https://github.com/Tanu-N-Prabhu/Python
This repository helps you understand python from the scratch.
https://github.com/Tanu-N-Prabhu/Python
data dataanalysis datascraping google-colab google-colab-notebook jupyter-notebook machine-learning numpy numpy-arrays pandas-dataframe prediction python python-3 python3
Last synced: 6 days ago
JSON representation
This repository helps you understand python from the scratch.
- Host: GitHub
- URL: https://github.com/Tanu-N-Prabhu/Python
- Owner: Tanu-N-Prabhu
- Created: 2019-04-27T04:49:56.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2024-09-02T16:21:22.000Z (8 months ago)
- Last Synced: 2024-10-29T15:46:37.512Z (6 months ago)
- Topics: data, dataanalysis, datascraping, google-colab, google-colab-notebook, jupyter-notebook, machine-learning, numpy, numpy-arrays, pandas-dataframe, prediction, python, python-3, python3
- Language: Jupyter Notebook
- Size: 24.9 MB
- Stars: 1,289
- Watchers: 48
- Forks: 683
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
🐍📊 Welcome to the Python Programming Hub 📊🐍
The Best place to learn Python and Data Science
| [](https://discord.gg/qFryjbX) |  |  |  | | [](https://gitpod.io/#https://github.com/Tanu-N-Prabhu/Python)| [](https://github.com/Tanu-N-Prabhu/Python/commits/main?icon=github&color=green)|||
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| Image Credits [Wallpaper Flare](https://www.wallpaperflare.com/programming-is-an-art-text-code-python-computer-python-programming-wallpaper-srfia) |
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.
## About
This repository isn’t just a collection of code snippets; it’s a comprehensive resource designed to empower learners and professionals alike. You’ll find invaluable insights and guidance for:
* **Novices** - Explore the fundamentals of Python programming.
* **Data Enthusiasts** - Delve into the intricacies of data science.
* **Seasoned Developers** - Hone your craft with advanced techniques and tips.
## What the repository offers
* **Python Proficiency** - Elevate your Python skills from beginner to advanced levels with my curated tutorials, exercises, and real-world examples.
* **Data Science Expertise** - Harness the power of data with our in-depth guides, projects, and best practices in data analysis, machine learning, and beyond.
* **Survival Toolkit** - Navigate the complexities of the programming world with confidence, thanks to our tips, tricks, and advice on career development, productivity, and staying ahead of the curve.
## Why choose this repository
* **Comprehensive Learning** - Whether you're starting your journey or aiming for mastery, this repository provides the resources you need to succeed.
* **Community Support** - Join a vibrant community of learners, mentors, and experts passionate about sharing knowledge and helping each other grow.
* **Practical Application** - From theory to practice, our hands-on approach ensures that you understand concepts and how to apply them effectively in real-world scenarios.
### Get involved
Ready to embark on your Python journey? Explore our repository, contribute your expertise, and connect with fellow enthusiasts. Together, we'll sharpen our skills, unravel the mysteries of programming, and unlock new opportunities in the ever-evolving tech landscape.
## Join Us on This Adventure
The Python Mastery Repository is more than just a collection of code; it's a gateway to endless possibilities. Start your exploration today and discover the boundless potential of Python programming, data science, and beyond.
# Installation tools
Below are some tools you can download before getting started with Python. It's all about personal preference, so feel free to choose the ones that work best for you!
| Name of the tools |
| ------------- |
|[Python download](https://www.python.org/downloads/)|
|[Visual Studio Code](https://code.visualstudio.com/download)|
|[Jupyter Notebook](https://jupyter.org/install)|
|[Google Colab](https://colab.research.google.com/notebooks/welcome.ipynb)|
I use Google Colab for Python programming, and it's one of the best interactive tools out there. I love it because it allows me to add more documentation to my code and create quality tutorials, making it easier to share knowledge and improve learning.
# Repository Contents
#### This repository is divided into two parts, such as Python Coding and Data Science for Beginners.
## Python Coding
Follow the steps below to get started coding in Python!!!
### Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
- [Python Input, Output and Import functions](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python_Input%2C_Output_and_Import.ipynb)
- [Python Variables](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python_Variables.ipynb)
* [Python Global, Local and Nonlocal Variables](https://github.com/Tanu-N-Prabhu/Python/blob/master/Global%2C_Local_and_Nonlocal_variables_in_Python.ipynb)
- [Python Strings](https://github.com/Tanu-N-Prabhu/Python/tree/master/Strings)
- [Python Lists](https://github.com/Tanu-N-Prabhu/Python/tree/master/Lists)
- [Python Tuples](https://github.com/Tanu-N-Prabhu/Python/tree/master/Tuples)
- [Python Dictionary](https://github.com/Tanu-N-Prabhu/Python/tree/master/Dictionary%20)
- [Python Operators](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python_Operators.ipynb)
Chapter 2️⃣ ⮕ Built-in Functions
- [Python Input, Output and Import built-in-functions](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python_Input%2C_Output_and_Import.ipynb)
- [Eval built-in-function](https://github.com/Tanu-N-Prabhu/Python/blob/master/Eval_built_in_function.ipynb)
- [Range built-in-function](https://github.com/Tanu-N-Prabhu/Python/blob/master/Range_built_in_function.ipynb)
- [Python Lambda Function](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python_Lambda_Function.ipynb)
- [Python Enumerate Function](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python_enumerate()_built_in_function.ipynb)
- [Python len function](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python_len()_built_in_function.ipynb)
Chapter 3️⃣ ⮕ Libraries
- [Numpy library](https://github.com/Tanu-N-Prabhu/Python/tree/master/Numpy)
- [Pandas library](https://github.com/Tanu-N-Prabhu/Python/tree/master/Pandas)
- [Math Module](https://github.com/Tanu-N-Prabhu/Python/blob/master/Learn_the_Python_Math_Module.ipynb)
- [JSON library](https://github.com/Tanu-N-Prabhu/Python/blob/master/How_to_handle_JSON_in_Python%3F.ipynb)
Chapter 4️⃣ ⮕ API's
- [Google Translate API for Python](https://github.com/Tanu-N-Prabhu/Python/tree/master/Google%20Translate%20API)
- [Google Trends API for Python](https://github.com/Tanu-N-Prabhu/Python/blob/master/Google_Trends_API.ipynb)
- [Wikipedia API for Python](https://github.com/Tanu-N-Prabhu/Python/blob/master/Wikipedia_API_for_Python.ipynb)
- [Google Search API for Python](https://github.com/Tanu-N-Prabhu/Python/blob/master/The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb)
- [General Transit Feed Specification - General Transit Feed Specification (GTFS)](https://github.com/Tanu-N-Prabhu/Python/blob/387a2cdd5bcfc4afbae2319d017a850bdaeb772c/Transit_Data_Calgary_2025.ipynb)
Chapter 5️⃣ ⮕ Additional Materials
- [How to get started coding in Python?](https://github.com/Tanu-N-Prabhu/Python/blob/master/How_to_get_started_coding_in_Python%3F.ipynb)
- [Is Python Object Oriented?](https://github.com/Tanu-N-Prabhu/Python/blob/master/Is_Python_object_oriented%3F.ipynb)
- [Speech Recognition using Python](https://github.com/Tanu-N-Prabhu/Python/blob/master/Speech_Recognition_using_Python.ipynb)
- [One-Hot encoding in Python](https://github.com/Tanu-N-Prabhu/Python/blob/master/Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb)
- [Reading An Image In Python (Without Using Special Libraries)](https://github.com/Tanu-N-Prabhu/Python/blob/master/Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb)
- [Rendering Images inside a Pandas DataFrame](https://github.com/Tanu-N-Prabhu/Python/blob/master/Rendering_Images_inside_a_Pandas_DataFrame.ipynb)
