Python: From None to Machine Learning

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Agenda

1. Agenda

Agenda

1.1. Python: Basics
1.2. Python: Intermediate (level 1)
1.3. Python: Intermediate (level 2)
1.4. Python: Advanced
1.5. Python: Design Patterns
1.6. Python: Test Driven Development
1.7. Python: DevOps, CI/CD
1.8. Python: Performance Optimization
1.9. Python: Data Science and Analysis
1.10. Python: Numpy
1.11. Python: Pandas
1.12. Python: Microservices
1.13. Python: Django
1.14. Python: FastAPI
1.15. Python: Flask
1.16. 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

Python 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. Object Oriented Programming
14. Recap

Python Intermediate

1. About
2. Unpack
3. Idiom
4. Enum
5. Match
6. Type Annotation
7. Dataclass
8. JSON
9. CSV
10. Regular Expressions
11. Datetime and Timezones
12. Operator
13. Modules and Packages
14. Logging
15. Mathematics
16. Tests

Python Advanced

1. About
2. Syntax
3. Generators
4. Functional Programming
5. Decorators
6. Object Oriented Programming
7. Protocols
8. Performance
9. Concurrency
10. Recap

Database

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

Design Patterns

1. About
2. UML
3. Idiom
4. Type Annotation
5. Dataclass
6. Operator
7. Object Oriented Programming
8. Protocols
9. Decorators
10. Behavioral
11. Structural
12. Creational
13. Practices
14. Paradigms

Numpy

1. About
2. Create
3. Attributes
4. Indexing
5. Methods
6. Random
7. Operations
8. Statistics
9. Math
10. Polynomial
11. 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

Stdlib

1. Modules and Packages
2. Mathematics
3. Locale
4. Pickle
5. XML
6. Operating System
7. Builtin
8. Loop
9. Performance
10. TKInter

DevOps

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

Network

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

HTTP and Microservices

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

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. Use Cases
8. Appendix

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

Object Oriented Programming

1. Paradigm
2. Python
3. Dynamic Typing

Blogposts

1. Machine Learning Introduction

Dragon

1. Dragon v1.0
2. Dragon v2.0
3. Dragon v3.0
4. ADR Template
5. Dragon ADR Init Name
6. Dragon ADR Init Position
7. Dragon ADR Position Set
8. Dragon ADR Position Change
9. Dragon ADR Damage Make
10. Dragon ADR Damage Take

Writing Progress
References in the Book
Survey
Python History
10.1. Further reading

Python: From None to Machine Learning

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© Copyright 2023, CC-BY-SA-4.0, Matt Harasymczuk <matt@astrotech.io>, last update: 2023-03-24 Revision 8155e8f5.

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