Python Programming – Skillup To Pro

About Course

Python Programming : For All Backgrounds — Learn It or Fall Behind
This hands-on Python course is designed for students and beginners. It is best if you are eager to unlock the power of programming for AI, machine learning, automation or research. Through practical examples and guided exercises, learners will build strong skills in Python to solve real-world problems.

No prior experience? No problem. You’ll start with the basics and quickly move into powerful tools like NumPy. By the end of the course, you’ll be confident using Python. It will empower you to showcase your skilled presence in current tech world of AI, Computer Vision, Research or any STEM/ non-STEM field.

Setup: Python installation, Google Colab usage, writing and executing basic scripts
Operators & Expressions: Use arithmetic, relational, and logical operators for computation and control
Data Handling: Work with variables, user input, and core data types (strings, numbers, lists)
Control Structures: Implement conditional logic and loops for structured program flow
Functions: Define and apply reusable functions with parameters and return values
Data Structures: Utilize lists, tuples, sets, and dictionaries for efficient data organization
String Operations: Manipulate and format strings using built-in methods and f-strings
NumPy Essentials: Perform array creation, indexing, matrix operations, and data processing with NumPy

Course Content

Module 1

Make sure you read this before starting!
Installation and Hello World

01:09
Arithmetic Operators

04:20
Variables and Operations on Variables

10:12
Import Functions from a Library

05:52
More on Import Functions from a Library

04:40
Basic Data Types on Python

03:59
How to Collect User Data Input

05:52
Other Coding IDE Options

00:56
Text: Important information on builtin functions and import
Text: Instructions on Quizzes
Quiz 1

Module 2

Introduction to Google Collab

02:35
Setting up Google Collab and Getting Started

08:59
Statement vs Expression

04:05
Relational Operators – Basics

05:24
Relational Operators – Practice

02:03
Logical Operators – Basics

26:24
Logical Operators – Practice

01:58
Quiz 2
Condition – If else

07:20
Condition – If else (continued)

02:52
Condition – nested if else

04:43
QnA on if else

02:00
Text: Important Information on Variables
Quiz 3

Module 3

Intro to Python Data Structure

01:24
Basic Understanding of List

06:00
More on List

06:38
Quiz 4
Loops in Python and While Loop

04:58
More on While Loop – Use of Break & Continue

05:29
For Loop in Python

07:04
More on For Loop

02:29
Function in Python

06:19
More on Function

05:47
Text: Important Information on Functions
Quiz 5

Module 4

Indexing of List Elements

04:55
More List of Operations I

07:56
More on List Operations II

07:27
Text: Important Information on List Functions
Quiz 6
Data Structure – Tuple

07:44
Problem of Passing List as Function Parameter and Solution

13:04
Data Structure – Set

08:39
Data Structure – Dictionary

14:43
Quiz 7

Module 5

More String Operations I

05:44
Access String Elements

04:16
More String Operations II

11:18
More String Operations III

12:28
Text: String Functions Summary
Quiz 8
String Formatting

05:50
String Formatting 2

05:58
Text: String Formatting Summary
Quiz 9

Module 6

Introduction to NUMPY Package

03:04
Create a Matrix Using Numpy

07:51
Accessing Matrix Elements by Numpy

07:52
Properties of Matrix & Resizing

06:45
QnA on Numpy Matrix Size

02:02
Copy a 1D Version of a Matrix

05:42
Matrix Functions in Numpy

04:19
Matrix Functions in Numpy II

06:22
Matrix Functions in Numpy III

05:39
Matrix Operations Using Numpy

04:15
Text: Summary of Important NumPy Functions
Quiz 10

Module 7

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About Course

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Course Content

Module 1

Make sure you read this before starting!

Installation and Hello World

Arithmetic Operators

Variables and Operations on Variables

Import Functions from a Library

More on Import Functions from a Library

Basic Data Types on Python

How to Collect User Data Input

Other Coding IDE Options

Text: Important information on builtin functions and import

Text: Instructions on Quizzes

Quiz 1

Module 2

Introduction to Google Collab

Setting up Google Collab and Getting Started

Statement vs Expression

Relational Operators – Basics

Relational Operators – Practice

Logical Operators – Basics

Logical Operators – Practice

Quiz 2

Condition – If else

Condition – If else (continued)

Condition – nested if else

QnA on if else

Text: Important Information on Variables

Quiz 3

Module 3

Intro to Python Data Structure

Basic Understanding of List

More on List

Quiz 4

Loops in Python and While Loop

More on While Loop – Use of Break & Continue

For Loop in Python

More on For Loop

Function in Python

More on Function

Text: Important Information on Functions

Quiz 5

Module 4

Indexing of List Elements

More List of Operations I

More on List Operations II

Text: Important Information on List Functions

Quiz 6

Data Structure – Tuple

Problem of Passing List as Function Parameter and Solution

Data Structure – Set

Data Structure – Dictionary

Quiz 7

Module 5

More String Operations I

Access String Elements

More String Operations II

More String Operations III

Text: String Functions Summary

Quiz 8

String Formatting

String Formatting 2

Text: String Formatting Summary

Quiz 9

Module 6

Introduction to NUMPY Package

Create a Matrix Using Numpy

Accessing Matrix Elements by Numpy

Properties of Matrix & Resizing

QnA on Numpy Matrix Size

Copy a 1D Version of a Matrix

Matrix Functions in Numpy

Matrix Functions in Numpy II

Matrix Functions in Numpy III

Matrix Operations Using Numpy

Text: Summary of Important NumPy Functions

Quiz 10

Module 7