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Data Scraping from the Web
Data Scraping from the Web
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Dictionary
Dictionary
Exercises
Exercises
Exploratory Data Analysis
Exploratory Data Analysis
Google Translate API
Google Translate API
Hacker_Rank_Exercises
Hacker_Rank_Exercises
Img
Img
Lists
Lists
Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
Pandas
Python Coding Interview Prep
Python Coding Interview Prep
Quiz
Quiz
Src
Src
Strings
Strings
Tuples
Tuples
src
src
.gitpod.Dockerfile
.gitpod.Dockerfile
.gitpod.yml
.gitpod.yml
Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
Presenting_Python_code_using_RISE.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
Python_Variables.ipynb
Python_Variables.ipynb
Python_enumerate()_built_in_function.ipynb
Python_enumerate()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
README.md
README.md
Range_built_in_function.ipynb
Range_built_in_function.ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Questions.ipynb
String_Concatenation_Exercise_Questions.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
University_of_Regina_Professor's_salary.ipynb
University_of_Regina_Professor's_salary.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Wikipedia_API_for_Python.ipynb
Wikipedia_API_for_Python.ipynb
data_load.md
data_load.md

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Python Programming Hub

One of the best places to learn Python and Data Science

DiscordGitHub forksGitHub starsGitHub repo sizeGitHub contributorsGitpod ready-to-code
space-1.jpg
Image Credits Wallpaper Flare

Hits

This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!!

Installation tools

Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.

Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab

I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.

Repository Contents

This repository is divided into two parts such as Python Coding and Data Science for Beginners.

Python Coding

Follow the steps down below to get started coding in Python!!!

Pythonic Materials

Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation

👉 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
Data Scraping from the Web

Tech is Easy

I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.

Tech Is Easy

Nbviewer

If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.

Contributors

Currently there are 10 contributors for this repository. Feel free to contribute!

Want to know, how I did this. Refer here for the docs

Kaggle Datasets

  1. Kaggle Data Sets

HackerRank Exercises - Solved

  1. HackerRank Exercise Solved

Reddit Communities

  1. Python
  2. Learn Python
  3. Python tips
  4. Python coding

Submit your articles here

  1. Data Science from Scratch

GPT Librarian

If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here

Contact for help

ContactInfo
Gmailtanuprabhu96@gmail.com
FacebookTanu N Prabhu
Instagram tanunprabhu
Linkedin Tanu Nanda Prabhu

Reviews

Below given are some of the reviews about this Python GitHub Repository:

‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden.
I found your excellent exercises at your GitHub wile preparing 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

Version

Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM

Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown

About

This repository helps you understand python from the scratch.

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

Packages

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Data Scraping from the Web
Data Scraping from the Web
Data_Cleaning
Data_Cleaning
Dictionary 
Dictionary 
Exercises
Exercises
Exploratory Data Analysis
Exploratory Data Analysis
Google Translate API
Google Translate API
Hacker_Rank_Exercises
Hacker_Rank_Exercises
Img
Img
Lists
Lists
Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
Pandas
Python Coding Interview Prep
Python Coding Interview Prep
Quiz
Quiz
Src
Src
Strings
Strings
Tuples
Tuples
src
src
.gitpod.Dockerfile
.gitpod.Dockerfile
.gitpod.yml
.gitpod.yml
Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
Presenting_Python_code_using_RISE.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
Python_Variables.ipynb
Python_Variables.ipynb
Python_enumerate()_built_in_function.ipynb
Python_enumerate()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
README.md
README.md
Range_built_in_function.ipynb
Range_built_in_function.ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Questions.ipynb
String_Concatenation_Exercise_Questions.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
University_of_Regina_Professor's_salary.ipynb
University_of_Regina_Professor's_salary.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Wikipedia_API_for_Python.ipynb
Wikipedia_API_for_Python.ipynb
data_load.md
data_load.md
Repository files navigation
Python Programming Hub
One of the best places to learn Python and Data Science
DiscordGitHub forksGitHub starsGitHub repo sizeGitHub contributorsGitpod ready-to-code
space-1.jpg
Image Credits Wallpaper Flare
Hits
 This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!! 
Installation tools
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Repository Contents
This repository is divided into two parts such as Python Coding and Data Science for Beginners.
Python Coding
Follow the steps down below to get started coding in Python!!!
Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation
👉 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
Data Scraping from the Web
Tech is Easy
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
Tech Is Easy
Nbviewer
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Contributors
Currently there are 10 contributors for this repository. Feel free to contribute!
Want to know, how I did this. Refer here for the docs
Kaggle Datasets
  1. Kaggle Data Sets
HackerRank Exercises - Solved
  1. HackerRank Exercise Solved
Reddit Communities
  1. Python
  2. Learn Python
  3. Python tips
  4. Python coding
Submit your articles here
  1. Data Science from Scratch
GPT Librarian 
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here
Contact for help
ContactInfo
Gmailtanuprabhu96@gmail.com
FacebookTanu N Prabhu
Instagram tanunprabhu
Linkedin Tanu Nanda Prabhu
Reviews
Below given are some of the reviews about this Python GitHub Repository:
‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden. 

