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 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 Spring

   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 .

   Presenting our 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 interpolation and more than signal processing parallel GPU APIs are now available as part of a EOSS 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 . 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

   Gives an introduction to the utility of hypothesis in SymPy

   How can SciPy use the Array API Standard to achieve array library interoperability

   A summary of my contributions to the Code Generator project and PyTorch Ignite ecosystem in the past few months as Quansight Labs intern and my learnings in the process.

   In this blog post, we share how scikit learn enabled support for the Array API Standard.

   In this post I’m sharing my experience of traveling to the US for PyCon US

   In the following blogpost, we will explore the newly added feature in Numba: Dynamic exception support. We will discuss the previous limitations and explain how Numba was enhanced to handle runtime exceptions.

   Presenting our first annual report Read about our project achievements, community initiatives, and work culture.

   Potential solutions for pain points when dealing with native code; what needs unifying in the Python packaging space, and how should that be approached

   Blogpost of working on the PyTorch Ignite project during internship at Quansight

   Surbhi Sharma shares her exciting experience working as an intern at Quansight Labs and contributing to condacolab, a tool that lets you deploy a Miniconda installation easily on Google Colab notebooks. This enables you to use conda or mamba to install new packages on any Colab session.

   Kulsoom Zahra learns about accessibility and fixes a part of the JupyterLab interface that used to break when zoomed in during her summer internship at Quansight Labs.

   accessible pygments hosts curated WCAG compliant themes for all your syntax highlighting needs.

   In this blogpost, I share my experience as a Google Season of Docs technical writer working on updating the Editor user documentation.

   Learning from awesome mentors and contributing to pandas open source

   We are delighted to share details about new grants to support the sustainability of SciPy, conda forge, and CuPy

   The Nebari CLI consists of various commands the user needs to run to initialize, deploy, configure, and update Nebari.

   Quansight Labs is delighted to welcome its second cohort of interns, who will work on a variety of open source projects and tasks

   Announcing the SciPy Accessibility Awareness Efforts

   A non exhaustive but totally honest checklist for accessibility review

   The development story of a developer command line interface CLI for the SciPy project, with exmaples

   In our weekly show and tell we got real about why can writing blog posts be so hard and collaboratively wrote up this blog post about what we learned from the discussion.

   How we can use the Python Array API Standard with the fundamental libraries in the PyData ecosystem along with CuPy for making GPUs accessible to the users of these libraries