Each topic consists of two sessions: The first one provides a general overview with many quick hands-on exercises. The second discusses additional tips, tricks, and Pythonic hacks, and walks you through a couple of short mini-projects (exercises).
This is a beginners' level tutorial where we focus on the basic syntax of the language and essential functionality as well as the fundamental packages NumPy & SciPy. The first session targets to give a comprehensive intro, while second focuses on specific and cool examples.
Session I: Getting started with Python: Using iPython notebook, syntax, I/O, NumPy & SciPy.
Tutorial Basics: Introduction to Python
Session II: A few cool and interesting hands-on examples of Python usage.
Tutorial Basics: NumPy & SciPy
The second day focuses on using Python for data visualization and introduces the widely used Matplotlib and other packages such as Seaborn, and Bokeh. During the first session we will discuss the main Python graphics concepts such as figures, axes, etc., and will work through a number of quick examples. There will be a simple mini-project given as a homework. The second session builds upon our knowledge of Matplotlib, and walks through a few more techniques, such as complex plotting.
Session I: Introduction to Python plotting and visualization packages: Matplotlib, Seaborn.
Tutorial Basics: Mini-project
Session II: Advanced visualization techniques using Matplotlib. Interactive graphics with Bokeh.
Tutorial Plotting and Visualization
In this tutorial we introduce object-oriented programming (OOP), Classes and objects, functions, scopes and closures, as well as cover useful logging techniques.