The Ultimate Python Bootcamp: Learn By Building 50 Projects

Only Python course that you need

What you'll learn

Understand and apply Python fundamentals including variables, data types, loops, and functions

Handle exceptions and write clean, maintainable code using context managers

Build real-world mini-projects while learning key Python modules and practices

Explore object-oriented programming, decorators, iterators and more

Requirements

No prior programming experience is needed

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

A code editor such as VS Code

Curiosity to learn and consistency to practice daily

Description

Only Python course that you will need. A python course that is take your python skills to production level.Unlock the full power of Python, one of the world’s most versatile and beginner-friendly programming languages. Whether you're just starting out or looking to reinforce your foundational knowledge with real-world applications, this course offers a structured and practical journey into Python.This is not just another Python tutorial. Each concept is taught through relatable real-world examples, including our signature “chai shop” analogy that brings abstract ideas to life. The course is designed to help you not only understand Python syntax but also build the mental models necessary to apply Python in real projects confidently.From core data types and control flow to advanced topics like object-oriented programming, context managers, decorators, file handling, JSON, HTTP requests, and so much more. Every chapter is written with clarity and includes hands-on coding examples, detailed explanations, and output demonstrations. You’ll also dive into tools and modules from the Python standard library that are essential for any developer, such as json, requests, pathlib, and more.What you’ll learn:Python fundamentals: variables, strings, lists, tuples, dictionaries, setsFlow control using if-else statements, loops, and comprehensionsFunctions, scopes, decorators, and assignment expressionsObject-Oriented Programming: classes, inheritance, polymorphism, operator overloading, and data classesFile I/O: working with files, JSON, Pickle, Shelve, and compressed archivesException handling and writing custom context managersHTTP requests with the requests libraryWriting clean, maintainable codeWhy this course stands out:Real-world examples in every topic, explained with relatable scenariosComplete beginner to advanced coverage, in one cohesive curriculumProject-oriented learning with mini challenges and solutions after each conceptBootcamp-style teaching with full code, outputs, and breakdownsBy the end of this course, you will not only be proficient in Python but also ready to apply it in practical applications, automation scripts, backend logic, and more.Join us on this Python journey and build your confidence through hands-on learning that sticks.

Overview

Section 1: Introduction to Coding World with Python

Lecture 1 Course Introduction

Lecture 2 Meet your Instructor - Hitesh

Lecture 3 What is Programming..?

Lecture 4 Convert that into Python Code

Lecture 5 A Real World Python Code Intro

Lecture 6 Why to use Python

Lecture 7 Writing first Python code on MAC

Lecture 8 Writing first Python code on WINDOWS

Lecture 9 Get everything in Virtual Environment

Lecture 10 Organize Python Code like a Pro

Lecture 11 PEP8 and Zen of python

Section 2: Data types in Python

Lecture 12 Objects - Mutable and Immutable in Python

Lecture 13 Numbers, Booleans and Operators in Depth in Python

Lecture 14 String - Index, Slice and Encoding

Lecture 15 Tuples and Membership Testing

Lecture 16 Basics of List in Python

Lecture 17 Operator overloading and bytearray in python

Lecture 18 Set and frozenset in python

Lecture 19 Dictionary in Python

Lecture 20 Touch on Advance Data types like Collections

Section 3: Conditionals in Python

Lecture 21 Kettle Boiling Story Project

Lecture 22 Building a Snack System

Lecture 23 Building a Chai Price Calculator

Lecture 24 Building Smart Thermostat System

Lecture 25 Delivery Fees Waiver System

Lecture 26 Build a train seat information system

Section 4: Loops in Python | Mini Projects

Lecture 27 Introduction to Loops

Lecture 28 Tea Token Dispenser

Lecture 29 Batch Chai Preparation

Lecture 30 Looping through list - Orders Name

Lecture 31 Why to use Enumerate

Lecture 32 Zip Can Combine Lists

Lecture 33 Introducing While Loop in Python

Lecture 34 Break, Continue and Loop Fallback

Lecture 35 Walrus Operator is Interesting in Python

Lecture 36 Dictionary in place of Match Case

Section 5: Functions in Python

Lecture 37 Functions - Reducing Duplication and Splitting Complex Tasks

Lecture 38 Functions - 3 More Features

Lecture 39 Scope and Named Space in Functions

Lecture 40 Non local vs Global scopes

Lecture 41 Handling Arguments in Function in Python

Lecture 42 Handle Multiple Return in Python

Lecture 43 Lambdas, Pure vs Impure functions

Lecture 44 Documenting your Functions and Built-in Functions

Lecture 45 Python Imports, Modules and Init File

Section 6: Comprehensions in python

Lecture 46 What are Comprehensions in Python?

