Course Description
Python programming courses, ranging from 90 hours to 3-month durations, provide a comprehensive introduction to syntax, data structures (lists, dictionaries), object-oriented programming (OOPs), and libraries like Pandas and NumPy. Typically designed for beginners, they cover web development (Flask/Django), data analysis, and automation, often culminating in projects or certifications.
Syllabus Overview
Module 1: Introduction & Environment Setup
What is Python, installation, and setting up IDEs (VS Code, PyCharm, Jupyter).
Running Python scripts and understanding the syntax.
Module 2: Basic Syntax & Data Types
Variables, comments, and input/output (print, input).
Data types: Numbers (Integer, Float), Strings, Booleans.
Typecasting and string formatting.
Module 3: Operators & Expressions
Arithmetic, Comparison, Logical, Bitwise, Membership, and Identity operators.
Module 4: Control Flow & Loops
Conditional statements: if, elif, else, nested if.
Loops: for, while, break, continue, pass.
Module 5: Data Structures
Lists, Tuples, Sets, and Dictionaries (creation, indexing, slicing, methods).
Module 6: Functions & Modules
Defining functions, arguments, return values, and scope.
Lambda functions, map, filter, and modules (importing, standard libraries).
Module 7: File Handling & Exception Handling
File operations: Opening, reading, writing, closing files.
Exception handling: try, except, finally.
Module 8: Object-Oriented Programming (OOP)
Classes, Objects, Inheritance, Polymorphism, Encapsulation.
Module 9: Advanced Topics & Libraries
Regular Expressions (RegEx), Date/Time handling.
Introduction to Libraries: NumPy (numerical data), Pandas (data manipulation), Matplotlib (visualization).
Database interaction (SQL, MySQL).
Module 10: Final Project
Building a real-world application, such as a data analysis tool or web scraper.