Three Useful Python Libraries for Startups – tl;dr this post suggest Whitenoise, Phonenumbers and Pdfki as 3 important packages for startups and requests and Python-dateutil as runner-ups. IMHO, those are very strange choices. I agree with choosing requests as a package that simplify http requests and which is important to infrastructure. I expected the other packages as well to relate to infrastructure. Possibly libraries I would think of – django and boto. Possibly also numpy and \ or pandas for very common statistic and analysis use cases.
http://blog.instavest.com/three-useful-python-libraries-for-startups
Trending @ Instagram – I used to work on a very similar problem to this one and facing almost the same challenges – ranking and scoring, grouping. It is always interesting to see how different people approach the same problem which I know intimately.
http://instagram-engineering.tumblr.com/post/122961624217/trending-at-instagram
Git from the inside out – version control is very important tool in the everyday life so it is nice to look into one possible implementation of it.
https://codewords.recurse.com/issues/two/git-from-the-inside-out
Document clustering with Python – simple, clear howto guide which both explain the theory lightly, examine several clustering algorithms and sums up with visualizations.
http://nbviewer.ipython.org/github/brandomr/document_cluster/blob/master/cluster_analysis_web.ipynb
Deploying python packages @ Nylas – I love such posts which explain the real life problem they faced, suggest several solution \ possible alternative and their pros and cons and show what and why they eventually choose. Specifically as I believe every python developer run onto those problems at least once (a day :))