Data Science in Python. Volume 1: Get and Install Scientific Python3: WinPython, Anaconda

Python is the most popular programming language in scientific computing today. This series is for people who want to start using Python 3 and its popular extension libraries quickly. I assume you are familiar with Python. This short introductory volume 1 is intended to get you started with scientific Python distribution necessary to run examples from other volumes. It covers how to:

• Obtain and install Winpython or Anaconda Python distribution.


• Start a Jupyter (formerly IPython) notebook


• Use IDLE and Spyder integrated development environments


• Gives an overview of the topics covered in the following volumes

Volume 2 of this series, that describes how to read tabular data, save it as text or Microsoft Excel file, explore data interactively with Ipython notebook, create GUI application with TkInter, package your program for deployment on other computers, do efficient computation with Numpy, run Python at the speed of compiled program on all cores of your processor.

Volume 3 describes plotting library Matplotlib and using Python together with SQLite database.