Python Programming Fundamentals For Beginners

Python Programming Fundamentals for Beginners | From zero to Hero

What you'll learn

Master Python fundamentals—syntax, data types, operators, and control flow

Build programs using Python’s core data structures: lists, tuples, dictionaries, and strings.

Write reusable code with functions and handle errors professionally using try-except blocks.

Apply your skills to real-world scenarios—web dev, data analysis, automation, or DevOps

Import and use Python modules/packages (like math, datetime) and install libraries with pip.

Requirements

No prior coding experience needed—this course starts from scratch!

A computer (Windows, macOS, or Linux) with internet access.

Free tools: We’ll install Python and use free IDEs (VSCode, PyCharm).

Eagerness to learn.

Description

Are you ready to start your programming journey with one of the most popular and versatile languages in the world? This beginner-friendly course is designed to help you build a solid foundation in Python programming — no prior experience required, just curiosity!What You'll Learn:Understand the core concepts of Python from scratchWork confidently with variables, data types, and control flowWrite clean, reusable code using functions and modulesHandle files, exceptions, and real-world dataUse essential Python libraries and work with date/time effectivelyWhether you're aiming for a career in software development, data analysis, web development, or automation, machine learning, AI — this course sets you up with the essential tools to get started.You'll also gain valuable coding experience through hands-on examples and exercises designed to reinforce your understanding. Each topic is broken down into simple, digestible lessons to ensure that you not only understand the “how,” but also the “why” behind Python programming.By the end of the course, you'll be equipped to write your own Python programs and solve real-world problems confidently. You'll also be prepared to explore more advanced paths like Django, Flask, data science, and automation projects.Don’t just watch — code along, experiment, and build confidence as you learn. Enroll now and take your first step into the world of Python programming!

Overview

Section 1: Introduction

Lecture 1 Introduction to python

Lecture 2 About your Instructor

Lecture 3 Reference resources

Lecture 4 At the end of this topic

Lecture 5 History of Python

Lecture 6 Installing Python and setting up an IDE on Linux

Lecture 7 Installing Python and setting up an IDE on Windows

Lecture 8 Running Python Programs & Basic Syntax

Lecture 9 Python syntax rules

Lecture 10 Getting started with VS code

Lecture 11 Practical Practice Questions - Questions

Lecture 12 Practical Practice Questions - Solutions

Section 2: Variables and Data Types

Lecture 13 Introduction to variables and data types

Lecture 14 Naming conventions

Lecture 15 Data Types

Lecture 16 String Operations

Lecture 17 Dictionary Operations part 1

Lecture 18 Dictionary Operations part 2

Lecture 19 Lists Operations

Lecture 20 Type Conversion and Type-checking

Lecture 21 Practical Practice Questions - List Operations

Lecture 22 Practical Solutions - List operations

Lecture 23 Practical Practice Questions - Tuple Operations

Lecture 24 Practical Solutions - Tuple operations

Lecture 25 Practical Practice Questions - Dictionary Operations

Lecture 26 Practical Solutions - Dictionary Operations

Lecture 27 Practical Practice Questions  - String Manipulations

Lecture 28 Practical Solutions - String Manipulations

Section 3: Control Flow and Conditionals

Lecture 29 Introduction to Control Flow & Conditionals

Lecture 30 Comparison and Relational Operators

Lecture 31 If Statements

Lecture 32 Else and Elif Statements

Lecture 33 Loops (for, while)

Lecture 34 Break and Continue Statements

Lecture 35 Nested Conditionals

Lecture 36 Logical Operators (and, or, not)

Lecture 37 Practical practice Questions - Questions

Lecture 38 practical practice Questions - Solution

Section 4: Functions & Modules

Lecture 39 Introduction to Functions and Modules

Lecture 40 Defining and Calling Functions

Lecture 41 Function Parameters and Return Values

Lecture 42 Scope and Lifetime of Variables

Lecture 43 Creating and Using Modules

Lecture 44 Practical Practice Questions - Questions

Lecture 45 Practical Practice Questions - Solution

Section 5: File Handling

Lecture 46 Introduction to File Handling

Lecture 47 Reading and Writing Text Files

Lecture 48 File Operations and Error Handling

Lecture 49 Practical Practice Questions

Lecture 50 Practical Practice Questions - Solution

Section 6: Exception Handling

Lecture 51 Introduction to exception Handling

Lecture 52 Understanding Exceptions

Lecture 53 Handling Exceptions and Custom Exception Classes

Lecture 54 Practical Practice Questions - Questions

Lecture 55 Practical Practice Questions - Solution

Section 7: Python Libraries and Modules

Lecture 56 Introduction to Python Libraries and Modules

Lecture 57 Built-in Modules

Lecture 58 Third-Party Libraries

Lecture 59 How to Install pip

Lecture 60 Virtual Environments

Lecture 61 Custom Modules

Lecture 62 Practical Practice Questions - Questions

Lecture 63 Practical Practice Questions - Solution

Section 8: Date and Time

Lecture 64 Introduction to Date and Time

Lecture 65 Python's datetime Module

Lecture 66 Formatting and Parsing Dates

Lecture 67 Time Zones and Date Arithmetic

Lecture 68 Time module

Lecture 69 Practical Practice Questions - Questions

Lecture 70 Practical Practice Questions - Solution

Section 9: Conclusion

Lecture 71 Congraturations

Lecture 72 What next ?

Absolute Beginners,Career Switchers - those who wish to switch to tech, DevOps, data, or fintech.,IT Professionals - Sysadmins, support engineers, or analysts looking to automate tasks.,Students & Hobbyists – Learn a skill used in AI, web dev, and scientific computing,Curious Minds – Those who want to just understand coding.