- [Using the Pandas Data Frame as a Database](https://github.com/Tanu-N-Prabhu/Python/blob/master/Using_the_Pandas_Data_Frame_as_a_Database_.ipynb)
- [Using the Pandas Data Frame in Day-To-Day Life](https://github.com/Tanu-N-Prabhu/Python/blob/master/Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb)
- [Presenting Python code using RISE](https://github.com/Tanu-N-Prabhu/Python/blob/master/Presenting_Python_code_using_RISE.ipynb)
- [Cheat Sheet for Google Colab](https://github.com/Tanu-N-Prabhu/Python/blob/master/Cheat_sheet_for_Google_Colab.ipynb)
- [Pick-Up Line Generator using Python Dictionaries](https://github.com/Tanu-N-Prabhu/Python/blob/master/Pick_up_Line_Generator.ipynb)
Chapter 6️⃣ ⮕ Exercises
- [String Concatenation Questions](https://github.com/Tanu-N-Prabhu/Python/blob/master/String_Concatenation_Exercise_Questions.ipynb)
* [String Concatenation Answers](https://github.com/Tanu-N-Prabhu/Python/blob/master/String_Concatenation_Exercise_Answers.ipynb)
- [Built-In Functions Exercise Questions](https://github.com/Tanu-N-Prabhu/Python/blob/master/Built_In_Functions_Exercise_Questions.ipynb)
Chapter 7️⃣ ⮕ Quiz
- [Quiz - 1](https://github.com/Tanu-N-Prabhu/Python/blob/master/Quiz/Python_Quiz_1.ipynb)
- [Quiz - 2](https://github.com/Tanu-N-Prabhu/Python/blob/master/Quiz/Python_Quiz_2.ipynb)
- [Quiz - 3](https://github.com/Tanu-N-Prabhu/Python/blob/master/Quiz/Python_Quiz_3.ipynb)
Chapter 8️⃣ ⮕ Interview Preparation
- [Python Coding Interview Questions (Beginner to Advanced)](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Python%20Coding%20Interview%20Questions%20(Beginner%20to%20Advanced).md)
- [Crack Python Interviews Like a Pro!](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Crack%20Python%20Interviews%20Like%20a%20Pro!.md)
- [35 Python interview questions for experienced](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/35%20Python%20interview%20questions%20for%20experienced.md)
- [Python Interview Questions - Strings](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Python_Interview_Questions_and_Answers_Strings.md)
- [Python Theoretical Interview Questions](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Python_Theoritical_Interview_Questions.md)
- [15 Python Interview Questions and Answers](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Python_Interview_Questions_and_Answers.md)
- [Assigning Candies to Children Problem with Solution](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Children_with_candy.ipynb)
- [Basic Calculator](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Basic_calculator.ipynb)
- [Text Justification](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Text_Justification.ipynb)
- [Removing an Element](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Remove_Element.ipynb)
- [Vowel Count in a Sentence](https://github.com/Tanu-N-Prabhu/Python/blob/master/Vowel_Count.ipynb)
- [Pick-Up Line Generator - Based on Sentiments](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/pick_up_line_generator_sentiments.ipynb)
- [Sentimental Analysis](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Sentimental_Analysis.ipynb)
- [Creating a Regular Polygon Visualizer Using Matplotlib in Python](https://github.com/Tanu-N-Prabhu/Python/blob/master/Python%20Coding%20Interview%20Prep/Draw_polygon.ipynb)
> **Expand** and **Collapse** the above Chapters for more details
---
## Data Science
Follow the steps below to get started learning Data Science!!!
