Python syllabus

Introduction to Python

  • Setting up a development environment

  • Basic syntax and data types

  • Variables and operators

  • Control structures (e.g., if/else, for/while loops)

  1. Data Structures

    • Lists, tuples, and sets

    • Dictionaries and arrays

    • Working with data using built-in functions and methods

  2. Object-Oriented Programming

    • Introduction to classes and objects

    • Defining and using methods

    • Inheritance and polymorphism

  3. Working with Files

    • Reading and writing to files

    • Handling CSV, JSON, and XML data

  4. Modules and Packages

    • Importing and using external modules

    • Creating and distributing packages

  5. Working with Databases

    • Connecting to and querying a database

    • Storing and retrieving data using SQL

  6. Exception Handling

    • Understanding and handling exceptions

    • Creating and raising custom exceptions

  7. Advanced Topics (optional)

    • Regular expressions

    • Working with dates and times

    • Network programming

    • Multithreading

 

Additional topics

 

  1. Web development with Python

    • Using frameworks like Django or Flask

    • Creating and interacting with web APIs

    • Consuming and parsing data from web resources

  2. Scientific computing and data analysis

    • Working with numerical data using NumPy and SciPy

    • Plotting and visualizing data with matplotlib

    • Analyzing and manipulating data with Pandas

  3. Machine learning and artificial intelligence

    • Training and evaluating models with scikit-learn

    • Using deep learning libraries like TensorFlow or PyTorch

    • Natural language processing (NLP) and text analysis

  4. Game development

    • Creating games with Pygame or other libraries

    • Implementing game mechanics and AI

  5. System Programming

    • Interacting with the operating system and file system

    • Executing command-line programs

    • Working with processes and threads

  6. GUI development

    • Creating graphical user interfaces with tkinter or PyQt

    • Working with event-driven programming