Python: From None to Machine Learning
latest
  • License
  • Install Python

Python Basics

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

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

DevOps

  • 1. About
    • 1.1. Agenda
    • 1.2. Certificate
    • 1.3. Description
    • 1.4. Survey
  • 2. Good Engineering Practices
    • 2.1. Software Engineering Conventions
    • 2.2. The Zen of Python
    • 2.3. Code Smells
    • 2.4. ReST and Sphinx documentation
  • 3. Tests
    • 3.1. Unit Testing
    • 3.2. Pytest
  • 4. Debugging
    • 4.1. Python WAT?!
    • 4.2. Logging
    • 4.3. Warnings
    • 4.4. Basic Debugging
    • 4.5. Advanced Debugging
    • 4.6. Introspection
  • 5. Type Annotation
    • 5.1. Type Checking
    • 5.2. Annotating existing code
    • 5.3. Introspection
  • 6. CI/CD
    • 6.1. CI/CD Devtools Ecosystem
    • 6.2. CI/CD Tools
    • 6.3. CI/CD Pipelines
    • 6.4. Linters
    • 6.5. Behavioral Testing
    • 6.6. Code Style
    • 6.7. Code Coverage
    • 6.8. Internationalization
    • 6.9. DB Schema Migration
    • 6.10. Distributing
    • 6.11. Security
    • 6.12. Smoke Tests
    • 6.13. Static Code Analysis
    • 6.14. Test Automation
    • 6.15. Type Checking
    • 6.16. UI testing
    • 6.17. Mutation Testing

Network and HTTP

  • 1. About
  • 2. Protocols
  • 3. Transport

Django

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

FastAPI

  • 1. About
  • 2. HTTP
  • 3. Web
  • 4. API
  • 5. Database
  • 6. Auth
  • 7. DevOps
  • 8. Microservices

Data Science

  • 1. About
  • 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
  • Writing Progress
  • References in the Book
  • Survey
  • Python History
  • 11.3. Further reading
Python: From None to Machine Learning
  • Docs »
  • 1. About
  • Edit on GitHub

1. About¶

About

  • 1.1. Agenda
  • 1.2. Certificate
  • 1.3. Description
  • 1.4. Survey

2. Good Engineering Practices¶

Good Engineering Practices

  • 2.1. Software Engineering Conventions
  • 2.2. The Zen of Python
  • 2.3. Code Smells
  • 2.4. ReST and Sphinx documentation

3. Tests¶

Tests

  • 3.1. Unit Testing
  • 3.2. Pytest

4. Debugging¶

Debugging

  • 4.1. Python WAT?!
  • 4.2. Logging
  • 4.3. Warnings
  • 4.4. Basic Debugging
  • 4.5. Advanced Debugging
  • 4.6. Introspection

5. Type Annotation¶

Type Annotation

  • 5.1. Type Checking
  • 5.2. Annotating existing code
  • 5.3. Introspection

6. CI/CD¶

CI/CD

  • 6.1. CI/CD Devtools Ecosystem
  • 6.2. CI/CD Tools
  • 6.3. CI/CD Pipelines
  • 6.4. Linters
  • 6.5. Behavioral Testing
  • 6.6. Code Style
  • 6.7. Code Coverage
  • 6.8. Internationalization
  • 6.9. DB Schema Migration
  • 6.10. Distributing
  • 6.11. Security
  • 6.12. Smoke Tests
  • 6.13. Static Code Analysis
  • 6.14. Test Automation
  • 6.15. Type Checking
  • 6.16. UI testing
  • 6.17. Mutation Testing
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© Copyright 2021, CC-BY-SA-4.0, Matt Harasymczuk <matt@astrotech.io>, last update: 2021-03-07 Revision baa7d834.

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