Developer career roadmap

Python Backend Developer Roadmap

Build Python APIs and Django applications with databases, tests, security, containers, and delivery automation.

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Dependency-aware sequence

1
Programming Foundations
Understand how programs process data, make decisions, repeat work, organize logic, and report errors, then build and debug a command-line application.
2
Command Line and Shell Essentials
Navigate files, run programs, combine commands, manage environment variables, and write safe shell scripts across major operating systems.
3
Git and GitHub
Track changes, create focused commits, work safely with branches, collaborate through pull requests, and recover from routine Git mistakes.
4
Python Fundamentals
Build, test, and debug useful Python programs with clear control flow, reusable functions, structured data, files, exceptions, packages, and classes.
5
Computer Networking Fundamentals
Explain how devices communicate, configure and troubleshoot basic IP networks, interpret DNS and DHCP behavior, and locate connection failures.
6
HTTP and APIs
Trace HTTP requests and responses, use common methods and status codes, work with JSON APIs, handle authentication, and diagnose communication failures.
7
SQL and Relational Databases
Design a relational schema, write reliable queries, update data safely, use transactions, and diagnose common correctness and performance problems.
8
Building APIs with Python
Build, validate, test, secure, and deploy a Python HTTP API with structured routes, persistence, authentication, reliability controls, and containers.

Project ladder

Stage 1

Build evidence that combines the skills from the roadmap stages you have completed.

Stage 2

Build evidence that combines the skills from the roadmap stages you have completed.

Stage 3

Build evidence that combines the skills from the roadmap stages you have completed.

Extend your capability

Build a database-backed Django application with templates, models, forms, authentication, permissions, tests, and production deployment.

Design useful tests, separate unit and integration concerns, test error behavior, recognize unreliable tests, and create a balanced test strategy.

Identify trust boundaries, validate untrusted input, protect credentials, apply authentication and authorization safely, and reduce common risks.

Build, run, secure, debug, connect, persist, test, and distribute containerized applications and multi-service development environments.