{"id":177776,"date":"2024-02-08T16:22:05","date_gmt":"2024-02-08T15:22:05","guid":{"rendered":"https:\/\/liora.io\/en\/?p=177776"},"modified":"2026-02-06T08:31:00","modified_gmt":"2026-02-06T07:31:00","slug":"python-the-most-popular-language","status":"publish","type":"post","link":"https:\/\/liora.io\/en\/python-the-most-popular-language","title":{"rendered":"Python ? : The most popular language"},"content":{"rendered":"<p><strong>Python is the most popular and widely used computer programming language, particularly in the fields of Data Science and Machine Learning. What&#8217;s more, Python is a cross-platform language that runs on a variety of operating systems, such as Windows, macOS and Linux, making it an ideal choice for developers working on different environments. Find out all you need to know about the Python language: origins, usage, tools, advantages, disadvantages, training.<\/strong><\/p>\n<h3>What is the Python language?<\/h3>\n<figure>\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/liora.io\/app\/uploads\/2023\/04\/DALL\u00b7E-2024-01-19-12.37.33-A-semi-cartoonish-python-snake-in-a-library-balancing-between-realistic-and-cartoon-styles.-The-python-with-a-gentle-and-friendly-appearance-is-coi.png\" title=\"\" alt=\"Un serpent python semi-dessin anim\u00e9 dans une biblioth\u00e8que, lisant attentivement un livre sur la programmation et la technologie, dans un cadre chaleureux et invitant.\" loading=\"lazy\"><figcaption><\/figcaption><\/figure>\nPython is a general-purpose computer programming language. Unlike HTML, CSS or JavaScript, its use is not limited to web development. It can be used for all types of programming and software development.\n\nIn particular, it is used for the back-end development of web and mobile applications, and for the development of PC software and applications. It can also be used to write system scripts, to create instructions for a computer system.\n\nPython is also the most popular computer language for Big Data processing, mathematical calculations and Machine Learning. Generally speaking, it is the language of choice for Data Science.\n<h3>Who invented the Python language?<\/h3>\nThe <a href=\"https:\/\/liora.io\/en\/variable-types-in-python-how-about-clarifying-the-dynamics\">Python language<\/a> was created in 1989 by Guido van Rossum, a Dutch computer scientist. He originally developed Python to improve the ABC programming language, which was used mainly for educational purposes.\n\nGuido van Rossum&#8217;s aim was to create a programming language that was easy to read, write and maintain, yet powerful and flexible. He named his new programming language &#8220;Python&#8221; after the British comedy troupe Monty Python, whom he admired.\n\n<strong>Python<\/strong> has grown exponentially in popularity since its creation and has become the programming language of choice for many companies and projects, particularly in the fields of data science, artificial intelligence and web development. Today, Python is an open source programming language supported by a large community of developers worldwide.\n\n?Related articles:\n<table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\">\n<colgroup>\n<col width=\"656\"><\/colgroup>\n<tbody>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Folium: Discover the open source Python library &quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/folium-discover-the-open-source-python-library\"><a href=\"https:\/\/liora.io\/en\/folium-discover-the-open-source-python-library\" target=\"_blank\" rel=\"noopener\">Folium: Discover the open source Python library <\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Matplotlib: Master Data Visualization in Python &quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/matplotlib-master-data-visualization-in-python\"><a href=\"https:\/\/liora.io\/en\/matplotlib-master-data-visualization-in-python\" target=\"_blank\" rel=\"noopener\">Matplotlib: Master Data Visualization in Python <\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Crash Course: Get started &quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/python-all-you-need-to-know\"><a href=\"https:\/\/liora.io\/en\/python-all-you-need-to-know\" target=\"_blank\" rel=\"noopener\">Python Crash Course: Get started <\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mastering Machine Learning in Python: Data-Driven Success &quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/machine-learning-python-where-to-start\"><a href=\"https:\/\/liora.io\/en\/machine-learning-python-where-to-start\" target=\"_blank\" rel=\"noopener\">Mastering Machine Learning in Python: Data-Driven Success <\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<iframe title=\"The Story of Python, by Its Creator, Guido van Rossum\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/J0Aq44Pze-w?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>\n<a href=\"\/en\/courses\/data-ai\/\" target=\"_blank\" rel=\"noopener\">\nLearning Python for data science\n<\/a>\n\nOne of Python&#8217;s main applications is scripting and automation. This language can replace shell scripts, for example, but can also be used to automate interactions with web browsers or application GUIs. Here are some of the other main uses of the Python language:\n<ul>\n \t<li>It can also be used for system provisioning and configuration through tools such as Ansible or Salt. However, these are far from its only applications.