Complete track · self-paced · project-driven

The Complete Python Course, beginning to mastery.

From “what is a variable?” all the way to shipping production-grade Python and understanding how the language runs under the hood. You learn by building — every section ends with you writing code, not just reading about it.

6parts
27sections
95lessons
4projects
~80hest. time
Start the course1.1 — What Is Programming & Why Python
Start →View dashboard

The journey — six ascending stages

I

PART I

Foundations

Absolute beginner → Confident beginner

4 sections0%
II

PART II

Core Python

Confident beginner → Intermediate

5 sections0%
III

PART III

OOP & Advanced

Intermediate → Advanced

4 sections0%
IV

PART IV

Professional

Advanced → Production-ready

7 sections0%
V

PART V

Applied & Specialize

Expert tracks — pick your paths

5 sections0%
VI

PART VI

Mastery

Expert → Mentor

2 sections0%

Full curriculum

I

Foundations

Absolute beginner → Confident beginner
0%
1  Getting Started: Your Programming Mindset4 lessons
1.1What Is Programming & Why Pythonopen →
1.2Python's Story & Ecosystemopen →
1.3Setting Up Your Workshopopen →
1.4Running Your First Codeopen →
2  The Building Blocks: Variables, Types & I/O4 lessons
2.1Variables & Memoryopen →
2.2Core Data Typesopen →
2.3Working with Numbersopen →
2.4Talking to the Useropen →
3  Strings in Depth3 lessons
3.1String Fundamentalsopen →
3.2Indexing & Slicingopen →
3.3String Methods & Formattingopen →
4  Making Decisions: Control Flow3 lessons
4.1Conditional Logicopen →
4.2Pattern Matchingopen →
4.3Loops & Iterationopen →
Milestone project

The Console Game Pack

Build a Python console game pack: a number guessing game plus tip and grade calculators using input, types, conditionals, and loops.

II

Core Python

Confident beginner → Intermediate
0%
5  Collections: Lists & Tuples3 lessons
5.1Listsopen →
5.2Tuplesopen →
5.3Iterating & Transformingopen →
6  Collections: Dictionaries & Sets3 lessons
6.1Dictionariesopen →
6.2Setsopen →
6.3Choosing the Right Data Structureopen →
7  Functions: Writing Reusable Code5 lessons
7.1Defining & Calling Functionsopen →
7.2Arguments in Depthopen →
7.3Scope & Lifetimeopen →
7.4Functions as First-Class Citizensopen →
7.5Type Hintsopen →
8  Modules, Packages & the Standard Library4 lessons
8.1Using Modulesopen →
8.2A Tour of the Standard Libraryopen →
8.3Building Your Own Modules & Packagesopen →
8.4The Ecosystem: pip & Virtual Environmentsopen →
9  Files, Errors & Robust Programs3 lessons
9.1File Handlingopen →
9.2Structured Data Filesopen →
9.3Errors & Exceptionsopen →
Milestone project

The Persistent Tracker

Build a Python expense tracker that stores records in JSON, loads them back, and handles bad input with functions and exceptions.

III

Object-Oriented & Advanced Python

Intermediate → Advanced
0%
10  OOP: Fundamentals3 lessons
10.1Thinking in Objectsopen →
10.2Classes & Instancesopen →
10.3Encapsulationopen →
11  OOP: Advanced5 lessons
11.1Inheritanceopen →
11.2Polymorphism & Abstractionopen →
11.3Multiple Inheritance & MROopen →
11.4Special (Dunder) Methodsopen →
11.5Modern Class Toolingopen →
12  Advanced Language Features5 lessons
12.1Iterators & Generatorsopen →
12.2Decoratorsopen →
12.3Context Managersopen →
12.4Functional Programmingopen →
12.5Pythonic Power Toolsopen →
13  Working with Text & Time2 lessons
13.1Regular Expressionsopen →
13.2Dates, Times & Time Zonesopen →
Milestone project

The OOP System

Build a Python OOP system with classes, inheritance, dunder methods, decorators, regex validation, and datetime due dates.

IV

Professional Python

Advanced → Production-ready
0%
14  Writing Clean, Professional Code3 lessons
14.1Style & Idiomsopen →
14.2Documentation & Readabilityopen →
14.3Tooling for Qualityopen →
15  Debugging, Logging & Profiling3 lessons
15.1Debugging Like a Proopen →
15.2Loggingopen →
15.3Performance & Profilingopen →
16  Testing & Test-Driven Development4 lessons
16.1Testing Fundamentalsopen →
16.2unittestopen →
16.3pytestopen →
16.4Going Deeperopen →
17  Concurrency, Parallelism & Async3 lessons
17.1The Landscapeopen →
17.2Threads & Processesopen →
17.3Asynchronous Pythonopen →
18  Packaging, Environments & Distribution3 lessons
18.1Modern Environment Managementopen →
18.2Structuring a Real Projectopen →
18.3Packaging & Publishingopen →
19  Version Control with Git & Collaboration5 lessons
19.1Git Fundamentalsopen →
19.2Working with Changesopen →
19.3Branching & Mergingopen →
19.4Collaboration with GitHubopen →
19.5Automation with CI/CDopen →
20  Using AI as a Developer3 lessons
20.1AI as Your Pair Programmeropen →
20.2Working with AI Effectivelyopen →
20.3Using AI Responsiblyopen →
V

Applied Python & Specializations

Expert tracks — pick your paths
0%
21  Data Analysis & Scientific Python4 lessons
21.1NumPyopen →
21.2pandasopen →
21.3Visualizationopen →
21.4The Data Workflowopen →
22  Databases & Persistence4 lessons
22.1SQL Foundationsopen →
22.2Python & Databasesopen →
22.3ORMsopen →
22.4NoSQL & Beyondopen →
23  Web Development & APIs4 lessons
23.1How the Web Worksopen →
23.2Consuming APIs & Web Scrapingopen →
23.3Building Web Apps & APIsopen →
23.4Deploymentopen →
24  Automation, Scripting & CLI Tools3 lessons
24.1Automating the Boring Stuffopen →
24.2Building Real CLI Toolsopen →
24.3Interacting with the Worldopen →
25  A Taste of AI & Machine Learning3 lessons
25.1The ML Landscape with Pythonopen →
25.2Your First Modelsopen →
25.3Building with AI APIsopen →
VI

Mastery

Expert → Mentor
0%
26  Under the Hood: How Python Really Works3 lessons
26.1The Execution Modelopen →
26.2The Advanced Object Modelopen →
26.3Performance & Beyond Pure Pythonopen →
27  Design, Architecture & Craftsmanship3 lessons
27.1Design Patterns in Pythonopen →
27.2Principles of Good Designopen →
27.3Becoming a Python Professionalopen →
Milestone project

Ship Something Real

Choose a Python capstone track and ship it end to end: design, build, test, document, version with Git, package, and present it.

Completed In progress Upcoming🏆 Project — hands-on build💡 Insight — usually skipped elsewhere⚠️ Trap — classic mistake to learn early

Final exam & certificate

The Python Final Exam

60 questions (45 MCQ + 15 coding) in 120 minutes, graded the moment you submit — your code included. Score 70%+ to earn a shareable, verifiable Certificate of Completion. Free, like the rest of the course.

Unlocks at 70% course completion · unlimited retakes · distinction at 90%+

Go to the exam →