Join the 'Python Language' Learning Programme.

Overview of Python Programming

Features and Benefits of Python

Python Installation and Setup

Understanding the Python Interpreter

Writing and Running Python Scripts

Keywords, Identifiers, and Data Types

Constants, Variables, and Scope

Input and Output Functions (printf, scanf)

Operators:

– Arithmetic Operators

– Relational and Logical Operators

– Bitwise Operators

– Increment and Decrement Operators

– Assignment Operators

Decision-Making Statements:

– if, if-else, else if

– Nested if Statements

– switch-case

Looping Statements:

– for, while, and do-while

– Nested Loops

– Infinite Loops

break, continue, and goto Statements

Defining and Calling Functions

Arguments and Parameters

Default and Keyword Arguments

Variable Scope and Lifetime

Lambda Functions

Modules and Packages

Standard Python Libraries

Lists: Creation, Operations, and Methods

Tuples: Characteristics and Operations

Dictionaries: Key-Value Pair Operations

Sets: Properties and Methods

String Handling and Formatting

Introduction to Classes and Objects

Attributes and Methods

Encapsulation, Inheritance, and Polymorphism

Magic Methods and Operator Overloading

Working with Class and Static Methods

Understanding Errors and Exceptions

try, except, and finally Blocks

Raising Exceptions

Custom Exception Classes

Reading and Writing Files

Working with File Objects

Managing File Permissions

Working with CSV and JSON Files

NumPy for Numerical Computing

Pandas for Data Manipulation

Matplotlib and Seaborn for Data Visualization

Introduction to Web Scraping with BeautifulSoup

Working with Databases using SQLite and SQLAlchemy

Decorators and Generators

Comprehensions: List, Dictionary, and Set

Multithreading and Multiprocessing

Using Python for Networking

Introduction to Testing (unittest, pytest)

Overview of Web Frameworks: Django and Flask

Building REST APIs

Introduction to Machine Learning Libraries: scikit-learn, TensorFlow, PyTorch

Basic Project Ideas:

  – Calculator

  – To-Do List Application

Intermediate Project Ideas:

  – Web Scraper

  – Data Visualization Dashboard

Advanced Projects:

  – Machine Learning Model Deployment

  – Flask-based Web Application

Suggested Textbooks:

  – Python Crash Course by Eric Matthes

  – Automate the Boring Stuff with Python by Al Sweigart

Online Resources:

  – Interactive Platforms (e.g., Codecademy, HackerRank)

  – Practice Challenges (e.g., LeetCode, CodeWars)