Python Core
Variables, types, control flow, comprehensions, functions, decorators, generators, context managers, idiomatic Python.
A hands-on Python curriculum covering core language, OOP, modern frameworks (Django, Flask, FastAPI), database ORM, testing with pytest, async / concurrency, API design, packaging, and deployment — delivered by senior US Python engineers who ship production services.
Each tool taught with the workflows and failure modes practitioners actually meet on the job.
First half of the curriculum — core fundamentals and the most common day-to-day skills.
Variables, types, control flow, comprehensions, functions, decorators, generators, context managers, idiomatic Python.
Classes, inheritance, magic methods (dunder), data classes, ABCs, type hints, protocols, structural typing.
collections, itertools, functools, pathlib, datetime, logging, argparse, json, subprocess, asyncio basics.
Fixtures, parametrize, mocking, async tests, coverage, TDD, property-based testing with hypothesis.
Routes, request/response, templates (Jinja2), forms, sessions, blueprints, deployment behind Gunicorn.
Second half — production patterns, real-world operations, and the senior-level depth.
Path/query/body params, Pydantic schemas, dependency injection, OpenAPI auto-docs, OAuth2, background tasks.
Models, ORM, admin, views, URL routing, templates, forms, REST framework, Celery integration.
asyncio, async/await, threading vs. multiprocessing vs. async, GIL, real-world async patterns.
Poetry, pyproject.toml, virtual envs, publishing to PyPI, semver, building wheels.
Docker, Uvicorn + Gunicorn, env config, logging, observability, deploying to AWS / Render / Fly.io.
techventive.io turns this curriculum into job-ready positioning — project explanation, résumé and LinkedIn rewrites, GitHub portfolio polish, technical interview preparation, and placement-focused guidance through to the offer letter.
Freshers, working professionals, managers, career switchers, and aspirants who want a practical, job-focused path.