For Python Developers

Master APIs and build six portfolio projects.

Learn the skills typically required for €50k–€80k backend roles.

Build 6 Portfolio Projects end to end
Copy/Paste 800+ Code Examples

Written by Simon O'Connor

I wrote this book to solve a common problem in the industry: People can write Python but struggle to ship production-ready apps.

“I already work as a developer and I found it extremely helpful. The patterns and best practices are amazing. Highly recommended.”

— Eric M. Software Developer Beta Reader
Portfolio Ready

Six Projects That Get You Hired

These aren't tutorials: they're production-ready projects you'll use daily and show to recruiters with pride.

Project 1 Foundation

Production Weather CLI

Transform a fragile script into a resilient application. Master exponential backoff retry logic, three-tier validation, and structured logging.

Retry Logic Logging Error Handling
Project 2 Full-Stack

Spotify Music Time Machine

Build a personal SaaS app. Implement OAuth 2.0 flows, design SQLite schemas, and recover songs Spotify's algorithm buried.

OAuth 2.0 Database Design Flask
Project 3 API Producer

News Aggregator API

Stop using other people's data—architect your own. Create a production FastAPI service with OpenAPI docs, JWT auth, and rate limiting.

FastAPI Webhooks Async
Project 4 Enterprise DB

Enterprise Music Platform

Scale from prototype to production. Migrate to PostgreSQL, implement Alembic migrations, connection pooling, and optimized queries.

PostgreSQL Flask Chart.js
Project 5 DevOps

Cloud-Native News Service

Leave localhost behind. Containerize with Docker, deploy to AWS ECS Fargate, set up RDS, and automate CI/CD with GitHub Actions.

Docker AWS ECS CI/CD
Capstone
Project 6

Multi-Source Analytics Platform

Synthesize every skill in the book. Orchestrate async workers, webhook handlers, and cloud services into one production-grade microservices platform.

Microservices AWS Architecture

Complete Curriculum

"It is rigorous, practical, and deeply grounded in industry best practices." - Stack Press

Part I: Foundations (Chapters 1-7)

Skills Mastered:

Requests HTTP Methods JSON Parsing API Keys Environment Variables
  • Ch 1: How Modern Applications Really Work
  • Ch 2: Setting Up Your Development Environment
  • Ch 3: Your First API Call
  • Ch 4: Safe and Reliable API Requests
  • Ch 5: HTTP Methods (GET, POST, PUT, DELETE)
  • Ch 6: Introduction to JSON Parsing
  • Ch 7: Using API Keys Safely

Part II: Building Core Skills (Chapters 8-13)

Skills Mastered:

Error Handling Retry Logic Logging Pytest CLI Tools Multi-API
  • Ch 8: Project 1: Production Weather CLI
  • Ch 9: Production Error Handling
  • Ch 10: Advanced JSON Processing
  • Ch 11: Multi-API Coordination
  • Ch 12: API Data Validation
  • Ch 13: Production-Ready Weather Dashboard Capstone

Part III: Full-Stack Integration (Chapters 14-20)

Skills Mastered:

Flask OAuth 2.0 SQLite Jinja2 Chart.js Bootstrap Railway
  • Ch 14: OAuth and Authentication Fundamentals
  • Ch 15: Database Fundamentals with SQLite
  • Ch 16: Project 2: Spotify Music Time Machine
  • Ch 17: Web Development Fundamentals with Flask
  • Ch 18: Building the Analytics Dashboard (Chart.js)
  • Ch 19: Testing Your Application
  • Ch 20: Deploying to Production (Railway)

Part IV: Professional Techniques (Chapters 21-23)

Skills Mastered:

FastAPI Async/Await Webhooks REST APIs JWT OpenAPI
  • Ch 21: Project 3: News Aggregator API
  • Ch 22: Webhooks and Real-Time APIs
  • Ch 23: Asynchronous API Calls

Part V: Production & Cloud Deployment (Chapters 24-30)

Skills Mastered:

Docker PostgreSQL AWS ECS AWS RDS Load Balancers GitHub Actions CI/CD Alembic
  • Ch 24: Project 4: Enterprise Music Platform (SQLite → PostgreSQL)
  • Ch 25: Alembic Migrations and Production Rollouts
  • Ch 26: Project 5: Cloud-Native News Service
  • Ch 27: Docker and Container Fundamentals
  • Ch 28: AWS Production Infrastructure Deployment
  • Ch 29: Production Operations and Automation
  • Ch 30: Project 6 (Capstone): Multi-Source Analytics Platform

Technical Evaluation

Evaluated by: Stack Press using Gemini Pro 1.5
Version: 2026 Release Candidate
Methodology: Comprehensive Technical Critique

Extract:

Verdict: A Masterclass in Systems Engineering disguised as a Python Tutorial.

It effectively bridges the gap between a Junior Developer (who can write code) and a Mid-Level Engineer (who can build systems). It is rigorous, practical, and deeply grounded in industry best practices.

This is arguably the best 'Bridge to Senior Engineering' curriculum I have analyzed.

Price Recommendation:€150
Status: PASSED
Rating: ★★★★★
Based on analysis of 30 chapters, 847 code examples, and 6 production deployments
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Frequently Asked Questions

How is this different from a bootcamp?

Bootcamps cost €7,500+ and focus on speed over depth. This book teaches the same production patterns (OAuth, Docker, AWS) at your own pace for €35. You get lifetime access instead of a 12-week sprint.

Who is this book for?

It starts at beginner level and finishes at mid-level engineer. You need basic Python to begin (variables, functions, loops). By the end, you're building and deploying production applications with Docker, PostgreSQL, and AWS (the skills that separate junior developers from mid-level engineers).

What if I don't like it?

30-day money-back guarantee, no questions asked. If the book doesn't meet your expectations, simply email for a full refund.