Python 3: From None to Machine Learning
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  • License
  • Book Writing Progress
  • Python Install
  • References in the Book

Python Basics

  • 1. About
  • 2. Types
  • 3. Sequences
  • 4. Mappings
  • 5. Control Flow
  • 6. Loops
  • 7. Files
  • 8. Functions
  • 9. Object Oriented Programming
  • 10. Recap
  • 11. References

Python Standard Library

  • 1. About
  • 2. Datetime and Timezones
  • 3. Serialization
  • 4. Database
  • 5. Regular Expressions
  • 6. Modules and Packages
  • 7. Builtins
  • 8. Locale
  • 9. Looping
  • 10. Type Annotations
  • 11. Object Oriented Programming
  • 12. Mathematics
  • 13. Operating System
  • 14. GUI
  • 15. Recap
  • 16. References

Python Advanced

  • 1. About
  • 2. Functions
  • 3. Decorators
  • 4. Object Oriented Programming
  • 5. OOP Protocols
  • 6. Performance
  • 7. Concurrency
  • 8. Recap
  • 9. References

Dragon

  • 1. Dragon (version alpha)
  • 2. Dragon (version beta)
  • 3. Dragon (version release candidate)

Design Patterns

  • 1. Entry Test
  • 2. Creational
  • 3. Structural
  • 4. Behavioral
  • 5. Paradigms
  • 6. Exit Test

CI/CD and Quality

  • 1. Software Engineering Conventions
  • 2. The Zen of Python
  • 3. Code Smells
  • 4. ReST and Sphinx documentation
  • 5. Unit Testing
  • 6. Pytest
  • 7. Python WAT?!
  • 8. Logging
  • 9. Warnings
  • 10. Basic Debugging
  • 11. Advanced Debugging
  • 12. Introspection
  • 13. Type Checking
  • 14. Annotating existing code
  • 15. Introspection
  • 16. CI/CD

Network and HTTP

  • 1. HTTP and Web
  • 2. Protocols
  • 3. Transport

Django

  • 1. HTTP
  • 2. Introduction to Django
  • 3. Django Framework Architecture
  • 4. Installation and Running
  • 5. Settings
  • 6. Apps
  • 7. Models
  • 8. URL Router
  • 9. ORM
  • 10. Views
  • 11. Forms
  • 12. REST
  • 13. Staticfiles
  • 14. Templates
  • 15. Templatetags
  • 16. Admin panel
  • 17. Management Commands
  • 18. i18n and l10n
  • 19. Database
  • 20. Cache
  • 21. Signals
  • 22. Auth and Permissions
  • 23. API CORS
  • 24. Standalone scripts
  • 25. Tests and quality
  • 26. Tests
  • 27. CI/CD - Continuous Integration and Deployment
  • 28. Deployment

Numerical Analysis, Data Science

  • 1. Introduction
  • 2. Jupyter
  • 3. Python
  • 4. Numpy
  • 5. Pandas
  • 6. Matplotlib
  • 7. Data Visualization
  • 8. Scipy

Machine Learning

  • 1. Introduction
  • 2. Sklearn
  • 3. Model Quality
  • 4. Decision Trees
  • 5. Regressions
  • 6. K-Nearest Neighbors
  • 7. Bayes
  • 8. Support Vector Machines
  • 9. Clustering
  • 10. Neural Networks
  • 11. References

Blogposts

  • 1. Wprowadzenie do Machine Learning w Pythonie

Appendixes

  • 1. History
  • 2. Further reading
  • 3. Books
  • 4. Video
  • 5. Python 2 vs. 3
  • 6. Python Intermediate
  • 7. Python in Networking
  • 8. Django Framework
  • 9. Python in Testing
  • 10. Python in Science and Engineering
  • 11. Python in Machine Learning
  • 12. References
Python 3: From None to Machine Learning
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Django

  • 1. HTTP
  • 2. Introduction to Django
  • 3. Django Framework Architecture
  • 4. Installation and Running
  • 5. Settings
  • 6. Apps
  • 7. Models
  • 8. URL Router
  • 9. ORM
  • 10. Views
  • 11. Forms
  • 12. REST
  • 13. Staticfiles
  • 14. Templates
  • 15. Templatetags
  • 16. Admin panel
  • 17. Management Commands
  • 18. i18n and l10n
  • 19. Database
  • 20. Cache
  • 21. Signals
  • 22. Auth and Permissions
  • 23. API CORS
  • 24. Standalone scripts
  • 25. Tests and quality
  • 26. Tests
  • 27. CI/CD - Continuous Integration and Deployment
  • 28. Deployment
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© Copyright 2020, CC-BY-SA-4.0, Matt Harasymczuk <book-python@astronaut.center>, last update: 2020-08-08 Revision b127195d.

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