Data suggests that rise is only expected to increase, given that among those learning to code, 71.8% of respondents said they had used Python in the last year. That makes Python one of the most popular programming languages in the world right now, especially with the AI wave \u2014 57.7% of respondents who worked with AI had used Python in the last year.<\/p>\n\n\n\n
The TIOBE Index<\/a> has consistently listed Python as the most popular programming language, too. Python has been listed in TIOBE\u2019s Programming Language Hall of Fame six times over the past 21 years, the most entries of any language.<\/p>\n\n\n\n Let\u2019s explore what Python is, its history, why it’s so popular, the advantages it offers, and the frameworks that it works well with. We\u2019ll also take a look at popular use cases and what makes Python such a natural choice for those applications.<\/p>\n\n\n\n The history of Python<\/a> is an interesting one. It started as a side project for its creator, Guido van Rossum. First released in February of 1991, Guido reportedly named the language after sketch comedy show Monty Python\u2019s Flying Circus.<\/p>\n\n\n\n Over the course of the 90s, van Rossum set out four clear goals for Python:<\/p>\n\n\n\n It\u2019s safe to say that he achieved those goals successfully. Today, Python is used in projects of every possible variety, from data analysis and AI development to web scraping and web automation \u2014 even video games like Eve Online, which had more than 100,000 players logging on every day.<\/p>\n\n\n\n Python is considered one of the fastest growing languages in the world. Today, it\u2019s mainly used for building automation and \u2014 with today\u2019s AI hype \u2014 Python is helping lay the foundation on which AI is being built.<\/p>\n\n\n\n The fact Python\u2019s easy to use is a big reason why developers and newcomers are choosing to learn it, but it\u2019s only one of several reasons:<\/p>\n\n\n\n As is often the case, some of Python\u2019s greatest advantages are also the source of some of its disadvantages. Let\u2019s dive into some of the trade-offs that come with using Python.<\/p>\n\n\n\n Like any programming language, there are pros and cons to Python. It\u2019s up to each developer to choose a language, whether that choice is based on preference, the project and its scale, personal skillsets, community support, or any combination of these factors.<\/p>\n\n\n\n As we discussed, Python is a very easy language to start learning, regardless of your initial level of knowledge. As a result, people have used it to do all sorts of things in the last 20 years \u2014 there are hundreds of thousands of Python frameworks. It\u2019s so accessible that both technical and non-technical people can and have used it to do everything from web automation to managing artificial intelligence \u2014 some have even used it to make a basketball hoop catch a ball<\/a> no matter how bad your aim is. Let\u2019s explore Python\u2019s wide variety of use cases.<\/p>\n\n\n\n With the current wave of interest and investment into LLMs, Python has emerged as the main language for interacting with AI (most companies I have worked with have used Python for AI). It’s easy to use and learn, and the number of AI-related frameworks keeps growing.<\/p>\n\n\n\n Let\u2019s use just one example: Python is the<\/em> language of choice for anything related to computer vision<\/a>, the field of computer science dedicated to teaching AI to interpret and understand images and videos. On top of that, Python is the primary language to build and train GenAI chatbots (GPT, LLama, Claude, Gemini, Deepseek, and more).<\/p>\n\n\n\n Data analysis has been around for a long time, but never has the need for data been greater for so many people with such a wide range of technical knowledge. Everyone from dedicated data analysis experts at a multibillion-dollar multinational to the teenager doing dropshipping on the weekends \u2014 and everyone in between \u2014 has data that they want to analyze.<\/p>\n\n\n\n Everyone uses Python for data analysis for a few straightforward reasons, but we\u2019ll break down just one: Python has mature, dedicated libraries to handle every aspect of the data analysis process, from pandas<\/a> and NumPy<\/a> for aggregating and cleaning data at the start of the process and something like PyTorch doing predictive analysis at the end of the process.<\/p>\n\n\n\n Server-side development is Python\u2019s bread and butter. Frameworks like Django or Flask are great at handling logic; dealing with databases; and managing content, security and URL routing.<\/p>\n\n\n\n The community is a strong reason Python\u2019s so popular for server-side development. There are lots of resources available, lots of people who have tackled similar problems, and lots of ways to learn how to tackle problems you may encounter.<\/p>\n\n\n\n It\u2019s so versatile that Python for development has the added bonus of being able to tackle such a wide variety of problems without needing to switch to a different programming language. In the event you do need to switch languages, Python works well with others, too.<\/p>\n\n\n\n Python is such a great tool for automating repetitive tasks. By repetitive task I mean something you do every day with the same steps every time. Python excels at automation, as long as the steps are clear and achievable \u2014 especially now with AI tools.<\/p>\n\n\n\n AI tools like activepieces<\/a> and zapier<\/a> can help you automate things even if you\u2019re not technical at all, which is great for marketers and salespeople. It\u2019s easily readable at a glance, and there are lots of libraries available.<\/p>\n\n\n\n Python plays a major role in a whole range of internet of things (IoT) technologies. Once again, it\u2019s because Python\u2019s easy to use, easy to read, and because it has a long list of libraries that support IoT applications.<\/p>\n\n\n\n![\"The](\"https:\/\/proxidize.com\/wp-content\/uploads\/2025\/09\/history_of_python-img-1024x536.jpg\")
<\/figure>\n\n\n\nBrief History and Origin of Python<\/h2>\n\n\n\n
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![\"The](\"https:\/\/proxidize.com\/wp-content\/uploads\/2025\/09\/python_pros_cons-img-1024x536.jpg\")
<\/figure>\n\n\n\nPython Pros and Cons<\/h2>\n\n\n\n
Advantages of Python<\/h3>\n\n\n\n
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Disadvantages of Python<\/h3>\n\n\n\n
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![\"A](\"https:\/\/proxidize.com\/wp-content\/uploads\/2025\/09\/what_is_python_used_for-img-1024x536.jpg\")
<\/figure>\n\n\n\nWhat Is Python Used For?<\/h2>\n\n\n\n
Python for AI<\/h3>\n\n\n\n
Python for Data Analysis<\/h3>\n\n\n\n
Python for Development<\/h3>\n\n\n\n
Python for Automation<\/h3>\n\n\n\n
Python for Internet of Things<\/h3>\n\n\n\n