Migrated Course (Version 1)¶

These pages are the complete Version 1 course, converted from the original single-file HTML edition into Markdown. Content is preserved as written; only the format has changed.

Why Python, and How It Runs¶

• Why Python Eats the World (and Your Career)
• Setting Up: Python 3.13, uv & the Modern Toolchain
• How Python Actually Runs: Interpreter, Bytecode & the REPL

Values, Variables & Expressions¶

• Variables, Objects & Dynamic Typing
• Numbers, Strings & Operators
• Type Hints: Python That Documents Itself

Making Decisions: Control Flow¶

• Conditionals & Boolean Logic
• Loops & Iteration
• Structural Pattern Matching (match/case)

Functions & the Functional Toolkit¶

• Functions, Arguments & Scope
• Comprehensions, Lambdas & the Iterator Protocol
• Closures & Decorators
• Generators & Lazy Evaluation

Data Structures That Carry Real Work¶

• Lists & Tuples
• Dictionaries & Sets
• Strings & Text Processing
• Choosing the Right Container

Files, Errors & the Outside World¶

• Files, pathlib & Context Managers
• Exceptions & Defensive Code
• Data Formats: JSON, CSV & Serialization

Object-Oriented Python¶

• Classes, Objects & State
• Inheritance, Composition & Dunder Methods
• Pythonic Design: Protocols, ABCs & SOLID

Concurrency, Parallelism & Performance¶

• async/await & asyncio
• Threads, Processes & the GIL
• Making Python Fast: Profiling & Optimization

Python Tooling & Data Fundamentals¶

• Packaging & Dependency Management with uv
• Testing with pytest
• Code Quality: ruff, mypy & Quality Gates
• NumPy & pandas Essentials

HTTP, REST APIs & Databases¶

• HTTP & Consuming REST APIs
• Building Services with FastAPI
• Databases & SQL with Python

CI/CD Foundations¶

• What CI/CD Actually Is
• Anatomy of a Pipeline
• GitHub Actions for Python, End-to-End
• The Enterprise CI/CD Landscape

Docker & Kubernetes¶

• Docker for Python: Images, Containers & the Dockerfile
• Registries & Supply-Chain Security
• Kubernetes: Orchestrating Containers at Scale

CI/CD Across Cloud, On-Prem & Hybrid¶

• Deploying to the Cloud: AWS, GCP & Azure
• On-Premises & Self-Hosted Deployment
• Hybrid Infrastructure: Bridging Both Worlds
• Infrastructure as Code, GitOps & Secrets

Designing Python Systems at Scale¶

• System Design Building Blocks
• Caching, Queues & Event-Driven Architecture
• Observability & Site Reliability Engineering

Cracking the Tier-1 Interview¶

• DSA in Python — The Patterns That Recur
• Coding-Round Walkthroughs & Method
• The Solutions-Consulting System-Design Interview
• Behavioral, Communication & the Offer

Capstone: A Service from Commit to Production¶

• End-to-End: Build, Test, Containerize, Ship, Observe