Complete 2025 Python Bootcamp: Learn Python From Scratch

Complete 2025 Python Bootcamp: Learn Python From Scratch
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Master Python Programming from Scratch: Build Real-World Projects and Become Job-Ready in 2025

What you’ll learn

Work with Real-World Data: Gain hands-on experience using Python libraries like Requests and Shutil

Build Projects from Scratch: Develop practical Python projects, such as calculators, games, and automation scripts.

Understand Object-Oriented Programming (OOP): Learn how to design classes, objects, and implement inheritance in Python.

Automate Tasks with Python: Use Python to simplify repetitive tasks, including file handling and web scraping.

Requirements

No prior programming experience is required – this course is designed for complete beginners.

A computer (Windows, macOS, or Linux) with an internet connection.
Basic computer skills, such as using a web browser and installing software.

A willingness to learn and a curious mindset!

Description

Overview

Section 1: Introduction to Programming & Python

Lecture 1 Introduction to Programming

Lecture 2 Installing Python and VS Code

Lecture 3 Writing Our First Python Program

Lecture 4 Understanding the Python Syntax

Section 2: Python Fundamentals

Lecture 6 Typecasting in Python

Lecture 7 Taking User Input in Python

Lecture 8 Comments, Escape Sequences & Print Statement

Lecture 9 Operators in Python

Section 3: Control Flow and Loops

Lecture 10 If-Else Conditional Statements

Lecture 11 Match Case Statements in Python

Lecture 12 For Loops in Python

Lecture 13 While Loops in Python

Lecture 14 Break, Continue, and Pass Statements

Section 4: Strings

Lecture 15 Strings in Python

Lecture 16 String Slicing and Indexing

Lecture 17 String Methods and Functions

Lecture 18 String Formatting and f-Strings

Section 5: Functions and Modules

Lecture 19 Defining Functions in Python

Lecture 20 Function Arguments & Return Values

Lecture 21 Lambda Functions in Python

Lecture 22 Recursion in Python

Lecture 23 Modules and Pip – Using External Libraries

Section 6: Data Structures in Python

Lecture 25 Introduction to Lists

Lecture 26 List Methods

Lecture 27 Tuples and Operations on Tuples

Lecture 28 Sets and Set Methods

Lecture 29 Dictionaries and Dictionary Methods

Section 7: Object-Oriented Programming (OOP) in Python

Lecture 30 Introduction to OOP

Lecture 31 Classes and Objects in Python

Lecture 32 Constructors in Python

Lecture 33 Instance and class attributes

Lecture 34 Inheritance and Polymorphism

Lecture 35 Method Overriding and Operator Overloading

Section 8: Advanced Python Concepts

Lecture 36 Decorators in Python

Lecture 37 Getters and Setters

Lecture 38 Static & Class Methods

Lecture 39 Magic/Dunder Methods

Lecture 40 Exception Handling and Custom Errors

Lecture 41 Map filter and reduce

Lecture 42 Walrus operator

Lecture 43 Args and kwargs

Section 9: File IO – Working with Files & Related Modules

Lecture 44 File I/O in Python

Lecture 45 Read, Write, and Append Files

Lecture 46 OS and Shutil Modules in Python

Lecture 47 Creating Command Line Utilities

Section 10: Working with External Libraries

Lecture 48 Virtual Environments & Package Management

Lecture 49 Requests Module – Working with APIs

Lecture 50 Regular Expressions in Python

Lecture 51 Multithreading in Python

Section 11: Using AI as a developer

Lecture 52 When and how to use AI?

Lecture 53 ChatGPT – The optimal way to use it

Lecture 54 Github Copilot, Cursor AI & Llama coder

Lecture 55 Working with LLM APIs

Section 12: Hands-On Python Projects

Lecture 56 Build a Simple Calculator

Lecture 57 Who wants to be a Millionaire Game

Lecture 58 PDFMerger: Merge PDFs using Python

Lecture 59 Build a News App Using APIs

Lecture 60 Build a Drink Water Reminder App

Lecture 61 Build an AI Powered Virtual Assistant

Section 13: Conclusion and Next Steps

Lecture 62 Course Summary & What’s Next

Lecture 63 Resources and Career Guidance