I found your excellent exercises at your GitHub wile preparing 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
Version
 Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM 
Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown
About
This repository helps you understand python from the scratch.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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})();
(function(){
try {
var __m = "*";
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History
775 Commits
Folders and files
NameName
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Data Scraping from the Web
Data Scraping from the Web
Data_Cleaning
Data_Cleaning
Dictionary 
Dictionary 
Exercises
Exercises
Exploratory Data Analysis
Exploratory Data Analysis
Google Translate API
Google Translate API
Hacker_Rank_Exercises
Hacker_Rank_Exercises
Img
Img
Lists
Lists
Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
Pandas
Python Coding Interview Prep
Python Coding Interview Prep
Quiz
Quiz
Src
Src
Strings
Strings
Tuples
Tuples
src
src
.gitpod.Dockerfile
.gitpod.Dockerfile
.gitpod.yml
.gitpod.yml
Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
Presenting_Python_code_using_RISE.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
Python_Variables.ipynb
Python_Variables.ipynb
Python_enumerate()_built_in_function.ipynb
Python_enumerate()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
README.md
README.md
Range_built_in_function.ipynb
Range_built_in_function.ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Questions.ipynb
String_Concatenation_Exercise_Questions.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
University_of_Regina_Professor's_salary.ipynb
University_of_Regina_Professor's_salary.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Wikipedia_API_for_Python.ipynb
Wikipedia_API_for_Python.ipynb
data_load.md
data_load.md
Repository files navigation
Python Programming Hub
One of the best places to learn Python and Data Science
DiscordGitHub forksGitHub starsGitHub repo sizeGitHub contributorsGitpod ready-to-code
space-1.jpg
Image Credits Wallpaper Flare
Hits
 This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!! 
Installation tools
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Repository Contents
This repository is divided into two parts such as Python Coding and Data Science for Beginners.
Python Coding
Follow the steps down below to get started coding in Python!!!
Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation
👉 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
Data Scraping from the Web
Tech is Easy
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
Tech Is Easy
Nbviewer
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Contributors
Currently there are 10 contributors for this repository. Feel free to contribute!
Want to know, how I did this. Refer here for the docs
Kaggle Datasets
  1. Kaggle Data Sets
HackerRank Exercises - Solved
  1. HackerRank Exercise Solved
Reddit Communities
  1. Python
  2. Learn Python
  3. Python tips
  4. Python coding
Submit your articles here
  1. Data Science from Scratch
GPT Librarian 
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here
Contact for help
ContactInfo
Gmailtanuprabhu96@gmail.com
FacebookTanu N Prabhu
Instagram tanunprabhu
Linkedin Tanu Nanda Prabhu
Reviews
Below given are some of the reviews about this Python GitHub Repository:
‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden. 

