Python Syllabus

Python is one of the most versatile and popular programming languages today, perfect for beginners and experienced developers alike. This Python syllabus is designed to guide you through the core topics and advanced concepts, ensuring you build a strong foundation in Python programming.

At The Coding College, we cover everything from the basics to advanced Python topics, helping you excel in your coding journey.

1. Introduction to Python

  • What is Python?
  • Features and Benefits of Python
  • Installing Python and Setting Up the Environment
  • Running Your First Python Program

2. Python Basics

  • Python Syntax and Indentation
  • Comments in Python
  • Variables and Data Types
  • Input and Output

3. Control Structures

  • if...else Statements
  • Loops: for and while
  • Break, Continue, and Pass

4. Data Structures

  • Lists
  • Tuples
  • Sets
  • Dictionaries

5. Functions and Modules

  • Defining and Calling Functions
  • Arguments and Return Values
  • Anonymous Functions (lambda)
  • Modules and Import Statements

6. Object-Oriented Programming (OOP)

  • Classes and Objects
  • Inheritance and Polymorphism
  • Encapsulation
  • Magic/Dunder Methods

7. Python File Handling

  • Reading and Writing Files
  • Working with Directories
  • Exception Handling in File Operations

8. Advanced Python Concepts

  • Decorators
  • Generators
  • Iterators
  • Context Managers

9. Python Libraries

  • NumPy for Numerical Computations
  • Pandas for Data Analysis
  • Matplotlib for Data Visualization
  • Flask and Django for Web Development

10. Python for Data Science

  • Introduction to Data Science with Python
  • Data Cleaning and Preprocessing
  • Working with DataFrames
  • Machine Learning Basics

11. Database Handling

  • MySQL with Python
  • MongoDB with Python
  • CRUD Operations with Databases

12. Error and Exception Handling

  • Types of Errors
  • Try, Except, Else, and Finally Blocks
  • Raising Exceptions

13. Python Networking

  • Introduction to Sockets
  • Creating a Simple Server
  • Python for Web Scraping

14. Python Projects

  • Building a Calculator
  • Developing a Simple Web App
  • Data Analysis Mini-Project
  • Automation Scripts

Learning Outcomes

By the end of this syllabus, you’ll be able to:

  • Write efficient Python programs.
  • Solve complex problems using Python’s data structures.
  • Build web applications and automate tasks.
  • Handle databases and work with APIs.
  • Apply Python in data science and machine learning projects.

Take the Next Step

Dive into each topic with tutorials, exercises, and quizzes at The Coding College. Our platform ensures you gain hands-on experience and practical skills in Python programming.

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