PyCon (United States)

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PyCon (United States) is the largest annual gathering for users and developers of the Python (programming language) ecosystem in the United States. The event brings together professionals, hobbyists, and organizations involved with Django (web framework), Pandas (software), NumPy, SciPy, TensorFlow, PyTorch, Flask (web framework), Jupyter (software), Anaconda (Python distribution), and other projects to share technical talks, workshops, and community activities. Attendees include contributors from Mozilla Corporation, Google, Microsoft, Facebook, Instagram, Dropbox (service), Red Hat, IBM, Netflix, Spotify, Quora, and academic labs such as MIT CSAIL, UC Berkeley BIDS, Stanford AI Lab, and Harvard John A. Paulson School of Engineering and Applied Sciences.

History

PyCon in the United States grew out of early 2000s gatherings around Python (programming language), influenced by conferences like O'Reilly Open Source Convention and DEF CON. Early organizers included members associated with Zope Corporation, Digital Creations, and contributors connected to the Python Software Foundation. The conference moved venues across cities including Washington, D.C., Pittsburgh, Chicago, Cleveland, Sacramento, Monterey, California, Cleveland, Ohio, Salt Lake City, and Cleveland before larger iterations were held in convention centers in Portland, Oregon and Cleveland, Ohio. Over time, program elements incorporated tracks comparable to Strata Data Conference, SIGGRAPH, EuroPython, PyCon UK, PyCon AU, and PyCon APAC, and began hosting corporate sponsors such as Intel Corporation, NVIDIA, Oracle Corporation, Salesforce, SAP SE, GitHub, JetBrains, and Heroku. The event weathered disruptions tied to public health events like the COVID-19 pandemic and adopted virtual formats inspired by platforms used at Black Hat USA and RSA Conference.

PyCon is organized under the aegis of the Python Software Foundation, with local program committees and volunteer tracks coordinated by staff similar to those at Linux Foundation events and Apache Software Foundation conferences. Governance includes a board model influenced by nonprofit practices from the Electronic Frontier Foundation and Creative Commons. Committees manage speaker selection using review processes akin to those at ACM SIGCOMM and IEEE conferences. Financial oversight and sponsorship agreements echo policies used by NumFOCUS and Mozilla Foundation. Legal, accessibility, and safety policies draw on precedents from Society for Industrial and Applied Mathematics and Association for Computing Machinery.

The program typically comprises tutorials, workshops, and talks spanning subjects such as Machine learning, Data science, Web development, Testing (software), Performance engineering, Security (computing), and Open source. Specific project-oriented tracks feature communities around Django (web framework), Flask (web framework), Pyramid (web framework), Requests (software), SQLAlchemy, Celery (software), Twisted (software), asyncio, and pytest. Scientific computing sessions engage with NumPy, SciPy, pandas, matplotlib, SymPy, scikit-learn, and xarray, echoing collaborations with labs like Los Alamos National Laboratory and institutes such as Lawrence Berkeley National Laboratory. Enterprise and industry panels include companies like Amazon Web Services, Google Cloud Platform, Microsoft Azure, IBM Cloud, Red Hat, and VMware. Infrastructure and tooling tracks reference projects such as GitHub, GitLab, Travis CI, CircleCI, Ansible, Docker, and Kubernetes.

Keynotes have featured prominent figures from projects and organizations including leaders from Python Software Foundation, principal contributors from NumPy, SciPy, and pandas, researchers from MIT, Stanford University, UC Berkeley, and engineers from Google Research, Facebook AI Research, DeepMind, and OpenAI. Notable events have included lightning talks modeled after Y Combinator demo formats, sprints inspired by Wikipedia edit-a-thons, and job fairs similar to those at TechCrunch Disrupt. Milestones such as fundraiser auctions, award ceremonies paralleling Turing Award celebrations in spirit, and high-profile project announcements—mirroring launches at WWDC and Google I/O—have occurred on main stages.

Organizers run outreach and inclusion efforts comparable to programs at Grace Hopper Celebration, Lesbians Who Tech, Black Girls Code, Rails Girls, and Women Who Code. Initiatives include diversity scholarships, financial aid modeled after Mozilla Open Leaders, and codes of conduct influenced by Geek Feminism and Ada Initiative precedents. Childcare, accessibility accommodations, and support for first-time attendees draw on models from SXSW, PyData, and SciPy conferences. Community mentoring and newcomer programs coordinate with regional groups such as Python Software Foundation, NumFOCUS, and Jupyter Project initiatives.

PyCon has influenced the growth of the Python (programming language) community, contributed to the adoption of libraries such as NumPy, pandas, SciPy, and matplotlib, and fostered collaborations between academia and industry at institutions like MIT, Stanford, Berkeley, and Caltech. The conference has served as a launchpad for startups and projects linked to Anaconda (company), Continuum Analytics, Enthought, JetBrains, and corporate adopters including Google, Facebook, Netflix, Pinterest, and Dropbox (service). its legacy includes mentorship networks like PyLadies and governance practices reflected in the Python Software Foundation and sister organizations such as NumFOCUS and the Jupyter Project.

Category:Python (programming language) conferences