Advanced Python for SDE
SDE-focused advanced Python topics: package publishing, deployment strategies, message queues and Celery, and security best practices.
SDE-focused advanced Python topics: package publishing, deployment strategies, message queues and Celery, and security best practices.
SDET-focused advanced Python topics: advanced testing, automation frameworks, mocking and patching, CI/CD integration, and async testing.
SRE-focused advanced Python topics: infrastructure automation, monitoring and observability, incident response, chaos testing, and security.
Milestone-by-milestone Python syllabus for SRE, SDET, and SDE — core foundations first, then role-specific tracks.
How the Python learning path fits together — which document to read when, the milestone flow, the portfolio you build, and troubleshooting.
A working mini-project for each core Python milestone, plus role-specific project tracks and a progress template.
Habits that make Python code easier to read, test, change, and run safely — naming, functions, errors, logging, security, testing, and a pre-commit checklist.
The full Python learning path in one document — objectives, topics with code, mini-projects, role tracks, and troubleshooting.
How Python fundamentals map to building software — data models, config, REST APIs, repositories, DI, retries, async, background jobs, and packaging.
How Python fundamentals map to test engineering — pytest, fixtures, mocking, page objects, flaky-test waits, factories, reporting, and CI.
How Python fundamentals map to reliability work — safe CLIs, log parsing, health checks, metrics, SLOs, Kubernetes automation, runbooks, and chaos.
Python's core ideas in plain words, level by level — from values and collections to classes, modules, advanced constructs, testing, and a glossary.
Copy-paste reference for everyday Python 3 — data types, strings, collections, flow control, functions, files, classes, regex, and more.
End-to-end reference for Python — core language, data structures, OOP, concurrency, decorators/generators, error handling, testing, ops/DevOps automation scripting (subprocess, argparse, requests, boto3, SSH fleets), and interview-ready Q&A.
Which Python skills matter most for SDET, SDE, and SRE roles, and how to use the role guides after learning the core language.