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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© Copyright 2020, CC-BY-SA-4.0, Matt Harasymczuk <book-python@astronaut.center>, last update: 2020-08-03 Revision 28adf133.

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