Python: From None to Machine Learning
latest
  • License
  • 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
    • 1.1. Matplotlib About
  • 2. Figure
    • 2.1. Matplotlib Plots
    • 2.2. Matplotlib Subplots
    • 2.3. Matplotlib Style
    • 2.4. Matplotlib Scales
    • 2.5. Matplotlib Config
    • 2.6. Interactive
    • 2.7. Import/Export
  • 3. Style
    • 3.1. How to understand charts?
    • 3.2. Plot Styles
  • 4. Chart
    • 4.1. Line Chart
    • 4.2. Scatter Plot
    • 4.3. Bar Chart
    • 4.4. Histogram
    • 4.5. Box Chart
    • 4.6. Stacked Plot
    • 4.7. Pie Chart
    • 4.8. 3D Charts
  • 5. Advanced
    • 5.1. Advanced Styling
    • 5.2. Basic customizations
    • 5.3. Multiple figures and plots
    • 5.4. Animation
  • 6. Recap
    • 6.1. Matplotlib Examples
    • 6.2. Matplotlib Plot Lifecycle
    • 6.3. Case Studies
    • 6.4. Assignments

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
  • 10.2. Further reading
  • 2. Books
  • 3. Video
  • 4. Python 2 vs. 3
  • 5. Python Intermediate
  • 6. Python in Networking
  • 7. Django Framework
  • 8. Python in Testing
  • 9. Python in Science and Engineering
  • 10. Python in Machine Learning
  • 11. References
Python: From None to Machine Learning
  • Docs »
  • 1. About
  • Edit on GitHub

1. About¶

Matplotlib¶

  • 1.1. Matplotlib About

2. Figure¶

Matplotlib¶

  • 2.1. Matplotlib Plots
  • 2.2. Matplotlib Subplots
  • 2.3. Matplotlib Style
  • 2.4. Matplotlib Scales
  • 2.5. Matplotlib Config
  • 2.6. Interactive
  • 2.7. Import/Export

3. Style¶

Matplotlib¶

  • 3.1. How to understand charts?
  • 3.2. Plot Styles

4. Chart¶

Matplotlib¶

  • 4.1. Line Chart
  • 4.2. Scatter Plot
  • 4.3. Bar Chart
  • 4.4. Histogram
  • 4.5. Box Chart
  • 4.6. Stacked Plot
  • 4.7. Pie Chart
  • 4.8. 3D Charts

5. Advanced¶

Matplotlib¶

  • 5.1. Advanced Styling
  • 5.2. Basic customizations
  • 5.3. Multiple figures and plots
  • 5.4. Animation

6. Recap¶

Matplotlib¶

  • 6.1. Matplotlib Examples
  • 6.2. Matplotlib Plot Lifecycle
  • 6.3. Case Studies
  • 6.4. Assignments
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© Copyright 2021, CC-BY-SA-4.0, Matt Harasymczuk <book-python@astrotech.io>, last update: 2021-01-15 Revision cc6c9abe.

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