Variable Explorer improvements in Spyder 4

Spyder 4 will be released very soon with lots of interesting new features that you'll want to check out, reflecting years of effort by the team to improve the user experience. In this post, we will be talking about the improvements made to the Variable Explorer.

These include the brand new Object Explorer for inspecting arbitrary Python variables, full support for MultiIndex dataframes with multiple dimensions, and the ability to filter and search for variables by name and type, and much more.

It is important to mention that several of the above improvements were made possible through integrating the work of two other projects. Code from gtabview was used to implement the multi-dimensional Pandas indexes, while objbrowser was the foundation of the new Object Explorer.

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A new grant for NumPy and OpenBLAS!

I'm very pleased to announce that NumPy and OpenBLAS just received a $195,000 grant from the Chan Zuckerberg Initiative, through its Essential Open Source Software for Science (EOSS) program! This is good news for both projects, and I'm particularly excited about the types of activities we'll be undertaking, what this will mean in terms of growing the community, and to be part of the first round of funded projects of this visionary program.

The program

The press release gives a high level overview of the program, and the grantee website lists the 32 successful applications. Other projects that got funded include SciPy and Matplotlib (it's the very first significant funding for both projects!), Pandas, Zarr, scikit-image, JupyterHub, and Bioconda - we're in good company!

Nicholas Sofroniew and Dario Taborelli, two of the people driving the EOSS program, wrote a blog post that's well worth reading about the motivations for starting this program and the 42 projects that applied and got funded: The Invisible Foundations of Biomedicine.

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