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Data Science Libraries to look out for in 2018

Hey Readers,  As Python has gained a lot of traction in the recent years in Data Science industry. I wanted to outline some of its most useful libraries for data scientists and engineers, based on recent experience. NumPy When beginning to manage the scientific undertaking in Python, one unavoidably desires help to Python's SciPy Stack, which is an accumulation of programming particularly intended for scientific processing in Python (don't mistake for SciPy library, which is a piece of this stack, and the network around this stack). Along these lines we need to begin with a glance at it. Be that as it may, the stack is quite huge, there is in excess of twelve of libraries in it, and we need to put a point of convergence on the center bundles (especially the most fundamental ones).  The most major bundle, around which the scientific computation stack is constructed, is NumPy (remains for Numerical Python). It gives a plenitude of valuable highlights for tas...

Weekly Open Source News -1

Hello everyone! Welcome to the first edition of Open Source Weekly where I bring you to the new and updated Github  repositories which we use now and then. Pandas (Python) The @pandas-dev/pandas  have recently started a new contribution milestone for non organisation members named "Contributions Welcome", which happens to be described as  Changes that would be nice to have in the next release. These issues are not blocking. They will be pushed to the next release if no one has time to fix them.  And as for now, it is about 20% completed. So do look out for new issues here and there if you are interested in making some sexy Data Frame stuff. Atom (JavaScript) The @atom/atom  are facing a really interesting issue right now, Namely :  Atom does not quit on OS X  #17672 Interesting, no? Apparently both shortcut and menu bar exit ain't working for this guy, so incase anyone is interested in helping out: they surely can. The Link f...

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