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Python Programming Syllabus

A complete Python study path from core syntax and data structures through OOP, modules, and advanced libraries, modeled on the PCEP/PCAP/PCPP certification tracks. The full Python Programming syllabus: 6 subjects, 31 chapters and 121 topics, with 306 flashcards written against it.

6Subjects
31Chapters
121Topics
306Flashcards

Python Programming subjects

Python Programming has 6 subjects. Each one is listed below with its chapters in syllabus order; open a subject for every topic and sub-topic inside them.

Python Fundamentals

5 chapters · 22 topics · 50 flashcards

  1. Introduction to Python · 4 topics
  2. Variables, Data Types and Literals · 5 topics
  3. Operators and Expressions · 5 topics
  4. Input, Output and Formatting · 3 topics
  5. Control Flow · 5 topics

Data Structures and Collections

5 chapters · 21 topics · 50 flashcards

  1. Lists · 5 topics
  2. Tuples and Sequences · 4 topics
  3. Dictionaries · 5 topics
  4. Sets and Frozensets · 3 topics
  5. Strings as Sequences · 4 topics

Functions and Functional Programming

5 chapters · 16 topics · 50 flashcards

  1. Defining Functions · 3 topics
  2. Scope and Namespaces · 3 topics
  3. Lambda and Higher-Order Functions · 3 topics
  4. Iterators and Generators · 3 topics
  5. Closures and Decorators · 4 topics

Object-Oriented Programming

5 chapters · 18 topics · 50 flashcards

  1. Classes and Objects · 4 topics
  2. Inheritance and Polymorphism · 4 topics
  3. Encapsulation and Properties · 3 topics
  4. Special and Magic Methods · 3 topics
  5. Advanced Class Concepts · 4 topics

Modules, Packages and Error Handling

5 chapters · 20 topics · 51 flashcards

  1. Modules and Packages · 4 topics
  2. Package Management with pip · 3 topics
  3. Exception Handling · 4 topics
  4. File Handling and I/O · 5 topics
  5. The Python Standard Library · 4 topics

Advanced Topics and Applied Libraries

6 chapters · 24 topics · 55 flashcards

  1. Working with Data Formats · 4 topics
  2. Concurrency and Parallelism · 4 topics
  3. Testing and Debugging · 4 topics
  4. Network and Web Programming · 4 topics
  5. Data Science and Numerical Libraries · 4 topics
  6. Type Hints and Modern Python · 4 topics

Python Programming flashcards

306 question-and-answer cards across 6 subject decks, each shown in full on its subject page.

Python Programming syllabus FAQ

What subjects are in the Python Programming syllabus?

Python Programming covers 6 subjects: Python Fundamentals, Data Structures and Collections, Functions and Functional Programming, Object-Oriented Programming, Modules, Packages and Error Handling and Advanced Topics and Applied Libraries.

How many chapters and topics are in the Python Programming syllabus?

31 chapters and 121 topics, across 6 subjects. Advanced Topics and Applied Libraries is the largest subject, with 24 topics in 6 chapters.

Are there Python Programming flashcards?

Yes — 306 question-and-answer flashcards in 6 subject decks. Each deck is printed in full on its subject page here, and the same cards are in the Examius app with spaced repetition. The free plan covers one exam of your choice, including its flashcards; Examius Pro, a one-time purchase, unlocks every other exam and deck.

Backend Development syllabus

Design and build server-side applications, APIs, authentication, and database integration.

6 subjects · 36 chapters · 165 topics · 306 flashcards
Cloud Computing syllabus

Master cloud platforms, services, and architectures for building scalable, resilient, and cost-efficient on-demand infrastructure.

8 subjects · 42 chapters · 174 topics · 420 flashcards
CS50x: Introduction to Computer Science syllabus

Harvard's renowned introduction to computer science and the art of programming, covering algorithmic thinking and problem-solving with C, Python, SQL, and web technologies.

9 subjects · 37 chapters · 112 topics · 451 flashcards
Cybersecurity syllabus

Learn to protect systems and networks through security principles, threats, defenses, cryptography, and operational security practice.

7 subjects · 42 chapters · 158 topics · 391 flashcards
Data Structures & Algorithms syllabus

Master core data structures and algorithmic techniques for problem solving and technical interviews.

7 subjects · 33 chapters · 111 topics · 367 flashcards
freeCodeCamp syllabus

A free, project-based programming curriculum spanning web development, data science, and developer certifications, from responsive web design to machine learning.

8 subjects · 44 chapters · 145 topics · 400 flashcards
Frontend Web Development syllabus

Build modern, responsive, accessible user interfaces using HTML, CSS, JavaScript, and popular frameworks like React.

6 subjects · 34 chapters · 142 topics · 367 flashcards
Git & Version Control syllabus

Track changes, collaborate, and manage code with Git, branching, and pull request workflows.

7 subjects · 34 chapters · 127 topics · 367 flashcards
Mobile App Development syllabus

End-to-end study path for building native (iOS/Swift, Android/Kotlin) and cross-platform (React Native, Flutter) mobile apps, covering UI, data, networking, testing, and store deployment.

7 subjects · 38 chapters · 138 topics · 388 flashcards

Browse all 12 Programming syllabuses →