Python: From None to Machine Learning

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Book Writing Progress
Python Install
Survey
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

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. References

Python Advanced

1. About
2. Annotation
3. Unpacking
4. Functions
5. Decorators
6. Object Oriented Programming
7. Protocols
8. Performance
9. Concurrency
10. Recap

Dragon

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

Numpy

1. About
2. Array
3. Select
4. Import & Export
5. Math

Pandas

1. About
2. Import & Export
3. Series
4. DataFrame
5. Date
6. Recap
7. Case Studies

Matplotlib

1. About
2. Figure
3. Style
4. Chart
5. Advanced
6. Recap

Object Oriented Programming

1. Paradigm
2. Python
3. Dynamic Typing

Design Patterns

1. About
2. Annotation
3. UML
4. OOP
5. Idioms
6. Protocols
7. Decorators
8. Behavioral
9. Structural
10. Creational
11. Practices
12. Paradigms

DevSecOps

1. Good Engineering Practices
2. Tests
3. Debugging
4. Type Annotation
5. 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

Data Science

1. Introduction
2. Jupyter
3. Python
4. Data Visualization
5. Scipy

Machine Learning

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

Blogposts

1. Wprowadzenie do Machine Learning w Pythonie

Appendixes

1. History
2. Further reading
3. Python Intermediate
4. Python in Networking
5. Django Framework
6. Python in Testing
7. Python in Science and Engineering
8. Python in Machine Learning
9. References

Python: From None to Machine Learning

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© Copyright 2021, CC-BY-SA-4.0, Matt Harasymczuk <book-python@astrotech.io>, last update: 2021-01-23 Revision 584ae4e6.

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