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Why Is Python So Popular In 2025 The Pycharm Blog

Leo Migdal
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why is python so popular in 2025 the pycharm blog

While other programming languages come and go, Python has stood the test of time and firmly established itself as a top choice for developers of all levels, from beginners to seasoned professionals. Whether you’re working on intelligent systems or data-driven workflows, Python has a pivotal role to play in how your software is built, scaled, and optimized. Many surveys, including our Developer Ecosystem Survey 2025, confirm Python’s continued popularity. The real question is why developers keep choosing it, and that’s what we’ll explore. Whether you’re choosing your first language or building production-scale services, this post will walk you through why Python remains a top choice for developers. In our Developer Ecosystem Survey 2025, Python ranks as the second most-used programming language in the last 12 months, with 57% of developers reporting that they use it.

This is a guest post from Michael Kennedy, the founder of Talk Python and a PSF Fellow. Welcome to the highlights, trends, and key actions from the eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team. The survey results provide a comprehensive look at Python usage statistics and popularity trends in 2025. My name is Michael Kennedy, and I’ve analyzed the more than 30,000 responses to the survey and pulled out the most significant trends and predictions, and identified various actions that you can take to... I am in a unique position as the host of the Talk Python to Me podcast.

Every week for the past 10 years, I’ve interviewed the people behind some of the most important libraries and language trends in the Python ecosystem. In this article, my goal is to use that larger community experience to understand the results of this important yearly survey. If your job or products and services depend on Python, or developers more broadly, you’ll want to read this article. It provides a lot of insight that is difficult to gain from other sources. Develop with Django? See how over 4,600 developers are using it today and get actionable ideas to implement in your projects right now.

At JetBrains, we love seeing the developer community grow and thrive. That’s why we support open-source projects that make a real difference — the ones that help developers learn, build, and create better software together. We’re proud to back open-source maintainers with free licenses and to contri… Compare Rust and Python across performance, usability, tooling, and ecosystem. Learn which language is best for your next project. Learn practical optimization hacks, from data structures to built-in modules, that boost speed, reduce overhead, and keep your Python code clean.

Learn why code optimization is important and how efficient Python code improves speed, scalability, and the user experience. Updated on Nov 06, 2025 | 18 min read | 108.52K+ views The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team. JetBrains’ Michael Kennedy (host of the Talk Python to Me podcast) says that the team analysed more than 30,000 responses to pull out the most significant trends and predictions.

As we explore these insights, having the right tools for your projects can make all the difference, so then… the team recommend trying PyCharm for free to stay equipped with everything needed for data... The author argues that Python’s staying power in 2025 comes down to three simple things: it’s everywhere in AI and data work, it reads like plain English, and it has a huge library and... They point to survey numbers showing broad use and note key tools like PyTorch, TensorFlow, pandas, and FastAPI that let people go from a quick experiment to production without switching languages. Why that matters: teams can prototype, train models, build APIs, and run data pipelines all in one language, which speeds development and cuts handoff problems. A quick example from the article: you can explore data in Jupyter, train a model with PyTorch, and then serve it with FastAPI — all in Python — so projects move faster and fewer... Nice roundup.

Factually: JetBrains’ piece leans on the Python Developers Survey and the State of Python analysis showing large-scale usage across data work, web, and ML (their blog and survey report summarize responses from ~30,000 developers). It also echoes other indicators from 2025 — Stack Overflow reports Python adoption rising year-over-year, and indexes like TIOBE put Python near or at historic highs. (https://blog.jetbrains.com/pycharm/2025/09/why-is-python-so-popular/?utm_source=openai) Three plausible directions that follow from those facts. First, Python’s role as the “glue” between prototyping, MLOps, and production is likely to solidify: mature ML libraries, notebooks, and simple deployment paths keep projects inside the Python stack longer, which feeds network effects... That’s mostly visible today in the survey numbers and ecosystem lists.

(https://blog.jetbrains.com/pycharm/2025/09/why-is-python-so-popular/?utm_source=openai) Second, the composition of the user base matters. The survey shows a lot of relatively new programmers adopting Python, which keeps the language culturally dominant (teaching, bootcamps, data-analysis workflows) but also means many codebases are written by less-experienced authors. That increases demand for better toolchains, linters, and managed services — and creates opportunity for tools that make production reliability and performance easier without throwing novice ergonomics away. (https://blog.jetbrains.com/pycharm/2025/08/the-state-of-python-2025/?utm_source=openai)

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