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Dask Development Log
This work is supported by Anaconda IncTo increase transparency I’m trying to blog more often about the current work going on around Dask and related projects. Nothing here is ready for production. This...
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So you want to contribute to open source
Welcome new open source contributor!I appreciated receiving the e-mail where you said you were excited about getting into open source and were particularly interested in working on a project that I...
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Anatomy of an OSS Institutional Visit
I recently visited the UK Meteorology Office, a moderately large organization that serves the weather and climate forecasting needs of the UK (and several other nations). I was there with other open...
View ArticleSupport Python 2 with Cython
SummaryMany popular Python packages are dropping support for Python 2 next month. This will be painful for several large institutions. Cython can provide a temporary fix by letting us compile a Python...
View ArticleFirst Impressions of GPUs and PyData
I recently moved from Anaconda to NVIDIA within the RAPIDS team, which is building a PyData-friendly GPU-enabled data science stack. For my first week I explored some of the current challenges of...
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GPU Dask Arrays, first steps
The following code creates and manipulates 2 TB of randomly generated...
View ArticleThe Role of a Maintainer
What are the expectations and best practices for maintainers of open source software libraries? How can we do this better?This post frames the discussion and then follows with best practices based on...
View ArticleWrite Short Blogposts
I encourage my colleagues to write blogposts more frequently. This is for a few reasons:It informs your broader community what you’re up to, and allows that community to communicate back to you...
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HTML outputs in Jupyter
SummaryUser interaction in data science projects can be improved by adding a small amount of visual deisgn.To motivate effort around visual design we show several simple-yet-useful examples. The code...
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