Here’s a complete roadmap for a Python Programming Course from Zero to Hero, covering everything from basics to advanced topics :
1. Introduction to Python
- What is Python?
- Features & Applications of Python
- Installing Python & Setting Up Environment
- Running Python Programs (IDE & Command Line)
- Writing & Executing First Python Program
- Understanding Python Syntax
2. Python Basics
- Variables and Data Types
- Operators (Arithmetic, Relational, Logical, Assignment, Bitwise)
- Type Conversion & Type Casting
- Input and Output in Python
3. Control Flow Statements
- Conditional Statements: if, if-else, elif
- Looping: for, while, break, continue, pass
- Nested Loops and Conditional Statements
4. Data Structures in Python
- Lists (Creation, Manipulation, Slicing, Methods)
- Tuples (Immutable Sequences)
- Sets (Unique Elements, Set Operations)
- Dictionaries (Key-Value Pairs, Dictionary Methods)
- Strings (String Methods, Formatting, Regular Expressions)
5. Functions in Python
- Defining and Calling Functions
- Function Arguments & Return Values
- Default, Keyword, and Variable-length Arguments
- Lambda Functions
- Recursion
6. Object-Oriented Programming (OOP) in Python
- Classes and Objects
- Constructor (__init__ Method)
- Instance & Class Variables
- Inheritance (Single, Multiple, Multilevel)
- Polymorphism & Method Overriding
- Encapsulation & Data Hiding
- Magic Methods (__str__, __repr__, etc.)
7. Exception Handling
- Types of Errors in Python
- try, except, finally Blocks
- Handling Multiple Exceptions
- Custom Exceptions
8. File Handling
- Reading and Writing Files (open(), read(), write())
- Working with Text & Binary Files
- Using with Statement
- File Operations (Rename, Delete, Move)
9. Modules & Packages
- Importing Modules (import, from ... import)
- Built-in Modules (math, random, datetime, etc.)
- Creating Custom Modules
- Python Package Management (pip, virtualenv)
10. Python Libraries for Data Handling
- NumPy (Arrays, Matrix Operations)
- Pandas (DataFrames, Series, Data Manipulation)
- Matplotlib & Seaborn (Data Visualization)
11. Database Connectivity
- Introduction to Databases (SQL, NoSQL)
- Connecting Python with MySQL using mysql-connector
- CRUD Operations (Create, Read, Update, Delete)
- Using SQLite (sqlite3 Module)
12. Web Scraping with Python
- Introduction to Web Scraping
- Using requests to Fetch Data from Websites
- Parsing HTML with BeautifulSoup
- utomating Web Scraping with Selenium
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13. Working with APIs
- What is an API?
- Making API Requests (requests Module)
- Parsing JSON Data
- Working with REST APIs (e.g., OpenWeather, GitHub API)
14. GUI Development in Python
- Tkinter (Basic UI Elements, Events, Layouts)
- PyQt / Kivy (Advanced GUI Development)
15. Multi-threading & Multiprocessing
- Difference between Multi-threading & Multiprocessing
- Using threading Module
- Using multiprocessing Module
16. Unit Testing in Python
- Writing Test Cases (unittest Module)
- Debugging Python Programs
17. Web Development with Python
- Introduction to Flask (Routing, Templates, Forms)
- Introduction to Django (MVC, Models, Views, Templates)
- Building a Simple Web Application
18. Data Science & Machine Learning with Python
- Introduction to Data Science
- Using Pandas for Data Analysis
- Introduction to Machine Learning
- Using Scikit-Learn for ML Models
- Basics of Deep Learning with TensorFlow / PyTorch
19. Automation & Scripting
- Automating Tasks with Python Scripts
- Working with OS Module (os, shutil)
- Sending Emails using Python (smtplib)
- Automating Excel Tasks with openpyxl
20. Advanced Topics
- Python Decorators
- Generators & Iterators
- Context Managers
- Metaprogramming (metaclasses)
- Asynchronous Programming (asyncio)
Project-Based Learning
After covering all topics, learners should work on real-world projects:
- To-Do List Application (GUI or Web-based)
- Weather App using APIs
- Web Scraper for Stock Prices
- Chatbot using NLP
- Data Analysis Dashboard using Pandas & Matplotlib
- Machine Learning Model for Spam Detection
- E-commerce Website using Django/Flask
- Automation Scripts (e.g., Bulk Email Sender, PDF Converter)
