Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook: Essential Tools for Working with Data do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
Table of Contents
- IPython: Beyond Normal Python
- Introduction to NumPy
- Data Manipulation with Pandas
- Visualization with Matplotlib
- Machine Learning
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Author(s): Jake VanderPlas
Publisher: O’Reilly Media
Published: November 2016
Format(s): Online (HTML)
File size: –
Number of pages: 541
Download / View Link(s): Read online
Publisher: O’Reilly Media
Published: November 2016
Format(s): Online (HTML)
File size: –
Number of pages: 541
Download / View Link(s): Read online