Python - from None to AI
  • License
  • Install
  • Python Versions
  • Python History
  • Links
  • References

1. Basics

  • 1. About
  • 2. Syntax
  • 3. Numeric
  • 4. Logic
  • 5. Strings
  • 6. Iterables
  • 7. Mappings
  • 8. Nested
  • 9. Unpack
  • 10. Conditional
  • 11. While
  • 12. For
  • 13. Comprehensions
  • 14. Files
  • 15. Functions
  • 16. Exceptions
  • 17. OOP
  • 18. Modules
  • 19. Recap

2. Intermediate

  • 1. About
  • 2. Syntax
  • 3. Star
  • 4. Enum
  • 5. Match
  • 6. Encoding
  • 7. Regex
  • 8. Datetime
  • 9. Idiom
  • 10. Iterator
  • 11. OOP
  • 12. Serialization
  • 13. Pickle
  • 14. TOML
  • 15. CSV
  • 16. JSON
  • 17. Pathlib
  • 18. Logging
  • 19. Modules
  • 20. Recap

3. Advanced

  • 1. About
  • 2. Syntax
  • 3. Typing
  • 4. OOP Dataclass
  • 5. OOP Paradigm
  • 6. OOP Inheritance
  • 7. OOP Abstract
  • 8. OOP Metaprogramming
  • 9. OOP Accessors
  • 10. OOP Operator
  • 11. FP Paradigm
  • 12. FP Apply
  • 13. FP Patterns
  • 14. Generators
  • 15. Async Paradigm
  • 16. Async AsyncIO

4. Performance

  • 1. About
  • 2. Multiprocessing
  • 3. Threading
  • 4. Optimization
  • 5. Case Study
  • 6. Extensions

5. Testing

  • 1. About
  • 2. Random
  • 3. Syntax
  • 4. Doctest
  • 5. Unittest
  • 6. Recap

6. CI/CD

  • 1. DevTools
  • 2. Distribute
  • 3. Lint
  • 4. Quality
  • 5. Security
  • 6. Webdev

7. DevOps

  • 1. About
  • 2. Quality
  • 3. Tests
  • 4. Debugging

8. Database

  • 1. About
  • 2. Theory
  • 3. ORM
  • 4. Normalization
  • 5. NoSQL
  • 6. SQL
  • 7. SQLite3
  • 8. SQLAlchemy
  • 9. Case Study

9. Design Patterns

  • 1. About
  • 2. UML
  • 3. OOP
  • 4. Inheritance
  • 5. Decorators
  • 6. Creational
  • 7. Behavioral
  • 8. Structural

10. Numpy

  • 1. About
  • 2. Array
  • 3. Attributes
  • 4. Random
  • 5. Indexing
  • 6. Operations
  • 7. Methods
  • 8. Statistics
  • 9. Math
  • 10. Polynomial

11. Pandas

  • 1. About
  • 2. Read
  • 3. To
  • 4. Series
  • 5. DataFrame
  • 6. Date
  • 7. Case Study

12. Matplotlib

  • 1. About
  • 2. Figure
  • 3. Style
  • 4. Chart
  • 5. Case Study

13. Stdlib

  • 1. Modules
  • 2. Collections
  • 3. Math
  • 4. Locale
  • 5. XML
  • 6. Operating System
  • 7. String
  • 8. Builtin
  • 9. Type
  • 10. Loop
  • 11. TkInter

14. Network

  • 1. About
  • 2. Protocol
  • 3. Web
  • 4. Transport
  • 5. Case Study

15. Microservices

  • 1. About
  • 2. HTTP
  • 3. Microservices
  • 4. Auth

16. Django

  • 1. About
  • 2. Setup
  • 3. Settings
  • 4. Models
  • 5. Admin
  • 6. ORM
  • 7. Views
  • 8. Templates
  • 9. Templatetags
  • 10. Forms
  • 11. Manage
  • 12. Locale
  • 13. Middleware
  • 14. Utils
  • 15. Auth
  • 16. API
  • 17. Ninja
  • 18. Tests
  • 19. Apps
  • 20. Deploy

17. FastAPI

  • 1. About
  • 2. FastAPI
  • 3. Pydantic
  • 4. Database
  • 5. Auth
  • 6. DevOps
  • 7. Case Study

18. Data Science

  • 1. About
  • 2. Jupyter
  • 3. Python
  • 4. Visualization
  • 5. Scipy
  • 6. Geopandas

19. 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
  • 13. Articles

20. Artificial Intelligence

  • 1. About

21. OOP

  • 1. Paradigm
  • 2. Python

22. Dragon

  • 1. English
  • 2. Polish
  • 3. ADR
Python - from None to AI
  • Install

Install

_images/trainings-python.png

Wybierz szkolenie na które idziesz.

Ścieżka główna:

  • Python/F - Python Basics

  • Python/MID - Python Intermediate

  • Python/ADV - Python Advanced

Ścieżka general purpose:

  • Python/DP - Python Design Patterns

  • Python/DevOps - Python DevOps and CI/CD

  • Python/OOP - Python Object Oriented Programming

  • Python/STDLIB - Python Standard Library

  • Python/TEST - Python Test and QA

Ścieżka webdev:

  • Python/Django - Python Django

  • Python/FastAPI - Python FastAPI

  • Python/DB - Python Database

  • Python/HTTP - Python HTTP and Microservices

Ścieżka data science:

  • Python/PANDAS - Python Design Patterns

  • Python/NUMPY - Python Design Patterns

  • Python/DS - Python Data Science

  • Python/ML - Python Machine Learning

  • Python/DV - Python Data Visualization with Matplotlib

  • Python/POLARS - Python Polars

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© Copyright 2025, Matt Harasymczuk <matt@python3.info>, last update: 2025-03-28.

Harasymczuk, Matt . Python - from None to AI. (2025) Analog Astronaut Training Center. ISBN: 978-83-957186-2-5. Revision: . Retrived: 2025-04-02. URL: https://python3.info/install.html