Course Overview
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, sets
Flow control using if-else statements, loops, and comprehensions
Functions, scopes, decorators, and assignment expressions
Object-Oriented Programming: classes, inheritance, polymorphism, operator overloading, and data classes
File I/O: working with files, JSON, Pickle, Shelve, and compressed archives
Exception handling and writing custom context managers
HTTP requests with the requests library
Writing clean, maintainable code
Why this course stands out:
Real-world examples in every topic, explained with relatable scenarios
Complete beginner to advanced coverage, in one cohesive curriculum
Project-oriented learning with mini challenges and solutions after each concept
Bootcamp-style teaching with full code, outputs, and breakdowns
By 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.
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Course curriculum
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Course Introduction
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Meet your Instructor - Hitesh
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What is Programming..?
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Convert that into Python Code
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A Real World Python Code Intro
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Why to use Python
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Writing first Python code on MAC
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Writing first Python code on WINDOWS
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Get everything in Virtual Environment
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Organize Python Code like a Pro
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PEP8 and Zen of python
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Objects - Mutable and Immutable in Python
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Numbers, Booleans and Operators in Depth in Python
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String - Index, Slice and Encoding
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Tuples and Membership Testing
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Basics of List in Python
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Operator overloading and bytearray in python
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Set and frozenset in python
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Dictionary in Python
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Touch on Advance Data types like Collections
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Introduction to Loops
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Tea Token Dispenser
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Batch Chai Preparation
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Looping through list - Orders Name
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Why to use Enumerate
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Zip Can Combine Lists
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Introducing While Loop in Python
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Break, Continue and Loop Fallback
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Walrus Operator is Interesting in Python
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Dictionary in place of Match Case
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Functions - Reducing Duplication and Splitting Complex Tasks
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Functions - 3 More Features
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Scope and Named Space in Functions
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Non local vs Global scopes
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Handling Arguments in Function in Python
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Handle Multiple Return in Python
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Lambdas, Pure vs Impure functions
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Documenting your Functions and Built-in Functions
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Python Imports, Modules and Init File
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Building your 1st Class and Object in Python
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Class and Object Namespace
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Attribute Shadowing in Python
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Self argument in python
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Constructors and Init in Python Classes
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Inheritance and Composition in Python Classes
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3 Ways to Access Base Class
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Method Resolution Order - MRO
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Static Methods in Python
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Classmethod vs Staticmethod
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Property decorator - Getter and Setter
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Day 1 Self-Intro Script Generator
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Day 2 Stylish Bio Generator for Instagram/Twitter
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Day 3 Simple Bill Splitter
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Day 4 Minutes Alive Calculator
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Day 5 Emoji Enhancer for Messages
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Day 6 Daily Learning Journal Logger
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Day 7 Terminal-Based Task List Manager
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Day 8 Password Strength Checker and Suggestion Tool
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Day 9 Set a Countdown Timer
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Day 10 Building a Caesar Cipher
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Day 11 friendship calculator
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Day 1 CSV powered powered contact book
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Day 2 Student Marks Analyzer
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Day 3 Personal Movie Tracker with JSON
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Day 4 Real Time weather API with CSV storage
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Day 5 Graph with matplotlib
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Day 6 JSON to CSV converter from scratch
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Day 7 CSV to JSON converter tool
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Day 8 Flatten JSON - Advance
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Day 9 Build a secure offline password valut
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Day 10 Cryptography Fernet symmetric encryption
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Day 1 Scrapping wiki Headings
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Day 2 Save hacker news in CSV
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Day 3 Multi page data scrapping
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Day 4 Download the stream of image in raw code
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Day 5 scrape and download anything with wget
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Day 6 Generate images with quotes
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Day 7 Crypto Price Tracker with Graphs
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Day 8 - Do this task every hour
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Day 9 Store and search in Sqlite DB
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Day 10 Read PDF with PyMuPDF - supports langchain
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Day 1 Anaconda and Jupyter Notebooks
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Day 2 Generate your own dataset with numpy and pandas
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Day 3 A project on Linear Regression
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Day 4 Salary prediction project with streamlit
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Day 5 NLP, youtube comment dataset and TfidfVectorizer
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Day 6 Training a model for youtube comments
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Day 7 A complete youtube comment classifier
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Day 8 - Generating dataset for recommendation engine
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Day 9 Building a recommendation engine BONUS VIDEO
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Day 10 Recommendation Engine with streamlit BONUS VIDEO
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Day 1 Introduction to Url shortner project
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Day 2 creating basic routes in Flask
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Day 3 Preparing our database for url shortner
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Day 4 work on database functions for CRUD
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Day 5 Handle GET and POST requests
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06 Day 6 Handle Jinja Templates and frontend
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07 Day 7 Handle dynamic routes
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Why pydantic is important
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The foundation of pydantic
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Pydantic Default conversions
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Mixing pydantic and typing in python
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Adding validations with Field
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Field and model validators in python
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Computed property in pydantic
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Advance Validation in pydantic
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Nested models in pydantic
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Self referencing models in pydantic
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Advance nested model patterns
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Best practice for pydantic model design
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Model dump and model dump json in serialization of pydantic
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Requirment
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No prior programming experience is needed
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A computer (Windows, macOS, or Linux) with internet access
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A code editor such as VS Code
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Curiosity to learn and consistency to practice daily
Outcomes
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Understand and apply Python fundamentals including variables, data types, loops, and functions
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Handle exceptions and write clean, maintainable code using context managers
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Build real-world mini-projects while learning key Python modules and practices
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Explore object-oriented programming, decorators, iterators and more
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