• Software Engineering with Python
• Contents
• Important Skills
• Computer Science Basics
• Start Learning Python
• Problem solving & Practical tasks
• Discover Python libraries
• Databases: SQL, NoSQL
• Advanced Python
• Web Development
• Backend Development
• Modern Async & Web Frameworks
• Load Testing, Profiling & Observability
• AI Engineering & Agent Infrastructure

python-programming

Rustam-Z ⋅ 13 days ago

Software Engineering with Python

Learn and code every day! Take notes.
Learn to ask GOOD questions.
Learn to prioritize tasks. Focus on 1 thing!
Build something, anything. Build projects that bring some benefit to you or the people around you.
Take small steps, but every day, consistency is very important.

Contents

• Important Skills
• Computer Science Basics
• Start Learning Python
• Discover some Python libraries
• Databases: SQL, NoSQL
• Web Development
• *Advanced Python

Important Skills

1. Algorithms and data structures
2. Programming mindset - analytical, problem-solving mindset
3. Know your programming language

Computer Science Basics

• Harvard CS50 - Scratch, C, Arrays, Algorithms, Memory, Data structures, Python, SQL, HTML, CSS, JavaScript, Flask
• Crash Course Computer Science

Start Learning Python

Learn the basics, watch a couple of tutorials, read articles, and then build projects using Python. Learn by building. Start from building console applications, then learn how to build desktop apps, then web apps.

• 11 Beginner Tips for Learning Python Programming
• freeCodeCamp.org - Python beginning
• freeCodeCamp.org - Python intermediate
• 30-Days-Of-Python
• Программирование на Python
• Corey Schafer, focus MORE on this!
• Readings:
• Easy practical Python
• w3schools.com
• programiz.com
• pythontutorial.net - Python Basics and Python Advanced sections
• *python-course.eu - only Python Tutorial section
• *realpython.com
• OOP in Python:
• by Caleb Curry
• by Corey Schafer
• python-course.eu
• pythontutorial.net
• Books:
• Python Basics: A Practical Introduction to Python 3
• Python Tricks: A Buffet of Awesome Python Features

Problem solving & Practical tasks

• https://github.com/Rustam-Z/cpp-programming
• https://github.com/darkprinx/break-the-ice-with-python

Discover Python libraries

• File handling: txt, json, csv, yaml
• Working with paths with pathlib and OS with os
• Sending HTTP requests and receiving HTTP responses with requests
• Building CLI with argparse
• Working with data collections, itertools
• Learn web scraping using beautiful-soup and Selenium

Databases: SQL, NoSQL

• SQL
• sqlbolt.com
• w3schools.com
• sqltutorial.org
• sqlite, sqlalchemy
• Introduction to working with databases in Python
• Relationships: One-to-One, One-to-Many, Many-to-Many
• Data normalization

Advanced Python

• Modern Python Tooling & Package Management
• uv for ultra-fast dependency resolution, Python version management, and virtual environment creation.
• ruff linter and formatter replacing flake8, black, and isort
• Dependency Management: lockfile workflows (e.g., uv pip compile or pyproject.toml standards)
• Clean code:
• PEP 8 - Style Guide for Python Code
• clean-code-python
• testdriven.io
• "Clean code in Python" book
• LinkedIn Learning: Clean coding practices
• typing
• dataclasses
• Clean design:
• Design principles: KISS, DRY, SOLID
• Design patterns
• Concurrency, parallelism, asynchronicity programming:
• Concurrency and parallelism
• realpython.com
• LinkedIn Learning: Part 1
• LinkedIn Learning: Part 2
• Clean Architecture & Domain-Driven Design (DDD): decoupled architectures (Ports and Adapters / Hexagonal) in Python to separate core domain logic from framework-specific code (Django/FastAPI models).
• Advanced topics:
• python-course.eu
• book.pythontips.com/
• Python topics for Senior developers
• Python best practices - realpython.com
• Medium blog
• thedigitalcatonline.com
• Python 3 Patterns, Recipes and Idioms
• Books:
• "Fluent Python"
• "Python Cookbook"
• "Learning Python"
• "Effective Python"
• "Advanced Guide to Python 3"
• "Mastering Object-Oriented Python"
• "Expert Python Programming" 2021
• "High-performance Python"
• "Practices of the Python Pro"
• "The Python workshop"
• "Python Workout"
• "Clean Python"
• “Python Automation Cookbook” 2nd edition, Jaime Buelta
• Testing:
• unittest, pytest
• "Python testing with PyTest" book
• “Python testing with Selenium”
• “TDD in Python”
• “Python Unit Test Automation“

Web Development

• Understand how the Internet works, OSI & TCP/IP models, DNS, HTTP, REST API.
• HTML, CSS, JavaScript
• Web design in 4 minutes
• CS50: Web Programming Course
• Learn Django or Flask
• Mozilla Developer Network, Django
• Django girls
• "Flask Web Development" Miguel Grinberg
• "Building REST APIs with Flask" Kunal Relan
• See how others build projects using Django, then build your own app.
• Corey Schafer
• Dennis Ivy
• Building REST API
• Books:
• "Django for beginners" by Vincent W.
• "Django for APIs" by Vincent W.
• "Django 3 by Examples"

Backend Development

Need to know:

1. HTTP, TCP/IP, REST API, requests library, JSON
2. Python libraries: Requests, SQLAlchemy, JSON, XML, CSV
3. Web framework: django, building rest APIs
4. Working with databases
5. Tools: message queues, Redis, Celery

Books:

• "Django for Beginners"
• “Two Scoops of Django 3.x”
• "Django 3 Web Development Cookbook"
• "Django for Professionals"
• "Django for APIs"
• https://wsvincent.com/django-rest-framework-tutorial/

Courses by Hussein Naseer:

• https://backend.win
• Fundamentals of Network Engineering https://network.husseinnasser.com
• Fundamentals of Backend Engineering https://backend.win
• Unlocking Peak Backend Performance https://performance.husseinnasser.com
• Fundamentals of Database Engineering https://database.husseinnasser.com
• Introduction to NGINX https://nginx.husseinnasser.com
• Python on the Backend https://python.husseinnasser.com

Modern Async & Web Frameworks

• FastAPI & Async Engine: learn asyncdef, pydantic schemas, and ASGI servers (uvicorn, granian)
• Asynchronous ORMs & DB Drivers: asyncpg, SQLAlchemy 2.0 async sessions, and tortoise-orm for non-blocking database I/O
• API Specifications: OpenAPI (Swagger), gRPC (Protobufs for microservices), and GraphQL alongside standard REST APIs

Load Testing, Profiling & Observability

• Load Testing: Locust (Python-based load testing framework) to stress-test endpoints under concurrent traffic
• Profiling & Performance: profiling tools (cProfile, py-spy, memory_profiler) for diagnosing bottlenecks and memory leaks in production
• Telemetry & Logging: structlog and OpenTelemetry / Sentry integrations.

AI Engineering & Agent Infrastructure

• AI Tooling & SDK Integration: building with official LLM SDKs, structured outputs (pydantic function calling), and vector stores (pgvector, Qdrant)
• Agentic Frameworks & Context Protocols: build AI agents (e.g., model context protocol integrations, agent harnesses, Telegram bot workflows) using Python.