I found your excellent exercises at your GitHub wile preparing 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
Version
 Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM 
Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown
About
This repository helps you understand python from the scratch.
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try {
var __m = "*";
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Exploratory Data Analysis
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Google Translate API
Hacker_Rank_Exercises
Hacker_Rank_Exercises
Img
Img
Lists
Lists
Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
Pandas
Python Coding Interview Prep
Python Coding Interview Prep
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Quiz
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Src
Strings
Strings
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src
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.gitpod.Dockerfile
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.gitpod.yml
Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
Presenting_Python_code_using_RISE.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
Python_Variables.ipynb
Python_Variables.ipynb
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Python_len()_built_in_function.ipynb
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Range_built_in_function.ipynb
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Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
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Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Questions.ipynb
String_Concatenation_Exercise_Questions.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
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Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Wikipedia_API_for_Python.ipynb
Wikipedia_API_for_Python.ipynb
data_load.md
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Repository files navigation
Python Programming Hub
One of the best places to learn Python and Data Science
DiscordGitHub forksGitHub starsGitHub repo sizeGitHub contributorsGitpod ready-to-code
space-1.jpg
Image Credits Wallpaper Flare
Hits
 This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!! 
Installation tools
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Repository Contents
This repository is divided into two parts such as Python Coding and Data Science for Beginners.
Python Coding
Follow the steps down below to get started coding in Python!!!
Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation
👉 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
Data Scraping from the Web
Tech is Easy
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
Tech Is Easy
Nbviewer
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Contributors
Currently there are 10 contributors for this repository. Feel free to contribute!
Want to know, how I did this. Refer here for the docs
Kaggle Datasets
  1. Kaggle Data Sets
HackerRank Exercises - Solved
  1. HackerRank Exercise Solved
Reddit Communities
  1. Python
  2. Learn Python
  3. Python tips
  4. Python coding
Submit your articles here
  1. Data Science from Scratch
GPT Librarian 
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here
Contact for help
ContactInfo
Gmailtanuprabhu96@gmail.com
FacebookTanu N Prabhu
Instagram tanunprabhu
Linkedin Tanu Nanda Prabhu
Reviews
Below given are some of the reviews about this Python GitHub Repository:
‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden. 

I found your excellent exercises at your GitHub wile preparing 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
Version
 Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM 
Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown
About
This repository helps you understand python from the scratch.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Dictionary 
Dictionary 
Exercises
Exercises
Exploratory Data Analysis
Exploratory Data Analysis
Google Translate API
Google Translate API
Hacker_Rank_Exercises
Hacker_Rank_Exercises
Img
Img
Lists
Lists
Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
Pandas
Python Coding Interview Prep
Python Coding Interview Prep
Quiz
Quiz
Src
Src
Strings
Strings
Tuples
Tuples
src
src
.gitpod.Dockerfile
.gitpod.Dockerfile
.gitpod.yml
.gitpod.yml
Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
Presenting_Python_code_using_RISE.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
Python_Variables.ipynb
Python_Variables.ipynb
Python_enumerate()_built_in_function.ipynb
Python_enumerate()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
README.md
README.md
Range_built_in_function.ipynb
Range_built_in_function.ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Questions.ipynb
String_Concatenation_Exercise_Questions.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
University_of_Regina_Professor's_salary.ipynb
University_of_Regina_Professor's_salary.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Wikipedia_API_for_Python.ipynb
Wikipedia_API_for_Python.ipynb
data_load.md
data_load.md
Repository files navigation
Python Programming Hub
One of the best places to learn Python and Data Science
DiscordGitHub forksGitHub starsGitHub repo sizeGitHub contributorsGitpod ready-to-code
space-1.jpg
Image Credits Wallpaper Flare
Hits
 This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!! 
Installation tools
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Repository Contents
This repository is divided into two parts such as Python Coding and Data Science for Beginners.
Python Coding
Follow the steps down below to get started coding in Python!!!
Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation
👉 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
Data Scraping from the Web
Tech is Easy
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
Tech Is Easy
Nbviewer
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Contributors
Currently there are 10 contributors for this repository. Feel free to contribute!
Want to know, how I did this. Refer here for the docs
Kaggle Datasets
  1. Kaggle Data Sets
HackerRank Exercises - Solved
  1. HackerRank Exercise Solved
Reddit Communities
  1. Python
  2. Learn Python
  3. Python tips
  4. Python coding
Submit your articles here
  1. Data Science from Scratch
GPT Librarian 
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here
Contact for help
ContactInfo
Gmailtanuprabhu96@gmail.com
FacebookTanu N Prabhu
Instagram tanunprabhu
Linkedin Tanu Nanda Prabhu
Reviews
Below given are some of the reviews about this Python GitHub Repository:
‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden. 

