With the release of free-threaded builds of Python, it’s more important than ever to ensure Python code is thread-safe. Here I detail my journey making the NumPy test suite thread-safe over the course of my internship.

   An overview of differences between BLAS LAPACK implementations and their packaging.

   On doing an open source internship & how we created a plugin for daft

   How we built a modern, Python-native foundation for pyOpenSci website using Django, Wagtail, and Tailwind CSS from project setup to production-ready features.

   A description of the performance optimizations made to the free-threaded garbage collector for Python 3.14.

   A recap on the work done in Python 3.14 to enable asyncio to scale on the free-threaded build of CPython.

   pd.col will soon be a real thing

   The story of how the Python Wheel Variant design was developed

   See how Point72 teamed up with Quansight to fund support for ABI3 packages in the conda ecosystem.

   Years of accessibility work around Jupyter and thoughts on how to survive it in your own projects.

   Protocols and TypeVars

   Complications of having all these resources and methods to manage them.

   A recap of the first year of work on enabling support for the free-threaded build of CPython in community packages.

   Highlights the work done to improve developer experience at SciPy, specifically on supporting Intel oneAPI MSVC and spin

   Yes, list comprehensions can belong in SQL ( )

   Presenting our 2024 annual report Read about our open source project and community highlights, initiatives, and work culture.

   It’s not as scary as you think

   Analysis of PEP 517 build backends used in 8000 top PyPI packages

   In 2022 we were awarded a CZI EOSS grant for conda-forge. The proposal, co-submitted by Quansight Labs and QuantStack, targeted three areas: maintaining and improving conda-forge’s infrastructure, creating a new maintainer’s dashboard, and implementing OCI-based mirroring for the packages. This...

   Our work for the napari project resulted in multiple beneficial side effects for the conda packaging ecosystem.

   The story of the first shared library to make it into the world of low level code that lies beneath SciPy’s surface.

   Support everything, depend on (almost) nothing

   Implementing LAPACK routines for numerical computation in web applications

   Event resources are here With October over and the end of another year galloping our way, the Scientific Python Accessibility Events have come and gone in a flurry of discussion, ideas, and, of course, many many questions on how accessibility fits into our work.

   A closer look at non-elementary group-by aggregations

   Lessons learned during my three-month internship in 2024 at Quansight on adding accessibility testing to Bokeh.

   Introducing the new data-type for Numpy providing cross-platform support of quadruple precision.

   Increasing ease-of-use of Polars plugins by improving an existing tutorial.

   My work focused on extending support for COOrdinate sparse arrays in SciPy to n-dimensions.

   Extending SciPy’s integration facilities for multidimensional and array-valued integrands.

   I am happy to announce two upcoming public events focused on helping the scientific Python ecosystem develop their accessibility skills before the new year.

   A small showcase of accessibility improvements made to the PyData Sphinx Theme, Fall 2023-Spring 2024

   Making the documentation more user friendly and how benchmarks were integrated in pydata sparse.

   Meet the interns joining us for our third-annual summer internship.

   In this blog post, I describe my experience as a first-time contributor to NumPy and talk about the story behind np.top k .

   An overview of the ongoing efforts to improve and roll out support for free-threaded CPython throughout the Python open source ecosystem

   An overview of the different options available for working with sparse arrays in Python

   Learn what you should be using instead

   And how your Python library can become dataframe-agnostic too

   An overview of the dataframe landscape, and solution to the we only support pandas problem

   The journey of writing string ufuncs and creating the np.strings namespace for NumPy 2.0

   Presenting our 2023 annual report Read about our open source project and community highlights, initiatives, and work culture.

   What are those words on the bottom of your video screen and where do they come from? Captioning’s normalization in the past several decades may seem like it would render those questions moot, but understanding more about captions means making more informed decisions about when, how, and why we make...

   A quick overview of the new Numba engine in DataFrame.apply

   We are excited to spread the news about the improvements that have been taking place in CuPy, where 18 interpolation and more than 100 signal processing parallel GPU APIs are now available as part of a EOSS4 CZI grant.

   Moving SciPy to Meson meant finding a different Fortran compiler on Windows, which was particularly tricky to pull off for conda-forge. This blog tells the story about how things looked pretty grim for the Python 3.12 release, and how things ended up working out just in the nick of time.

   My work was focused on improving NumPy support in Numba, with focus on the polynomial package.

   A journey through NumPy’s Python API from a maintenance perspective.

   SymPy’s documentation has received many significant improvements over the past two years thanks to funding by the Chan Zuckerberg Initiative.

   The journey of a PyData Newbie