p>\n<p>Although Python is becoming more and more popular and has practically taken over the field of data science, there are challenges ahead. For example, the presence of Python in smartphones, which are more common these days than computers, or multi-core processors, is minimal.<\/p>\n<p>In addition, Python has a broader range of users because it is &#8220;sticky&#8221;, and programmers are pushing the boundaries of the language every day with their creativity and innovation. Many people think that Python is only used for backends, but the capabilities of this language are much more than that.<\/p>\n<p>In the words of its creator, Khido van Rossum, &#8220;Python is an experiment in determining the degree of freedom required by programmers.\u00a0If it exceeds its limit, no one can read another person&#8217;s code.\u00a0&#8220;Even if it is too small, the ability to express an idea is compromised.&#8221;<\/p>\n<h2>FAQ<\/h2>\n<div id=\"rank-math-rich-snippet-wrapper\"><div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-1\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What makes Python suitable for everyone<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Python features simple syntax, readability, and wide applicability, making it accessible for beginners and experienced developers alike.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-2\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What core topics are covered in this introduction<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>The article likely explains Python basics, language features, and why it is widely used across industries.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-3\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Who should read this Python guide<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Beginners and programmers seeking an easy-to-understand explanation of Python\u2019s purpose and benefits.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>There is no doubt that Python is one of the most popular programming languages in the world and has become one of the top 3 programming languages for developers in the last ten years. According to a 2020\u00a0Stack Overflow survey, more than 40% of developers are currently\u00a0working\u00a0with\u00a0Python, and another 30% are eager to learn the [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":3357,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[316],"tags":[2240,2241],"class_list":["post-3356","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-django","tag-flask"],"acf":[],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/posts\/3356","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/comments?post=3356"}],"version-history":[{"count":8,"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/posts\/3356\/revisions"}],"predecessor-version":[{"id":266349,"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/posts\/3356\/revisions\/266349"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/media\/3357"}],"wp:attachment":[{"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/media?parent=3356"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/categories?post=3356"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ded9.com\/de\/wp-json\/wp\/v2\/tags?post=3356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}