<\/li>\n \t<li>Another is application programming. All kinds of applications can be created using this language. Although it doesn&#8217;t allow you to generate standard binaries from a script, third-party packages such as cx Freeze and PyInstaller compensate for this weakness.<\/li>\n \t<li>Python is also the most widely used language for Data Science and Machine Learning. The vast majority of libraries used for these two data analysis disciplines have Python interfaces. This explains its popularity as a high-level command interface for Machine Learning libraries and other numerical algorithms.<\/li>\n \t<li>The language is also used to create Web services and <a href=\"https:\/\/liora.io\/en\/api-rest-what-is-it-whats-it-for\">RESTful APIs<\/a>. Its various native libraries and third-party web frameworks make it possible to program data-driven websites with just a few lines of code.<\/li>\n \t<li>Another use case is metaprogramming and code generation. Every element of this language is an object, including modules and libraries. This makes Python a highly efficient code generator.<\/li>\n \t<li>You can write applications that handle their own functions, much more extensible than with other languages. It can also be used to drive code generation systems like <strong>LLVM to create code in other languages.<\/strong><\/li>\n<\/ul>\n<iframe title=\"What Can You Do with Python? - The 3 Main Applications\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/kLZuut1fYzQ?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>\n<h3>Who uses Python?<\/h3>\n<figure>\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/liora.io\/app\/uploads\/2023\/04\/DALL\u00b7E-2024-01-19-12.28.48-At-the-center-of-the-image-is-a-large-prominently-displayed-Python-programming-language-logo.-Surrounding-the-logo-are-cartoon-illustrations-of-diver.png\" title=\"\" alt=\"Logo de Python au centre, entour\u00e9 d'illustrations de professionnels divers utilisant Python : d\u00e9veloppeur, scientifique, designer web, analyste de donn\u00e9es et \u00e9tudiants.\" loading=\"lazy\">\n\n<figcaption><\/figcaption><\/figure>\nPython is increasingly used in programming, for two main reasons. Firstly, as mentioned above, it is one of the most versatile and general-purpose languages.\n\nWhat&#8217;s more, despite its versatility, Python remains one of the easiest programming languages to learn. This is because its syntax is very close to that of everyday English. This makes it easy for beginners to understand and start learning.\n\nDespite its simplicity, Python can be used for the most complex projects. It is used, for example, in the fields of AI and <a href=\"https:\/\/liora.io\/en\/tpot-all-about-this-machine-learning-python-library\">Machine Learning.<\/a>\n\nAs a result, this language is used by a wide variety of profiles. Examples include novice programmers, web and mobile application developers, software engineers, data scientists and other data professionals.\n\n<a href=\"\/en\/courses\/data-ai\/\" target=\"_blank\" rel=\"noopener\">\nLearn to use Python\n<\/a>\n<h3>What are the advantages of Python?<\/h3>\nThe <strong>Python language<\/strong> has many strong points. Its minimalism means it takes very little time to get started. Its syntax is designed to be readable and straightforward. Beginners can learn to master it easily. As a result, developers spend more time trying to solve problems than dwelling on language complexities.\n\n?Related articles:\n<table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\">\n<colgroup>\n<col width=\"656\"><\/colgroup>\n<tbody>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Programming for Beginners - Episode 3&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/python-programming-for-beginners-episode-3\"><a href=\"https:\/\/liora.io\/en\/python-programming-for-beginners-episode-3\" target=\"_blank\" rel=\"noopener\">Python Programming for Beginners &#8211; Episode 3<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Django: All about the Python web development framework&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/django-all-about-the-python-web-development-framework\"><a href=\"https:\/\/liora.io\/en\/django-all-about-the-python-web-development-framework\" target=\"_blank\" rel=\"noopener\">Django: All about the Python web development framework<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;NumPy : the most used Python library in Data Science&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/numpy-the-python-library-in-data-science\"><a href=\"https:\/\/liora.io\/en\/numpy-the-python-library-in-data-science\" target=\"_blank\" rel=\"noopener\">NumPy : the most used Python library in Data Science<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SciPy: All about the Python Machine Learning library&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/scipy-all-about-the-python-machine-learning-library\"><a href=\"https:\/\/liora.io\/en\/scipy-all-about-the-python-machine-learning-library\" target=\"_blank\" rel=\"noopener\">SciPy: All about the Python Machine Learning library<\/a><\/td>\n<\/tr>\n<tr>\n<td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;PyCharm: all about the most popular Python IDE&quot;}\" data-sheets-hyperlink=\"https:\/\/liora.io\/en\/pycharm-all-about-the-most-popular-python-ide\"><a href=\"https:\/\/liora.io\/en\/pycharm-all-about-the-most-popular-python-ide\" target=\"_blank\" rel=\"noopener\">PyCharm: all about the most popular Python IDE<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\nAnother advantage is Python&#8217;s popularity. Widely used, this language is supported by most OSes, and there are a vast number of <a href=\"https:\/\/liora.io\/en\/gensim-the-python-library-for-topic-modelling\">compatible libraries and service APIs.