Top 10 Python libraries of 2015
As the new year approaches, we often sit back and think about what we have accomplished in 2015. Many of our projects would not have been as successful if it were not for the great work done by the open source community, providing some solid, bullet-proof libraries. Everyone and their grandma seems to be writing top 10 lists, so we couldn't be less and compiled our own. Here is a list of the best
pandas - Python Data Analysis Library
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!
fonnesbeck/ScipySuperpack @ GitHub
This shell script will build and install the Python scientific stack, including Numpy, Scipy, Matplotlib, IPython, Pandas, Statsmodels, Scikit-Learn, and PyMC for OS X 10.10 (Yosemite) using the Homebrew package manager and pip. The script will use recent development code from each package, which means that though some bugs may be fixed and features added, they also may be more unstable than the o
Universal Feed Parser
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NumPy — NumPy
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional containe
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