For many researchers, Python is a first-class tool mainly
because of its libraries for storing, manipulating, and gaining
insight from data. Several resources exist for individual
pieces of this data science stack, but only with the Python
Data Science Handbook do you get them all—IPython, NumPy,
Pandas, Matplotlib, Scikit-Learn, and other related tools.
Working scientists and data crunchers familiar with reading... more...