Lecture 47 List Comprehensions in Python

Lecture 48 Set Comprehensions in Python

Lecture 49 Dictionary Comprehensions in Python

Lecture 50 Generator Comprehensions for Memory Optimization

Section 7: Generators and Decorators in Python

Lecture 51 Generators with Yield and Next Methods

Lecture 52 Infinite Generators in Python

Lecture 53 Send Value to Generators

Lecture 54 Yield From and Close the Generators

Lecture 55 Decorators in Python

Lecture 56 Build a Logger with Decorator

Lecture 57 Build an Authorization Decorator

Section 8: Object Oriented Programming in python

Lecture 58 Building your 1st Class and Object in Python

Lecture 59 Class and Object Namespace

Lecture 60 Attribute Shadowing in Python

Lecture 61 Self argument in python

Lecture 62 Constructors and Init in Python Classes

Lecture 63 Inheritance and Composition in Python Classes

Lecture 64 3 Ways to Access Base Class

Lecture 65 Method Resolution Order - MRO

Lecture 66 Static Methods in Python

Lecture 67 Classmethod vs Staticmethod

Lecture 68 Property decorator - Getter and Setter

Section 9: File and Exception Handling in Python

Lecture 69 What is Error handling

Lecture 70 Try except else and finally

Lecture 71 Catching multiple exceptions

Lecture 72 Raise your own errors

Lecture 73 Creating custom exceptions

Lecture 74 Mini project with exception learning

Lecture 75 File handling with try except and with

Section 10: More in Python

Lecture 76 Virtual Environment with venv

Section 11: Day [1-11] in Python - Utilities

Lecture 77 Day 1 Self-Intro Script Generator

Lecture 78 Day 2 Stylish Bio Generator for Instagram/Twitter

Lecture 79 Day 3 Simple Bill Splitter

Lecture 80 Day 4 Minutes Alive Calculator

Lecture 81 Day 5 Emoji Enhancer for Messages

Lecture 82 Day 6 Daily Learning Journal Logger

Lecture 83 Day 7 Terminal-Based Task List Manager

Lecture 84 Day 8 Password Strength Checker and Suggestion Tool

Lecture 85 Day 9 Set a Countdown Timer

Lecture 86 Day 10 Building a Caesar Cipher

Lecture 87 Day 11 friendship calculator

Section 12: Day [12-21] Data handling projects

Lecture 88 Day 1 CSV powered powered contact book

Lecture 89 Day 2 Student Marks Analyzer

Lecture 90 Day 3 Personal Movie Tracker with JSON

Lecture 91 Day 4 Real Time weather API with CSV storage

Lecture 92 Day 5 Graph with matplotlib

Lecture 93 Day 6 JSON to CSV converter from scratch

Lecture 94 Day 7 CSV to JSON converter tool

Lecture 95 Day 8 Flatten JSON - Advance

Lecture 96 Day 9 Build a secure offline password valut

Lecture 97 Day 10 Cryptography Fernet symmetric encryption

Section 13: Day [22-31] Web scraping in python

Lecture 98 Day 1 Scrapping wiki Headings

Lecture 99 Day 2 Save hacker news in CSV

Lecture 100 Day 3 Multi page data scrapping

Lecture 101 Day 4 Download the stream of image in raw code

Lecture 102 Day 5 scrape and download anything with wget

Lecture 103 Day 6 Generate images with quotes

Lecture 104 Day 7 Crypto Price Tracker with Graphs

Lecture 105 Day 8 - Do this task every hour

Lecture 106 Day 9 Store and search in Sqlite DB

Lecture 107 Day 10 Read PDF with PyMuPDF - supports langchain

Section 14: Day [32-35] Automation Projects in python

Lecture 108 Day 1 Our own File organiser

Lecture 109 Day 2 Get your trip photos organized

Lecture 110 Day 3 Watchdog to monitor streaming of events

Lecture 111 04 Day 4 A system monitoring software for real world

Section 15: Day [36-45] Data science projects in Python

Lecture 112 Day 1 Anaconda and Jupyter Notebooks

Lecture 113 Day 2 Generate your own dataset with numpy and pandas

Lecture 114 Day 3 A project on Linear Regression

Lecture 115 Day 4 Salary prediction project with streamlit

Lecture 116 Day 5 NLP, youtube comment dataset and TfidfVectorizer

Lecture 117 Day 6 Training a model for youtube comments

Lecture 118 Day 7 A complete youtube comment classifier

Lecture 119 Day 8 - Generating dataset for recommendation engine

Lecture 120 Day 9 Building a recommendation engine BONUS VIDEO

Lecture 121 Day 10 Recommendation Engine with streamlit BONUS VIDEO

Section 16: Day [46-52] - Building URL shortner - Full Stack

Lecture 122 Day 1 Introduction to Url shortner project

Lecture 123 Day 2 creating basic routes in Flask

Lecture 124 Day 3 Preparing our database for url shortner

Lecture 125 Day 4 work on database functions for CRUD

Lecture 126 Day 5 Handle GET and POST requests

Lecture 127 06 Day 6 Handle Jinja Templates and frontend

Lecture 128 07 Day 7 Handle dynamic routes

Beginners who want to learn Python from scratch,Students transitioning from other languages to Python,Professionals looking to strengthen their Python fundamentals,Anyone interested in building real-world Python projects and learning by doing,Learners preparing for technical interviews or Python-based roles