I found your excellent exercises at your GitHub wile preparing 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
Version
 Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM 
Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown
About
This repository helps you understand python from the scratch.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
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Google Translate API
Hacker_Rank_Exercises
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Lists
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Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
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Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
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Python_Input,_Output_and_Import.ipynb
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Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
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Python_Variables.ipynb
Python_enumerate()_built_in_function.ipynb
Python_enumerate()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
README.md
README.md
Range_built_in_function.ipynb
Range_built_in_function.ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
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Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
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Python Programming Hub
One of the best places to learn Python and Data Science
DiscordGitHub forksGitHub starsGitHub repo sizeGitHub contributorsGitpod ready-to-code
space-1.jpg
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 This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!! 
Installation tools
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Repository Contents
This repository is divided into two parts such as Python Coding and Data Science for Beginners.
Python Coding
Follow the steps down below to get started coding in Python!!!
Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation
👉 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
Data Scraping from the Web
Tech is Easy
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
Tech Is Easy
Nbviewer
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Contributors
Currently there are 10 contributors for this repository. Feel free to contribute!
Want to know, how I did this. Refer here for the docs
Kaggle Datasets
  1. Kaggle Data Sets
HackerRank Exercises - Solved
  1. HackerRank Exercise Solved
Reddit Communities
  1. Python
  2. Learn Python
  3. Python tips
  4. Python coding
Submit your articles here
  1. Data Science from Scratch
GPT Librarian 
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Contact for help
ContactInfo
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FacebookTanu N Prabhu
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Linkedin Tanu Nanda Prabhu
Reviews
Below given are some of the reviews about this Python GitHub Repository:
‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden. 

I found your excellent exercises at your GitHub wile preparing 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
Version
 Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM 
Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown
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This repository helps you understand python from the scratch.
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
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})();
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var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Exploratory Data Analysis
Google Translate API
Google Translate API
Hacker_Rank_Exercises
Hacker_Rank_Exercises
Img
Img
Lists
Lists
Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
Pandas
Python Coding Interview Prep
Python Coding Interview Prep
Quiz
Quiz
Src
Src
Strings
Strings
Tuples
Tuples
src
src
.gitpod.Dockerfile
.gitpod.Dockerfile
.gitpod.yml
.gitpod.yml
Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
Presenting_Python_code_using_RISE.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
Python_Variables.ipynb
Python_Variables.ipynb
Python_enumerate()_built_in_function.ipynb
Python_enumerate()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
README.md
README.md
Range_built_in_function.ipynb
Range_built_in_function.ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Questions.ipynb
String_Concatenation_Exercise_Questions.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
University_of_Regina_Professor's_salary.ipynb
University_of_Regina_Professor's_salary.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Wikipedia_API_for_Python.ipynb
Wikipedia_API_for_Python.ipynb
data_load.md
data_load.md
Repository files navigation
Python Programming Hub
One of the best places to learn Python and Data Science
DiscordGitHub forksGitHub starsGitHub repo sizeGitHub contributorsGitpod ready-to-code
space-1.jpg
Image Credits Wallpaper Flare
Hits
 This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!! 
Installation tools
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Repository Contents
This repository is divided into two parts such as Python Coding and Data Science for Beginners.
Python Coding
Follow the steps down below to get started coding in Python!!!
Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation
👉 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
Data Scraping from the Web
Tech is Easy
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
Tech Is Easy
Nbviewer
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Contributors
Currently there are 10 contributors for this repository. Feel free to contribute!
Want to know, how I did this. Refer here for the docs
Kaggle Datasets
  1. Kaggle Data Sets
HackerRank Exercises - Solved
  1. HackerRank Exercise Solved
Reddit Communities
  1. Python
  2. Learn Python
  3. Python tips
  4. Python coding
Submit your articles here
  1. Data Science from Scratch
GPT Librarian 
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here
Contact for help
ContactInfo
Gmailtanuprabhu96@gmail.com
FacebookTanu N Prabhu
Instagram tanunprabhu
Linkedin Tanu Nanda Prabhu
Reviews
Below given are some of the reviews about this Python GitHub Repository:
‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden. 

