An introductory and intermediate course on Python

Topics

Python Features

• Bultin Data Types
• Control Flow
• Scopes
• Functions
• Generators
• Comprehensions
• Functional Programming
  • Lambda Functions
• Importing Packages
  • Common Packages of the Standard Library
• Data Persistence
• Classes, OOP
• Decorators
• Cython and Static Types

Tasks

• Dimensional Data and Exploratory Data Analysis: Numpy, Pandas
• Textual Analysis: NLTK, Gensim, Spacy
• Visualization: Matplotlib, Seaborn
• Graph Analysis: NetworkX, ete3
• Webscraping: Beautiful Soup, MechanicalSoup, Selenium
• Temporal Series: Pandas, Statsmodels

References

Programming Languages history
Programming Languages timeline
Programming Languages paradigms
What (not) to do to learn programming?
"Hello World" in 50 different programming languages

Python Resources

Why Python? Tiobe Index, PL and jobs, PL and jobs (2), Python Curiosities
Python Package Index
Python Style Guide Python IDEs Anaconda, PyCharm, Rodeo Visualizing Code Execution
Jupyter Hub Docker
From Notebooks to Scripts

Exercises:

Project Euler
Brilliant
URI Online Judge
Rosetta Code Exercism