Python

<h1 align = "center"> 🐍📊 <a href = "https://tanu-n-prabhu.github.io/Python/">Welcome to the Python Programming Hub</a> 📊🐍</h1> <h2 align = "center"><i>The Best Place to Learn Python, Data Science and Machine Learning!</i></h2> <p align="center"> <!-- Social Metrics --> <img src="https://img.shields.io/github/forks/Tanu-N-Prabhu/Python?style=social" /> <img src="https://img.shields.io/github/stars/Tanu-N-Prabhu/Python?style=social" /> <!-- Repo Health --> <img src="https://img.shields.io/github/repo-size/Tanu-N-Prabhu/Python?label=Repo%20Size" /> <img src="https://img.shields.io/github/contributors/Tanu-N-Prabhu/Python?label=Contributors" /> <!-- Dev Tools --> <a href="https://gitpod.io/#https://github.com/Tanu-N-Prabhu/Python"> <img src="https://img.shields.io/badge/Gitpod-Ready%20to%20Code-blue?logo=gitpod" /> </a> <!-- Commits This Year --> <img src="https://img.shields.io/github/commit-activity/y/Tanu-N-Prabhu/Python?label=Commits%20This%20Year" /> <!-- Commits This Week --> <img src="https://img.shields.io/github/commit-activity/w/Tanu-N-Prabhu/Python?label=Commits%20This%20Week" /> <img src="https://img.shields.io/badge/Python-3.x-blue?logo=python" /> <!-- Last Commit --> <a href="./VERSION_HISTORY.md"> <img src="https://img.shields.io/github/last-commit/Tanu-N-Prabhu/Python" /> </a> <!-- Open Source --> <a href="https://opensource.org/"> <img src="https://badges.frapsoft.com/os/v1/open-source.svg?v=103" /> </a> <a href="https://github.com/Tanu-N-Prabhu/Python/tree/master/Release%20Notes"> <img src="https://img.shields.io/badge/Release-Notes-blue" alt="Release Notes" /> </a> </p> <p align = "right"><b><i>Last updated</i></b>: <!-- LAST_UPDATED -->Mar 29, 2026<!-- END_LAST_UPDATED --></p>

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Welcome to a treasure trove of Python programming expertise, Data Science mastery, and essential survival skills for navigating the dynamic world of programming. Dive into the depths of this repository to unlock the knowledge and tools you need to thrive in your coding journey.

Table of Contents

1. Introduction

1. What
2. Why
3. How

2. LinkedIn Content Overview

1. Current Post
2. Purpose

3. Python Materials

1. Chapter 1 - Basic Concepts

   • Python Input, Output and Import functions
   • Python Variables
   • Python Global, Local and Nonlocal Variables
   • Python Strings
   • Python Lists
   • Python Tuples
   • Python Dictionary
   • Python Operators
   • Mastering Python Decorators

2. Chapter 2 - Built-in Functions

   • Python Input, Output and Import built-in-functions
   • Eval built-in-function
   • Range built-in-function
   • Python Lambda Function
   • Python Enumerate Function
   • Python len function

3. Chapter 3 - Libraries

   • Numpy library
   • Pandas library
   • Math Module
   • JSON library

4. Chapter 4 - APIs

   • Google Translate API for Python
   • Google Trends API for Python
   • Wikipedia API for Python
   • Google Search API for Python
   • General Transit Feed Specification (GTFS)
   • Time Series Forecasting with Facebook Prophet

5. Chapter 5 - Additional Materials

   • How to get started coding in Python?
   • Is Python Object Oriented?
   • Speech Recognition using Python
   • One-Hot Encoding
   • Reading an Image Without Libraries
   • Render Images in Pandas DataFrame
   • Using Pandas DataFrame as a Database
   • Using Pandas in Daily Life
   • Presenting Python Code Using RISE
   • Google Colab Cheat Sheet
   • Pick-Up Line Generator
   • Optimizing Code with List Comprehensions
   • Understanding Virtual Environments
   • Hidden Markov Models
   • Feature Maps in CNNs
   • Rule-Based System in Python

6. Chapter 6 - Exercises

   • String Concatenation Questions
   • String Concatenation Answers
   • Built-In Functions Exercise Questions

7. Chapter 7 - Quiz

   • Quiz 1
   • Quiz 2
   • Quiz 3

8. Chapter 8 - Interview Preparation

   • Python Coding Interview Questions (Beginner → Advanced)
   • Crack Python Interviews Like a Pro!
   • 35 Python Interview Questions (Experienced)
   • [Python Interview Questions - Strings](https://github.com/Tanu-N-Prabhu/Python/blo