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
    • 1.1. Setup
    • 1.2. Entry Test
    • 1.3. Agenda
  • 2. Annotation
    • 2.1. Type Annotation
    • 2.2. Annotation Sequence
    • 2.3. Annotation Mapping
    • 2.4. Function Type Annotation
    • 2.5. Annotation OOP
  • 3. Unpacking
    • 3.1. Unpacking Assignment
    • 3.2. Unpacking Parameters
    • 3.3. Unpacking Arguments
    • 3.4. Assignment Expression
  • 4. Functions
    • 4.1. Parameter Syntax
    • 4.2. Generators
    • 4.3. Namespace
    • 4.4. Functional Paradigm
    • 4.5. Callable
    • 4.6. Closures
  • 5. Decorators
    • 5.1. Decorators About
    • 5.2. Decorator Function with Func
    • 5.3. Decorator Function with Cls
    • 5.4. Decorator Function with Mth
    • 5.5. Decorator Class with Func
    • 5.6. Decorator Arguments
    • 5.7. Decorator Stdlib Functools
    • 5.8. Decorators Recap
  • 6. Object Oriented Programming
    • 6.1. OOP Principles
    • 6.2. OOP Mutability
    • 6.3. OOP Dataclass
    • 6.4. Static and Dynamic
    • 6.5. Access Modifiers
    • 6.6. Operators
    • 6.7. Inheritance vs. Composition
    • 6.8. Polymorphism
    • 6.9. Relations
    • 6.10. Abstract Class
    • 6.11. Object Identity
    • 6.12. Constructor
    • 6.13. S.O.L.I.D.
  • 7. Protocols
    • 7.1. Iterator
    • 7.2. Context Manager
    • 7.3. Staticmethod
    • 7.4. Classmethod
    • 7.5. Property
    • 7.6. Reflection
    • 7.7. Descriptor
  • 8. Performance
    • 8.1. Performance Optimization
    • 8.2. Micro-benchmarking
    • 8.3. Profiling
    • 8.4. Compilers and Interpreters
    • 8.5. Collections
    • 8.6. C Types
    • 8.7. C Modules
  • 9. Concurrency
    • 9.1. Concurrency Models
    • 9.2. Queues
    • 9.3. Threading
    • 9.4. Multiprocessing
    • 9.5. Async Programming
    • 9.6. AsyncIO
  • 10. Recap
    • 11.3. Further reading
    • 10.1. Recap
    • 10.2. Certificate

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
  • 2. Good Engineering Practices
  • 3. Tests
  • 4. Debugging
  • 5. Type Annotation
  • 6. CI/CD

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. Machine Learning Introduction
  • 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. Setup
  • 1.2. Entry Test
  • 1.3. Agenda

2. Annotation¶

Annotation

  • 2.1. Type Annotation
  • 2.2. Annotation Sequence
  • 2.3. Annotation Mapping
  • 2.4. Function Type Annotation
  • 2.5. Annotation OOP

3. Unpacking¶

Unpacking

  • 3.1. Unpacking Assignment
  • 3.2. Unpacking Parameters
  • 3.3. Unpacking Arguments
  • 3.4. Assignment Expression

4. Functions¶

Functions

  • 4.1. Parameter Syntax
  • 4.2. Generators
  • 4.3. Namespace
  • 4.4. Functional Paradigm
  • 4.5. Callable
  • 4.6. Closures

5. Decorators¶

Decorators

  • 5.1. Decorators About
  • 5.2. Decorator Function with Func
  • 5.3. Decorator Function with Cls
  • 5.4. Decorator Function with Mth
  • 5.5. Decorator Class with Func
  • 5.6. Decorator Arguments
  • 5.7. Decorator Stdlib Functools
  • 5.8. Decorators Recap

6. Object Oriented Programming¶

Object Oriented Programming

  • 6.1. OOP Principles
  • 6.2. OOP Mutability
  • 6.3. OOP Dataclass
  • 6.4. Static and Dynamic
  • 6.5. Access Modifiers
  • 6.6. Operators
  • 6.7. Inheritance vs. Composition
  • 6.8. Polymorphism
  • 6.9. Relations
  • 6.10. Abstract Class
  • 6.11. Object Identity
  • 6.12. Constructor
  • 6.13. S.O.L.I.D.

7. Protocols¶

Protocols

  • 7.1. Iterator
  • 7.2. Context Manager
  • 7.3. Staticmethod
  • 7.4. Classmethod
  • 7.5. Property
  • 7.6. Reflection
  • 7.7. Descriptor

8. Performance¶

Performance

  • 8.1. Performance Optimization
  • 8.2. Micro-benchmarking
  • 8.3. Profiling
  • 8.4. Compilers and Interpreters
  • 8.5. Collections
  • 8.6. C Types
  • 8.7. C Modules

9. Concurrency¶

Concurrency

  • 9.1. Concurrency Models
  • 9.2. Queues
  • 9.3. Threading
  • 9.4. Multiprocessing
  • 9.5. Async Programming
  • 9.6. AsyncIO

10. Recap¶

Recap

  • 11.3. Further reading
  • 10.1. Recap
  • 10.2. Certificate
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© Copyright 2021, CC-BY-SA-4.0, Matt Harasymczuk <matt@astrotech.io>, last update: 2021-04-13 Revision 60a98a5b.

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