About Python Developer
Python is one of the most widely used languages in the world, and this course takes
you from writing your first script to shipping production services, in the order most
developers actually learn it. It starts with Python Fundamentals
(syntax, control flow, and functions), then Data Structures &
Algorithms and OOP & Functional Python so you can model
problems and write clean, idiomatic code.
Next comes Environments & Packaging, where you learn virtual
environments, dependency management, type hints, and linting, followed by
Version Control & Repo Hosting so every project you build is
tracked and shareable. Standard Library & Errors then covers file
handling, exceptions, logging, and the built-in modules that save you from
reinventing the wheel.
From there, Databases & ORMs covers SQL, PostgreSQL, and
SQLAlchemy, while Web Frameworks & APIs covers building REST
services with FastAPI, Flask, and Django.
Finally, Testing & CI/CD covers pytest, mocking, and automated
pipelines, and Async & Deployment covers asyncio, concurrency,
Docker, and getting your code running in production: the skills that separate a
script from a dependable application.
Content
10 modules
01
Python Fundamentals
Installing Python and writing your first programs: variables, types, operators, control flow, functions, and reading user input.
SyntaxFunctionsControl Flow
02
Data Structures & Algorithms
Working with lists, tuples, dictionaries, and sets, writing comprehensions, and reasoning about sorting, searching, and Big O.
Lists & DictsComprehensionsBig O
03
OOP & Functional Python
Designing with classes, inheritance, and dataclasses, then writing expressive code with decorators, generators, and lambdas.
ClassesDecoratorsGenerators
04
Environments & Packaging
Isolating projects with virtual environments, managing dependencies, structuring packages, and keeping code tidy with type hints and linters.
venvpip / uvType Hints
05
Version Control & Repo Hosting
Tracking changes with Git, branching, and collaborating on code through GitHub or GitLab.
GitGitHubGitLab
06
Standard Library & Errors
Reading and writing files, handling exceptions, logging, and using built-in modules for paths, dates, JSON, and regular expressions.
File I/OExceptionspathlib
07
Databases & ORMs
Modelling data, writing SQL, and using SQLAlchemy to talk to PostgreSQL or SQLite, including schema migrations.
SQLSQLAlchemyMigrations
08
Web Frameworks & APIs
Building RESTful APIs with FastAPI or Flask, understanding where Django fits, and handling validation, auth, and consuming third-party APIs.
FastAPIFlaskDjango
09
Testing & CI/CD
Writing unit and integration tests with pytest, using fixtures and mocks, then automating checks and deploys with a CI/CD pipeline.
pytestMockingGitHub Actions
10
Async & Deployment
Handling concurrent work with asyncio, threads, and processes, then containerizing and deploying your application to production.
asyncioDockerDeployment
What You Can Do After This Course
By the end of the curriculum you'll have worked through 5 hands-on projects and
covered the core of what a junior to mid-level Python role expects. Concretely,
you'll be able to:
Write clean, idiomatic Python: use the right data structures, comprehensions, and functions to solve problems clearly.
Design with objects and functions: structure programs with classes, dataclasses, decorators, and generators.
Manage real projects: set up virtual environments, handle dependencies, add type hints, and track everything with Git and GitHub.
Handle files and failures: read and write data, raise and catch exceptions, and log what your code is doing.
Work with data stores: design relational schemas, write SQL, and use SQLAlchemy with migrations.
Build and ship APIs: create RESTful services with FastAPI or Flask, secured and validated.
Make it reliable and deployable: test with pytest, automate with CI/CD, use asyncio where it helps, and deploy in Docker containers.