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)
Data Structures
Lists, tuples, and sets
Dictionaries and arrays
Working with data using built-in functions and methods
Object-Oriented Programming
Introduction to classes and objects
Defining and using methods
Inheritance and polymorphism
Working with Files
Reading and writing to files
Handling CSV, JSON, and XML data
Modules and Packages
Importing and using external modules
Creating and distributing packages
Working with Databases
Connecting to and querying a database
Storing and retrieving data using SQL
Exception Handling
Understanding and handling exceptions
Creating and raising custom exceptions
Advanced Topics (optional)
Regular expressions
Working with dates and times
Network programming
Multithreading
Additional topics
Web development with Python
Using frameworks like Django or Flask
Creating and interacting with web APIs
Consuming and parsing data from web resources
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
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
Game development
Creating games with Pygame or other libraries
Implementing game mechanics and AI
System Programming
Interacting with the operating system and file system
Executing command-line programs
Working with processes and threads
GUI development
Creating graphical user interfaces with tkinter or PyQt
Working with event-driven programming