Python Notes

My notes on the Python programming language.

• Books
  • No Starch Press
  • O'Reilly
• Videos
  • pyvideo
• Web Sites
  • python.org
• Frameworks
  • Django
  • Flask
• Behavior-Driven Development (BDD)
• Data Science
• Machine Learning
• Parallel Computing
• License

Books

• A Byte of Python
• Effective Python
• Grokking Algorithms
• Practical Algorithms and Data Structures
• Python Machine Learning
• Python Tricks
• The Hitchhiker's Guide to Python
• Wikibooks: Python Programming
• The Quick Python Book
• SICP in Python
• Clean Code Python
• How to Think Like a Computer Scientist
• more books...

No Starch Press

• Automate the Boring Stuff
• Python Crash Course
• Serious Python
• more...

O'Reilly

• Fluent Python
• Introducing Python
• Python Cookbook
• Python for DevOps
• Test-Driven Development with Python
• Think Python
• Data Science
  • Python Data Science Handbook
  • Python for Data Analysis
• Machine Learning
  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
  • Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Videos

• SF Python
• Socratica
• Corey Schafer
• The Mighty Dictionary
• Transforming Code into Beautiful, Idiomatic Python
• pyvideo

Web Sites

• An Introduction to Python and Programming
• python-course.eu
• freeCodeCamp: Python
• Google's Python Class
• Real Python
• W3Schools: Python
• Your First Machine Learning Project in Python Step-By-Step
• Problem Solving with Algorithms and Data Structures using Python
• Pythonic Data Structures and Algorithms
• Practical Python Programming
• Tutorials Point: Python 3

python.org

• Essays
  • Python Patterns - Implementing Graphs
• Documenation
  • Python Documentation contents
    • What’s New in Python
    • The Python Tutorial
    • Python Setup and Usage
    • The Python Language Reference
    • The Python Standard Library
      • Built-in Functions
      • Built-in Constants
      • Built-in Types
      • Built-in Exceptions
      • Data Types
      • Development Tools
        • typing — Support for type hints
        • unittest — Unit testing framework
      • Debugging and Profiling
        • pdb — The Python Debugger
      • Software Packaging and Distribution
      • Python Runtime Services
    • Python HOWTOs
      • Descriptor HowTo Guide
      • Functional Programming HOWTO
      • Logging HOWTO
      • Logging Cookbook
      • Regular Expression HOWTO
      • Socket Programming HOWTO
      • Sorting HOWTO
      • Unicode HOWTO "Software should only work with Unicode strings internally, decoding the input data as soon as possible and encoding the output only at the end."
      • HOWTO Fetch Internet Resources Using The urllib Package
      • Argparse Tutorial
    • FAQ
      • Programming FAQ
    • Python Module Index
    • Glossary
• PEP Index
  • PEP 8 -- Style Guide for Python Code
  • PEP 20 -- The Zen of Python
  • PEP 257 -- Docstring Conventions
  • PEP 420 -- Implicit Namespace Packages
  • PEP 440 -- Version Identification and Dependency Specification
  • PEP 483 -- The Theory of Type Hints
  • PEP 484 -- Type Hints
  • PEP 584 -- Add Union Operators To dict
  • PEP 3099 -- Things that will Not Change in Python 3000
  • more...

Frameworks

Django

• Django Documentation
  • Getting Started
  • Using Django
  • Django API Reference
  • Django “How-to” guides
• Django Girls Tutorial

Flask

Behavior-Driven Development (BDD)

• What is behavior-driven Python?
• Python BDD Framework Comparison
• behave:
  • behave documentation
  • behave-django
  • GitHub: behave
• pytest-bdd:
  • pytest documentation
  • pytest-bdd documentation
  • GitHub: pytest-bdd
  • Python Testing 101: pytest-bdd
• cucumber documentation

Data Science

• Pandas
• NumPy

Machine Learning

• Practical Machine Learning Tutorial with Python Introduction
• fast.ai
  • fastai Documentation
  • fastai: A Layered API for Deep Learning
• PyTorch
• TensorFlow
  • TensorFlow Tutorials
  • Machine Learning Mastery: Introduction to the Python Deep Learning Library TensorFlow
  • DataCamp: TensorFlow Tutorial For Beginners
  • GitHub: TensorFlow
• Sidekit

Parallel Computing

• Apache Spark
  • Apache Spark Architectural Overview
  • How do Hadoop and Spark Stack Up?
  • How to Pivot and Unpivot a Spark DataFrame
  • Introduction to Data Analysis with Spark
  • Spark performance for Scala vs Python
  • The Good, Bad and Ugly: Apache Spark for Data Science Work
  • The Spark Stack
  • pyspark package
    • A Brief Introduction to PySpark
    • First Steps With PySpark and Big Data Processing
    • PySpark Programming – Integrating Speed With Simplicity
• Dask
• Parallel Python

License

Released as open source software under the terms of the ISC License.