<\/a>\n\nDespite its ease of use, this language can be used for scripting and automation as well as for professional software development. It is therefore extremely versatile.\n\nWhat&#8217;s more, each update of the <strong>Python language<\/strong> adds useful new features to keep it in line with modern development practices. As a result, it never becomes obsolete.\n\n<iframe title=\"Introduction - Learn Python for Data Science #1\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/T5pRlIbr6gg?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>\n<h3>What are the drawbacks of Python?<\/h3>\n<figure>\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/liora.io\/app\/uploads\/2023\/04\/DALL\u00b7E-2024-01-19-12.31.36-A-more-refined-illustration-with-a-semi-realistic-style-showing-a-character-thoughtfully-looking-at-the-Python-programming-language-logo.-Around-the-.png\" title=\"\" alt=\"Image semi-r\u00e9aliste d'un personnage r\u00e9fl\u00e9chissant devant le logo Python, entour\u00e9 de m\u00e9taphores visuelles des inconv\u00e9nients de Python : un escargot pour la vitesse d'ex\u00e9cution lente, un gros serveur pour la forte consommation de m\u00e9moire, un puzzle complexe pour la courbe d'apprentissage, et un c\u00e2ble effiloch\u00e9 pour les d\u00e9fis d'int\u00e9gration.\" loading=\"lazy\">\n\n<figcaption><\/figcaption><\/figure>\nDespite its many strengths, Python is not suitable for all tasks. It is a &#8220;high-level&#8221; language. It is therefore not suitable for system-level programming.\n\nNor is it ideal for situations requiring independent cross-platform binaries. A stand-alone application for Windows, macOS and Linux will not be easy to code in Python.\n\nFinally, Python is best avoided for situations where speed is an absolute priority for the application. <strong>Better to turn to C and C++<\/strong> or other languages of the same ilk.\n\nEvery function and module is treated as an object by Python. This simplifies the writing of high-level code, but reduces speed.\n\nThe dynamism and malleability of objects make optimization difficult, even after compilation. As a result, Python is <a href=\"https:\/\/liora.io\/en\/c-what-is-this-computer-language-for\">considerably slower than C\/C++<\/a> or Java. However, mathematical and statistical operations can be accelerated using libraries such as <a href=\"https:\/\/liora.io\/en\/numpy-the-python-library-in-data-science\">NumPy<\/a> and Pandas.\n\nPython also uses a lot of white space. This is sometimes seen as an advantage, but also as a disadvantage. Some people dismiss the language because of this point, but it actually makes the syntax more readable.\n\n<a href=\"\/en\/courses\/data-ai\/\" target=\"_blank\" rel=\"noopener\">\nPython training for Data Science\n<\/a>\n<h3>The differences between Python 2 and Python 3<\/h3>\nTwo different versions of Python are available. The older version, Python 2, continues to be widely used, even though it hasn&#8217;t received an official update since 2020.\n\nThe current version, Python 3, brings important and practical new features. These include new syntax features, better concurrency controls and a more efficient interpreter.\n\nAdoption of Python 3 has been slowed by a lack of compatibility with third-party libraries. Many of them are only supported by Python 2, making it difficult to make the transition. This problem has been resolved in recent years, and Python 3 is now the best choice for new projects.\n\n<iframe title=\"Why Python 3? Python 2 vs Python 3\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/oVp1vrfL_w4?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>\n<h3>What is a Python library?<\/h3>\n<strong>Python&#8217;s libraries<\/strong> are one of the main reasons for its success. It&#8217;s a vast ecosystem of software developed by third parties. This collection has been enriched and extended over the decades.\n\nSeveral standard libraries are available, offering modules adapted to the most common programming tasks: networking, asynchronous operations, threading, file access&#8230;\n\nSome modules can also handle the high-level programming tasks required by modern applications. These may include reading and writing structured file formats such as JSON and XML, manipulating compressed files, or working with web protocols and data formats.\n\nThe default <strong>Python distribution<\/strong> also offers a cross-platform GUI library with Tkinter, and an integrated copy of the SQLite 3 database.\n\nIn addition to these native libraries, thousands of third-party libraries are available via the Python Package Index (PyPI). It is these libraries that give the language its versatility. Python ?\n\n<a href=\"\/formation\/data-ia\/\" target=\"_blank\" rel=\"noopener\">\nD\u00e9couvrir les biblioth\u00e8ques Python\n<\/a>\n<h3>What Python libraries do I need to know?