Data visualization: important links and tips
PyCon2017
If you want to visualize some data in Python: which library do you choose? From Matplotlib to Seaborn to Bokeh to Plotly, Python has a range of mature tools to create beautiful visualizations, each with their own strengths and weaknesses. In this post I’ll give an overview of the landscape of data visualization tools in Python, as well as some deeper dives into a few, so that you can intelligently choose which library to turn to for any given visualization task.
Reference:
PyCon 2017(Published on May 20, 2017)
Speaker: Jake VanderPlas
YouTube Link
Slides
pyconau
PyCon Australia
Published on Aug 4, 2017
Speaker: Clare Sloggett
This talk was given at PyCon Australia 2017 which was held from 3-8 August, 2017 in Melbourne, Victoria. PyCon Australia is the national conference for users of the Python Programming Language.
Matplotlib tutorial by Nicolas P. Rougier
matplotlib is probably the single most used Python package for 2D-graphics. It provides both a very quick way to visualize data from Python and publication-quality figures in many formats. We are going to explore matplotlib in interactive mode covering most common cases.