Python
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course overview
Learning Python is a great step for beginners and professionals. It is simple, powerful, and widely used in web development, data science, automation, AI, and more. A Python course helps you understand coding basics, problem-solving, and project building. With hands-on practice, you can quickly build skills to create real-world applications and boost career opportunities.
10 Python Programming (For Beginners)
1: Introduction to Python
2: Python Basics
3: Control Flow
4: Data Structures
5: Functions & Modular Programming
6: File Handling & Exceptions
7: Object-Oriented Programming
8: Final Project & Wrap-Up
Project ideas (choose one):
To-do list manager (with file save/load)
Quiz app with scoring
Simple expense tracker
Recap of concepts
Guidance for next steps (libraries like NumPy, Pandas, Flask, Django)
10. Python Advanced Training
1: Advanced Python Foundations
2: Functional Programming in Python
3: Object-Oriented Programming (OOP) Deep Dive
4: Error Handling & Testing (5 hrs)
5: File Handling, Serialization & Databases
6: Concurrency & Parallelism
7: Networking & APIs
8: Data Science & Visualization
9: Automation, Scripting & Tools
10: Capstone Project
Learning Outcomes:
By the end of 50 hours, learners will be able to:
Write clean, efficient, and production-grade Python code
Work with concurrency, databases, and APIs
Build real-world applications & automation scripts
Apply OOP, functional programming, and testing best practices
Topics we will cover
| Course Name | Duration | Sessions |
| Python Programming (For Beginners) | 1.5 month | 20 |
| Python Advance Programming | 3 month | 45 |