Top 15 Python Libraries for Data Science in 2017

@tachyeonz : As Python has gained a lot of traction in the recent years in Data Science industry, we wanted to outline some of its most useful libraries for data scientists and engineers, based on our experience.

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Python for big data

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10 Useful Python Data Visualization Libraries for Any Discipline

@tachyeonz : Scroll through the Python Package Index and you’ll find libraries for practically every data visualization need—from GazeParser for eye movement research to pastalog for realtime visualizations of neural network training.

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Handy Python Libraries for Formatting and Cleaning Data

@tachyeonz : The real world is messy, and so too is its data. So messy, that a recent survey reported data scientists spend 60% of their time cleaning data. Unfortunately, 57% of them also find it to be the least enjoyable aspect of their job.

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OSMnx: Python for Street Networks

@tachyeonz : OSMnx is a Python package for downloading administrative boundary shapes and street networks from OpenStreetMap. It allows you to easily construct, project, visualize, and analyze complex street networks in Python with NetworkX.

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How I wrote the world’s fastest JavaScript memoization library

@tachyeonz : In this article, I’ll show you how I wrote the world’s fastest JavaScript memoization library called fast-memoize.js – which is able to do 50 million operations / second.

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Why the Elixir language has great potential

@tachyeonz : As a developer I think it is important to stay up to date with new developments. But mostly I love learning new things 😉 This means to be on the lookout for current trends in the tech industry, guessing their potential and trying them out. Sometimes I’m right.

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Tags : concurrency, elixir language, graphql, immutable, libraries, m, programming, scalability

Published On:December 23, 2016 at 06:39AM

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OSMnx: Python for Street Networks

@tachyeonz : OSMnx is a Python package for downloading administrative boundary shapes and street networks from OpenStreetMap. It allows you to easily construct, project, visualize, and analyze complex street networks in Python with NetworkX.

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Tags : #libraries, #openstreetmaps, #osm, #python, #routefinding, #shortestpath, m

Published On:November 12, 2016 at 05:47PM

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Complex neural networks made easy by Chainer

@tachyeonz : Chainer is an open source framework designed for efficient research into and development of deep learning algorithms. In this post, we briefly introduce Chainer with a few examples and compare with other frameworks such as Caffe, Theano, Torch, and Tensorflow.

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Tags : #chainer, #comparison, #libraries, #neuralnetworks, m

Published On:November 11, 2016 at 11:59AM

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