INSTALL # Anaconda Way # This is suggested for very new users to use a stable environment.
It is NOT suitable for normal users / experienced programmers / engineers.
for windows # Download Python 3 from Anaconda and install.
From Windows “Start” menu, run “Jupyter” directly. (at least since v5.3.1)
Old versions needs to run from navigator as below:
anaconda for linux # Similar to win, for details, see here.
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Books & Docs # Seaborn tutorial & gallary OReilly 2017 - [easy to find common examples] Python Data Science Handbook Packt 2015 - [nice code grammar] Python Data Visualization Cookbook, 2nd Ed. (Igor Milovanovic) Packt 2015 - [rich & various content] Mastering Python Data Visualization Packt 2015 - [advanced nice plots & deployments] Mastering matplotlib (D.M. McGreggor) [Very bad composition] Packt 2018 - Matplotlib for Python Developers - 2nd Ed (by Allen Yu, Claire Chung) Overview of Libs # Python Data Visualisation Landscape
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