Python (2026): Frameworks, Libraries, IDEs, Tutorials

Editors & Tooling

4 entries

Where Python code gets written and tuned.

01Python IDEsPyCharm, VS Code, Spyder, Thonny and notebook environments such as Positron and Marimo. 02Code Editors with Python SupportVS Code, Sublime Text, Vim, Neovim, Emacs, Zed and Helix, plus linters and type checkers. 03Python Code Profiling LibrariescProfile, py-spy, Scalene, memray, Pyinstrument and more. 04PythonThe official Python website with downloads and documentation; Python 3.15.0 was released on 9 October 2026.

Frameworks

4 entries

Web, application and AI frameworks.

05Python FrameworksDjango, FastAPI, Flask, Litestar, Starlette and other web and API frameworks. 06Python Libraries for Web DevelopmentFastAPI, Django, Flask, Streamlit, Gradio, Reflex, Pydantic, SQLAlchemy and Celery. 07Python Frameworks for AIFrameworks for deep learning and reinforcement learning. 08Microservices Frameworks for PythonFrameworks for building microservices in Python.

Libraries for Data & AI

8 entries

Libraries for analysis, forecasting and explainability.

09Machine Learning Frameworksscikit-learn, XGBoost, LightGBM, CatBoost, AutoML, time series and tuning tools. 10Deep Learning FrameworksPyTorch, TensorFlow, JAX, Keras, Hugging Face Transformers and distributed training. 11Python Libraries for Data ScientistsNumPy, pandas, Polars, scikit-learn, SciPy, Matplotlib, DuckDB and Dask. 12Python for Data ScienceGuides and resources for data science with Python. 13Python Libraries for Time-Series Analysissktime, Darts, Prophet, StatsForecast, GluonTS, Chronos and TimesFM. 14Python Libraries for Explainable AISHAP, LIME, InterpretML, Captum, Alibi, AIX360 and OmniXAI. 15Python Libraries for Sentiment AnalysisVADER, TextBlob, spaCy, Flair, Transformers and SetFit. 16Python Libraries for LLM ApplicationsLangChain, LlamaIndex, DSPy, vLLM, Pydantic AI, LiteLLM and vendor SDKs.

Learning

1 entries

Tutorials for beginners to advanced developers.

17Python TutorialsStructured tutorials from basics to advanced topics.

Official Python Resources

5 entries

Primary resources.

18Python DocumentationOfficial Python docs. 19Python Enhancement ProposalsDesign documents for Python. 20PyPIPython Package Index. 21Python Packaging User GuideOfficial packaging guidance. 22The Hitchhiker's Guide to PythonBest practices handbook.

5 entries

Neighbouring directories.

23Programming LanguagesProgramming languages hub. 24JavaScript IDEsIDEs and editors for JavaScript. 25Machine LearningMachine learning hub. 26Software FrameworksFrameworks by language and architecture. 27Software EngineeringHub of software engineering languages, frameworks, IDEs and practices.

Frequently Asked Questions

What is Python used for?

Python is a general-purpose language widely used for web back ends, automation, data science, machine learning and scripting, thanks to its readable syntax and large library ecosystem.

Which Python framework should I choose for the web?

Django offers a batteries-included approach, Flask is minimal and flexible, and FastAPI is popular for typed, high-performance APIs. See the Python Frameworks page.

Which libraries do data scientists use?

NumPy, pandas, Matplotlib, scikit-learn and SciPy form the core; the data science and time-series pages list more.

How do I profile slow Python code?

Use a profiler such as cProfile or a third-party library to find hot spots before optimising; the profiling page lists options.

Which additional references does this page add?

The section 'Official Python Resources' lists Python Documentation, Python Enhancement Proposals, PyPI, Python Packaging User Guide, The Hitchhiker's Guide to Python.

Where can I learn Python?

Start with the Python Tutorials page and the official documentation at python.org.

Python Language: IDEs, Frameworks, Libraries & Tutorials