Python: From None to Machine Learning
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  • License
  • Python Versions
  • References in the Book
  • Survey
  • Python History
  • Further reading

Agenda

  • Python: Basics
  • Python: Intermediate (level 1)
  • Python: Intermediate (level 2)
  • Python: Advanced
  • Python: Design Patterns
  • Python: Test Driven Development
  • Python: DevOps, CI/CD
  • Python: Performance Optimization
  • Python: Data Science and Analysis
  • Python: Numpy
  • Python: Pandas
  • Python: Microservices
  • Python: Django
  • Python: FastAPI
  • Python: Flask
  • Python: Graphical User Interface

Install

  • 1. Install
  • 2. Install Python
  • 3. Install Git
  • 4. Install Github
  • 5. Install IDE
  • 6. Install Project
  • 7. Install Doctest

Basics

  • 1. About
  • 2. Syntax
  • 3. Types
  • 4. Iterables
  • 5. Unpack
  • 6. Mappings
  • 7. Conditional
  • 8. Loops
  • 9. Comprehensions
  • 10. Files
  • 11. Functions
  • 12. Exception
  • 13. OOP

Intermediate

  • 1. About
  • 2. Star
  • 3. Match
  • 4. Idiom
  • 5. Generators
  • 6. JSON
  • 7. CSV
  • 8. TOML
  • 9. Pickle
  • 10. Regex
  • 11. Datetime
  • 12. Enum
  • 13. Modules
  • 14. Logging
  • 15. Math
  • 16. Tests

Advanced

  • 1. About
  • 2. Syntax
  • 3. Typing
  • 4. Dataclass
  • 5. OOP
  • 6. Operator
  • 7. Protocol
  • 8. Functional
  • 9. Decorators
  • 10. Performance
  • 11. Multiprocessing
  • 12. Threading
  • 13. AsyncIO

Database

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

Design Patterns

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

Numpy

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

Pandas

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

Matplotlib

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

Stdlib

  • 1. Modules
  • 2. Collections
  • 3. Math
  • 4. Locale
  • 5. Pickle
  • 6. XML
  • 7. Operating System
  • 8. Builtin
  • 9. Loop
  • 10. Performance
  • 11. TKInter

DevOps

  • 1. About
  • 2. Quality
  • 3. Tests
  • 4. Debugging
  • 5. CI/CD

Network

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

Microservices

  • 1. About
    • 1.1. Entry Test
    • 1.2. Agenda
    • 1.3. Certificate
  • 2. Protocol
    • 2.1. HTTP About
    • 2.2. HTTP Identifier
    • 2.3. HTTP Method
    • 2.4. HTTP Header
    • 2.5. HTTP MIME Types
    • 2.6. HTTP Status
    • 2.7. HTTP API Versioning
    • 2.8. HTTP 2.0
    • 2.9. HTTPS
    • 2.10. Gateway Interface
  • 3. Microservices
    • 3.1. Microservices About
    • 3.2. Microservices Architecture
    • 3.3. Microservices Distributed Systems
    • 3.4. Microservice Reactive
    • 3.5. Microservice Cloud
    • 3.6. Microservice API
    • 3.7. Microservice Problems
    • 3.8. Microservice Event
    • 3.9. Microservice Lifecycle
    • 3.10. Microservices Choreography
    • 3.11. Microservice Discovery
    • 3.12. Microservice Runtime
    • 3.13. Microservice Database
    • 3.14. Microservices Good Practices
  • 4. Auth
    • 4.1. Auth Basic
    • 4.2. Auth JSON Web Token
    • 4.3. Passkey

Django

  • 1. About
  • 2. Conf
  • 3. Models
  • 4. Admin
  • 5. ORM
  • 6. Views
  • 7. Utils
  • 8. API
  • 9. DevOps
  • 10. Async

FastAPI

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

Data Science

  • 1. About
  • 2. Jupyter
  • 3. Python
  • 4. 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
  • 13. Articles

OOP

  • 1. Paradigm
  • 2. Python

Dragon

  • 1. English
  • 2. Polish
  • 3. ADR
Python: From None to Machine Learning
  • 1. About
  • Edit on GitHub

1. About¶

About

  • 1.1. Entry Test
  • 1.2. Agenda
  • 1.3. Certificate

2. Protocol¶

Protocol

  • 2.1. HTTP About
  • 2.2. HTTP Identifier
  • 2.3. HTTP Method
  • 2.4. HTTP Header
  • 2.5. HTTP MIME Types
  • 2.6. HTTP Status
  • 2.7. HTTP API Versioning
  • 2.8. HTTP 2.0
  • 2.9. HTTPS
  • 2.10. Gateway Interface

3. Microservices¶

Microservices

  • 3.1. Microservices About
  • 3.2. Microservices Architecture
  • 3.3. Microservices Distributed Systems
  • 3.4. Microservice Reactive
  • 3.5. Microservice Cloud
  • 3.6. Microservice API
  • 3.7. Microservice Problems
  • 3.8. Microservice Event
  • 3.9. Microservice Lifecycle
  • 3.10. Microservices Choreography
  • 3.11. Microservice Discovery
  • 3.12. Microservice Runtime
  • 3.13. Microservice Database
  • 3.14. Microservices Good Practices

4. Auth¶

Auth

  • 4.1. Auth Basic
  • 4.2. Auth JSON Web Token
  • 4.3. Passkey
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© Copyright 2023, CC-BY-SA-4.0, Matt Harasymczuk <matt@astronaut.center>, last update: 2023-12-04. Revision 58f9026f.

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