Python Programming
A beginner-friendly Python course that teaches core programming concepts and syntax. You’ll learn to write clean, practical Python code for real-world applications.
The Certificate course for you!
Understand Python fundamentals: Variables, data types, loops, functions, and conditional statements.
Develop problem-solving skills by writing efficient Python programs for real-world applications.
Build practical projects using Python: Basic automation, data handling, and simple applications.
What Will You Learn?
Easy to Learn: Python has a simple and readable syntax, making it beginner-friendly.
Wide Career Opportunities: Python is used in data science, web development, AI, machine learning, and automation.
High-Demand Language: Many top companies use Python, increasing job opportunities.
Versatile and Powerful: Python can be used for small scripts as well as large, complex applications.
Course Curriculum
- Using Arithmetic Operators in Python 0:02 Min
- The Double Equality Sign 0:02 Min
- How to Reassign Values 0:01 Min
- Structuring with Indentation 0:01 Min
- Basic Python Syntax 0:10 Min
- Variables 0:02 Min
- Numbers and Boolean Values in Python 0:03 Min
- Python String 0:03 Min
- Variables and Datatype 0:15 Min
- Comparison Operators 0:02 Min
- Logical and Identity Operators 0:02 Min
- Other Python Operators 0:10 Min
- Defining a Function in Python 0:01 Min
- How to Create a Function with a Parameter 0:01 Min
- How to Use a Function within a Function 0:01 Min
- Built-in Functions in Python 0:07 Min
- Python Functions 0:10 Min
- For Loops 0:01 Min
- While Loops and Incrementing 0:02 Min
- Lists with the range() Function 0:03 Min
- How to Iterate over Dictionaries 0:02 Min
- Iterations 0:10 Min
- The IF Statement 0:01 Min
- The ELSE Statement 0:02 Min
- The ELIF Statement 0:02 Min
- A Note on Boolean Values 0:01 Min
- Conditional Statements 0:10 Min
- Tuples 0:02 Min
- Dictionaries 0:01 Min
- Lists 0:02 Min
- Using Methods 0:01 Min
- Sequences 0:10 Min
- Classes & objects; instance/class attributes; methods. 0:04 Min
- Inheritance & composition; dunder methods; @dataclass intro. 0:04 Min
- Iterables & iterators; itertools for efficient looping. 0:03 Min
- Useful stdlib: datetime, math, random, os, sys, argparse. 0:04 Min
- OOP & Standard Library 0:10 Min
- Debugging: print vs logging; pdb; common error patterns. 0:05 Min
- Testing: unit tests with unittest/pytest; fixtures & asserts. 0:05 Min
- Performance basics: profiling; lists vs generators; big‑O intuition. 0:04 Min
- Testing, Debugging & Performance 0:10 Min
Learn With GreyLearn
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Hands-on practice: Live projects and exercises.
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Learn important concepts: Loops, functions, OOP, and libraries.
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Improve problem-solving skills and prepare for jobs or further studies.
What Learners Say
Himanshu Dwivedi
Nice and simple course. More real examples would improve it.
Dinesh Ahire
Good explanations and practice. Add more advanced tasks please.
Rohit Nile
Helpful course. Some topics felt rushed, but overall good.
Ayush Kashyap
Good for basics and practice. More projects would make it better.
Saksham Tripathi
Useful learning path. I needed more examples in one section.
Shahid Shikalgar
Clear lessons and easy language. Some parts were a bit quick.
Frequently Asked Questions
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