Python Programming for Dummies

Vision for the Digital Recorded Python Programming Course

This course has been specially designed for students who do not have any background in computer programming. Even if you only know a little bit of mathematics, you will be able to learn from this course without any problem.

The goal is to make the course self-sufficient. That means students should not always need me (Dr. Samarth Godara, the instructor) to guide them. Once students join their M.Sc. program, they can immediately start the course by watching three videos per week.

To make learning smooth:

Students should discuss their doubts with their seniors, who by then will be in the second year of M.Sc.
Every weekend (for example, on Saturday), there should be a 2-hour discussion session where juniors can ask questions, and seniors can guide them.
Seniors should also check if juniors are really studying the course. They can do this by taking small tests, where juniors write code without using the internet.

This system creates a cycle of learning:

Juniors learn from the course and get help from seniors.
When they become seniors, it becomes their responsibility to guide the new students and introduce the course to them.

The course is not limited to IASRI students—students from other colleges can also use it. The idea is to build a supportive learning environment where everyone helps each other grow.

At its heart, this course is meant to help students learn Python from zero. It must be taken seriously, as it will lay the foundation for future learning and research.

Finally, I want to leave you with the last words of Gautam Buddha:
“Appo Deepo Bhava” – Be your own light.

Python Programming for Beginners

Lecture 1: Introduction to the course

Lecture 2: Variables and Simple Calculations

Lecture 3: Data types and operators

Lecture 4: Decision Making (if-else)

Lecture 5: Decision Making (if-else ladder)

Lecture 6: Decision Making (Nested if-else)

Lecture 7: Decision Making (Compound Conditional Statements)

Lecture 8: Looping (while-loop)

Lecture 9: Looping (while-loop exercises)

Lecture 10: Looping (while-loop exercises continued)

Lecture 11: Looping (while-loop exercises & for-loop introduction)

Lecture 12: Looping (for-loop exercises & Nested for-loop introduction)

Lecture 13: Star patterns

Lecture 14: Introduction to Lists

Lecture 15: Lists - exercises

Lecture 16: 2-D Lists, searching & sorting

Lecture 17: 2-D Lists exercises

Lecture 18: 2-D Matrix Operations

Lecture 19: Introduction to Strings

Lecture 20: Introduction to Dictionary

Lecture 21: Introduction to Functions

Lecture 22: Lambda functions, tuples & sets

Lecture 23: Exception handling & File handling

Lecture 24: File handling exercises

Lecture 25: File handling exercises continued

Vision for the Digital Recorded Python Programming Course

To make learning smooth:

This system creates a cycle of learning: