data science

Python Data Science Handbook: Essential Tools for Working with Data

A review of the Python Data Science Handbook, which covers IPython, NumPy, pandas, Matplotlib and machine learning with Scikit-Learn, and was written by Jake VanderPlas.

Python Text Processing with NLTK 2.0 Cookbook

A review of the Python Text Processing with NLTK 2.0 Cookbook that covers text categorization, topic identification, stemming, lemmatization, tokenization, corpus creation and more.

Mining the Social Web

A review of the book Mining the Social Web about collecting, analyzing, and visualizing data from social networks like Facebook, Twitter, and LinkedIn.