Python Tools for Data Science

I believe Python is increasingly becoming the de facto language for data science applications. Of the many good feature of this language, string manipulation is ridiculously easy and it is a very simple language to pick up. In this post I put together the tools and IDE’s related to Python which I found useful for data science applications.

Scientific Computing

• NumPy http://www.numpy.org/, scientific computing toolkit
• SciPy http://www.scipy.org/, scientific computing toolkit
• Matplotlib http://matplotlib.org/, graphics and plotting
• Scikit http://scikit-learn.org/, machine learning library  

IDE for Python

• Stani Editor,  http://pythonide.blogspot.com/, decent simple editor
• PythonXY https://code.google.com/p/pythonxy/, IDE built with Spyder
• Liclipse, http://brainwy.github.io/liclipse/ standalone python IDE based on eclipse
• PyDev, http://pydev.org/ plugin for Eclipse

Basic math skills for data science  

• Linear Algebra
• Statistics
• Probability
• Calculus