Course Information |

Introduction to Python
Setting up Python Environment (Installing Python, IDEs, Virtual Environments)
Basic Syntax: Variables, Data Types, Comments
Operators: Arithmetic, Comparison, Logical, and Assignment Operators
Control Flow: if, else, elif, and Nested Conditions
Loops: for, while, and Nested Loops
Functions: Defining Functions, Arguments, Return Values, Lambda Functions
Data Structures: Lists, Tuples, Sets, Dictionaries
String Manipulation: String Methods, String Formatting, f-strings
File Handling: Reading and Writing Files, File Modes, Context Manager
Error Handling: try, except, else, finally, Raising Exceptions
Modules and Packages: Importing Modules, Creating Packages, Standard Library
Object-Oriented Programming (OOP): Classes, Objects, Inheritance, Polymorphism
Decorators and Generators
Regular Expressions (Regex): Search, Match, and Replace
Python Libraries: NumPy, Pandas, Matplotlib, Requests
Database Connectivity: SQLite, MySQL, PostgreSQL
Web Scraping: Using BeautifulSoup, Requests
Python and REST APIs: Using Flask/Django for Web Development
Unit Testing: Writing Test Cases with unittest and pytest
Virtual Environments: Working with virtualenv and pip
Multithreading and Multiprocessing
Python for Data Science: NumPy, Pandas, Data Preprocessing
Python for Machine Learning: scikit-learn, TensorFlow (Introductory)
Working with APIs in Python (RESTful APIs)
File Formats: JSON, CSV, XML, and Parsing
Python Web Frameworks: Flask, Django
Advanced Python Concepts: Metaclasses, Context Managers, Multiple Inheritance
Deployment of Python Applications
Python Best Practices: PEP8, Code Optimization

Python