FastAPI stands out among modern Python web frameworks with auto-generated docs based on type hints, async support, and Node.js-level performance. This hands-on guide builds a complete CRUD API from scratch covering route definition, request validation, dependency injection, and database integration—master FastAPI essentials in 30 minutes.
Comprehensive Alembic (official SQLAlchemy migration tool) guide: env.py setup, autogenerate detecting model changes (fields, indexes, constraints), batch scripts, downgrade rollback strategies, plus standard SOP for multi-developer migration branch conflicts and divergent head merging, with production deploy checklist.
Production GitHub Actions pipeline from scratch: npm/pip cache, multi-version Node/Python matrix builds, Docker layer caching, Lint+Test+Build+Publish stages, conditional execution, env matrix, failure retry, and release gating best practices. Complete workflow YAML included.
Systematic test pyramid breakdown: bottom unit tests (many, fast, mock isolated), middle integration tests (real service/db/message interaction), top E2E tests (few, critical user flows). Recommended ratio 70/20/10, with coverage metrics and implementation playbook.
Build production-grade RAG from scratch: doc chunking (size + overlap windows), embedding model selection, vector DB retrieval filters, Reranker refining Top-K, plus citation grounding and prompt compression. Complete runnable code included.
Systematic prompt engineering primer covering three core techniques: Few-Shot examples for style injection, Chain-of-Thought for complex reasoning, JSON Schema enforced structured outputs for downstream systems. Includes real templates and anti-patterns.
Master DP: 5-step universal framework then 5 high-frequency templates: Knapsack, Subsequence, Interval DP, Bitmask DP, Tree DP, each with canonical code and variant keys.
Comprehensive JWT vulnerability playbook: alg confusion attacks, key brute force, KID injection, replay defenses. Compare OAuth2(+PKCE), OIDC, SAML 2.0 across dimensions for protocol selection.
Deep Python concurrency comparison: ThreadPool for IO-bound, ProcessPool bypassing GIL for CPU-bound, asyncio coroutines for ultra IO. 4-dimension decision tree with perf and complexity.
Master advanced Git: Interactive Rebase for history cleanup, Cherry-pick selective commit porting, Bisect binary-search bug regression hunting, reflog and reset recovery.
Three core caching patterns: Cache-Aside consistency, Write-Through atomic updates, Write-Behind async high-throughput writes, plus solutions for stampede, penetration, and avalanche.