### Data Science Materials
Data Exploration
- [Loading a File using Pandas](https://github.com/Tanu-N-Prabhu/Python/blob/master/data_load.md)
Data Scraping from the Web
- [Scraping Two YouTube Accounts - PewDiePie vs T-Series](https://github.com/Tanu-N-Prabhu/Python/blob/master/Data%20Scraping%20from%20the%20Web/Scraping%20YouTube%20accounts%20with%20python.ipynb)
- [Scraping Rate My Professor Website - My Graduate Professor](https://github.com/Tanu-N-Prabhu/Python/blob/master/Data%20Scraping%20from%20the%20Web/Web_Scraping_Rate_My_Professor_Website.ipynb)
- [Web Scraping vs API: Which Data Extraction Method is Best for Your Needs?](https://github.com/Tanu-N-Prabhu/Python/blob/master/Data%20Scraping%20from%20the%20Web/Web_Scraping_Vs_API.md)
Cracking Transit Data — Calgary 2025
- [How to Decode and Leverage GTFS for Real-Time Transit Insights](https://github.com/Tanu-N-Prabhu/Python/blob/master/Transit_Data_Calgary_2025.ipynb)
---
# Tech is Easy
I’m Tanu Nanda Prabhu, and my passion lies in simplifying complex concepts to make them easier for others to understand. Research is something I deeply enjoy, and after exploring numerous videos, articles, and tutorials, I decided to create a repository dedicated to Google Sheets tips and tricks. I update this repository weekly with valuable insights designed to make your life simpler. I’m also open to contributions from those who wish to help enhance this resource. Feel free to fork the repository and submit updates — I’ll gladly review and consider them.
> [Tech Is Easy](https://github.com/Tanu-N-Prabhu/TechIsEasy)
---
# Nbviewer
If the Jupyter Notebook doesn’t load, don’t worry! Simply copy and paste the link into [nbviewer](https://nbviewer.jupyter.org), as most of my notebooks are accessible there.
---
# Contributors
### Currently, there are about 20 contributors for this repository. Feel free to contribute!
> Want to know how I did this? Refer here for the [docs](https://github.com/Tanu-N-Prabhu/myWebsite.io/blob/master/Docs/Displaying%20Contributors%20Image%20on%20README%20files%20with%20no%20Pain!.md)
---
# Kaggle Datasets
1) [Kaggle Data Sets](https://www.kaggle.com/tanuprabhu/datasets)
---
# HackerRank Exercises - Solved
1) [HackerRank Exercise Solved](https://github.com/Tanu-N-Prabhu/Python/tree/master/Hacker_Rank_Exercises)
---
# Reddit Communities
1) [Python](https://www.reddit.com/r/Python/)
2) [Learn Python](https://www.reddit.com/r/learnpython/)
3) [Python tips](https://www.reddit.com/r/pythontips/)
4) [Python coding](https://www.reddit.com/r/pythoncoding?utm_medium=android_app&utm_source=share)
---
# GPT Librarian 
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here [here](https://chat.openai.com/g/g-2HlDYwyrW-python-from-scratch)
---
# Contact for help
| Contact | Info |
| ------------- |:-------------:|
|  | [email protected] |
|  | [Tanu Nanda Prabhu](https://www.linkedin.com/in/tanu-nanda-prabhu-a15a091b5/) |
| | [Tanu N Prabhu](https://medium.com/@tanunprabhu95)|
| | [Python Coder](https://www.instagram.com/pycoderr/)|
---
# Reviews
Below are some of the reviews about this Python GitHub Repository:
> Elin Uppström - Senior Lecturer at Uppsala University, Sweden.
> I found your excellent exercises on your GitHub while preparing an undergraduate course in data analysis. I want to use it in my course.
> Cole Striler - Data Scientist, Founder of Datafied
> I came across your GitHub and love your Jupyter Notebooks, especially the one on "Predicting PewDiePie's daily subscribers". I think you do a great job at explaining your work, which is something others can learn.
> Laurence Watson - Co-Founder & CEO, Treebeard
> You have a lot of great Jupyter notebook content on GitHub.
> Poonam Gupta - Math & AP Computer Science Instructor, Brunswick School
> Thank you so much for posting such helpful posts on GitHub. Many, many thanks for all you do to spread the knowledge.
**Do you like the Repository? Please drop in your precious reviews by shooting an e-mail**.
---
# Feedback
[Any Feedback or Suggestions- Please Click Here](https://form.jotform.com/92847563204259)
---
# Star History
[](https://star-history.com/#Tanu-N-Prabhu/Python&Date)
---
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