8 upcoming events worldwide
Python's versatility spans web development, data science, machine learning, and scientific computing. Python conferences — from PyCon US to EuroPython and regional gatherings — bring together developers, data scientists, and educators from around the world.
PyCon US (Pittsburgh/Pittsburgh area, spring) is the flagship Python community event, regularly drawing 2,500+ attendees with deep technical tracks and language summit access. EuroPython (rotating European city, July) is the largest Python conference in Europe. PyCon APAC serves the Asia-Pacific community and rotates between countries. PyData events (PyData Global, PyData London, PyData Berlin, and 30+ regional chapters) focus on the scientific Python and ML stack. DjangoCon US and DjangoCon Europe serve the web framework community specifically.
Python conferences in 2026 cover: async Python (asyncio, Trio, structured concurrency), type annotations and mypy/pyright static analysis, Python packaging and the modern pyproject.toml ecosystem, performance (Cython, mypyc, free-threaded CPython / no-GIL progress), web frameworks (Django 5.x, FastAPI, Starlette), AI/ML with Python (PyTorch 2.x, JAX, Hugging Face transformers), data tools (Polars vs pandas, DuckDB, Ibis), and Python in embedded/WebAssembly (MicroPython, Pyodide, Wasm). The CPython language summit at PyCon US covers the interpreter's future direction.
Yes — the Python Software Foundation ensures virtually all PyCon US talks are recorded and posted to the PyPa YouTube channel within days of each session. EuroPython also publishes its full recording catalog. PyData events publish talks via the PyData YouTube channel. This makes the Python conference ecosystem one of the most accessible in tech — you can watch years of PyCon talks for free, though attending in person gives you sprints, open space discussions, and access to core developer hallway conversations.
PyCon US opens its CFP in October–November for a spring conference. EuroPython accepts proposals in January–February. Proposals should specify: level (beginner/intermediate/advanced), audience prerequisites, key takeaways, and a detailed outline. Python conferences are especially open to first-time speakers — PyCon US runs a Speaker Mentorship program that pairs new speakers with experienced reviewers. Practical experience reports, deep dives into CPython internals, and well-structured tutorials have the best acceptance rates.
PyData is the primary conference series for scientific Python and data science. PyData Global (online), PyData London, PyData Berlin, and dozens of regional chapters cover pandas, NumPy, Polars, scikit-learn, XGBoost, PyTorch, and the broader ecosystem. SciPy Conference (Austin) goes deep on scientific computing: SciPy, NumPy internals, Numba, and domain-specific Python for physics, biology, and climate science. ODSC (Open Data Science Conference) bridges Python ML with business data science. NeurIPS, ICML, and ICLR workshops often use Python tooling as their implementation language.
Absolutely — PyCon sprints (4 days post-conference) are among the best ways to make your first open source contribution. Core Python maintainers, Django, NumPy, pandas, and Jupyter project leads all run sprint tables. You can pair with experts on real issues, and many first-time contributors merge their first PR during these sprints. The sprints are free for conference attendees and open to outside developers on a space-available basis. If you've wanted to contribute to CPython, Django, or scientific Python, the sprint environment dramatically lowers the barrier.