<\/h3>\nThere are many Python libraries that can be useful, depending on the field of application and specific needs. However, here are a few of the main Python libraries that are recommended to know:\n<ul>\n \t<li><a href=\"https:\/\/liora.io\/en\/numpy-the-python-library-in-data-science\"><strong>NumPy:<\/strong><\/a> a library for mathematical and numerical operations on arrays and matrices.<\/li>\n \t<li><a href=\"https:\/\/liora.io\/en\/pandas-the-python-library\"><strong>Pandas:<\/strong><\/a> a library for array data manipulation and analysis.<\/li>\n \t<li><a href=\"https:\/\/liora.io\/en\/matplotlib-master-data-visualization-in-python\"><strong>Matplotlib:<\/strong><\/a> a library for creating graphs and data visualizations.<\/li>\n \t<li><a href=\"https:\/\/liora.io\/en\/scikit-learn-discover-the-python-library-dedicated-to-machine-learning\"><strong>Scikit-learn:<\/strong><\/a> a library for machine learning and data mining.<\/li>\n \t<li><a href=\"https:\/\/liora.io\/en\/tensor-flow-all-about-googles-machine-learning-framework\"><strong>TensorFlow:<\/strong><\/a> a library for deep learning and neural network model development.<\/li>\n \t<li><a href=\"https:\/\/liora.io\/en\/pytorch-all-about-this-framework\"><strong>PyTorch:<\/strong><\/a> a library for deep learning and the creation of neural network models.\nBeautiful Soup: a library for parsing HTML and XML data.<\/li>\n \t<li><strong>Requests:<\/strong> a library for sending HTTP requests.<\/li>\n \t<li><strong><a href=\"https:\/\/liora.io\/en\/flask-one-of-the-most-popular-python-frameworks\">Flask and Django:<\/a><\/strong> frameworks for developing web services. These libraries are very popular and widely used in data science, machine learning, data analysis and web development.<\/li>\n<\/ul>\n<img decoding=\"async\" src=\"https:\/\/liora.io\/app\/uploads\/2021\/02\/pexels-christina-morillo-1181359-1-scaled.jpg\" title=\"\" alt=\"personne en train d'apprendre le langage Python sur son ordinateur portable gr\u00e2ce \u00e0 un livre\" loading=\"lazy\">\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex is-content-justification-center\"><div class=\"wp-block-button \"><a class=\"wp-block-button__link wp-element-button \" href=\"\/en\/courses\/data-ai\/\">Learn to use Python libraries<\/a><\/div><\/div>\n\n<h3>How do I learn Python? What are the best courses?<\/h3>\nTo learn how to use Python, Liora&#8217;s&nbsp; training courses will boost your knowledge. This programming language is at the heart of our various programs: Data Scientist, <a href=\"https:\/\/liora.io\/en\/become-a-data-engineer-the-must-have-skills\">Data Engineer<\/a>, Data Analyst&#8230;\n\nThrough these different courses, you&#8217;ll not only learn Python, but also all the skills required to work in the field of data science and exercise one of the Big Data professions. Python is the most widely used language for Data Science.\n\nAll our training courses adopt an innovative and original <strong>Blended Learning approach,<\/strong> combining face-to-face and distance learning. They can be completed in just a few weeks in intensive <strong>BootCamp mode, or in Continuing Education.<\/strong>\n\nDesigned by professionals, our programs meet the needs of companies and enable learners to enter the job market very quickly.\n\n<iframe title=\"Discover our Data Scientist training - DataScientest\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/kNPe_pgbuHg?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>\n<a href=\"\/en\/courses\/data-ai\/\" target=\"_blank\" rel=\"noopener\">\nDiscover our training courses\n<\/a>\n\nYou know all about the Python language. Discover other must-have Data Science resources, such as the GitHub code hosting service or the <a href=\"https:\/\/liora.io\/en\/docker-tutorial-how-to-create-your-first-container\">Docker containerization platform.<\/a>\n\n<!-- \n-->\n<!-- \n-->","protected":false},"excerpt":{"rendered":"<p>Python is the most popular and widely used computer programming language, particularly in the fields of Data Science and Machine Learning. What&#8217;s more, Python is a cross-platform language that runs on a variety of operating systems, such as Windows, macOS and Linux, making it an ideal choice for developers working on different environments. Find out [&hellip;]<\/p>\n","protected":false},"author":76,"featured_media":177777,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_acf_changed":false,"editor_notices":[],"footnotes":""},"categories":[2434],"class_list":["post-177776","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud-dev"],"acf":[],"_links":{"self":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/177776","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/users\/76"}],"replies":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/comments?post=177776"}],"version-history":[{"count":1,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/177776\/revisions"}],"predecessor-version":[{"id":206061,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/posts\/177776\/revisions\/206061"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media\/177777"}],"wp:attachment":[{"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/media?parent=177776"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/liora.io\/en\/wp-json\/wp\/v2\/categories?post=177776"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}