I found your excellent exercises at your GitHub wile preparing 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
Version
 Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM 
Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown
About
This repository helps you understand python from the scratch.
Resources
Readme
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Data Scraping from the Web
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Dictionary 
Dictionary 
Exercises
Exercises
Exploratory Data Analysis
Exploratory Data Analysis
Google Translate API
Google Translate API
Hacker_Rank_Exercises
Hacker_Rank_Exercises
Img
Img
Lists
Lists
Numpy
Numpy
Oil Refineries
Oil Refineries
Pandas
Pandas
Python Coding Interview Prep
Python Coding Interview Prep
Quiz
Quiz
Src
Src
Strings
Strings
Tuples
Tuples
src
src
.gitpod.Dockerfile
.gitpod.Dockerfile
.gitpod.yml
.gitpod.yml
Built_In_Functions_Exercise_Questions.ipynb
Built_In_Functions_Exercise_Questions.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Cheat_sheet_for_Google_Colab.ipynb
Data_Analysis.ipynb
Data_Analysis.ipynb
Eval_built_in_function.ipynb
Eval_built_in_function.ipynb
Exploratory_data_Analysis.ipynb
Exploratory_data_Analysis.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Global,_Local_and_Nonlocal_variables_in_Python.ipynb
Google_Trends_API.ipynb
Google_Trends_API.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_create_NumPy_arrays_from_scratch?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_get_started_coding_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
How_to_handle_JSON_in_Python?.ipynb
Is_Python_object_oriented?.ipynb
Is_Python_object_oriented?.ipynb
Learn_the_Python_Math_Module.ipynb
Learn_the_Python_Math_Module.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Learning_One_Hot_Encoding_in_Python_the_Easy_Way.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Manipulating_the_data_with_Pandas_using_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Mastering_the_Bar_Plot_in_Python.ipynb
Normalization_vs_Standardization.ipynb
Normalization_vs_Standardization.ipynb
Pick_up_Line_Generator.ipynb
Pick_up_Line_Generator.ipynb
Playing_with_Titanic_Dataset.ipynb
Playing_with_Titanic_Dataset.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Predicting_PewDiePie's_daily_subscribers_using_Machine_Learning_.ipynb
Presenting_Python_code_using_RISE.ipynb
Presenting_Python_code_using_RISE.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Input,_Output_and_Import.ipynb
Python_Lambda_Function.ipynb
Python_Lambda_Function.ipynb
Python_Operators.ipynb
Python_Operators.ipynb
Python_Variables.ipynb
Python_Variables.ipynb
Python_enumerate()_built_in_function.ipynb
Python_enumerate()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
Python_len()_built_in_function.ipynb
README.md
README.md
Range_built_in_function.ipynb
Range_built_in_function.ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Reading_An_Image_In_Python_(Without_Using_Special_Libraries).ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Rendering_Images_inside_a_Pandas_DataFrame.ipynb
Speech_Recognition_using_Python.ipynb
Speech_Recognition_using_Python.ipynb
Splitting_the_dataset_into_three_sets.ipynb
Splitting_the_dataset_into_three_sets.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Answers.ipynb
String_Concatenation_Exercise_Questions.ipynb
String_Concatenation_Exercise_Questions.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
The_two_Google_Search_Python_Libraries_you_should_never_miss.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
Top_Python_Libraries_Used_In_Data Science.ipynb
University_of_Regina_Professor's_salary.ipynb
University_of_Regina_Professor's_salary.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_DataFrame_in_Day_To_Day_Life.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Using_the_Pandas_Data_Frame_as_a_Database_.ipynb
Wikipedia_API_for_Python.ipynb
Wikipedia_API_for_Python.ipynb
data_load.md
data_load.md
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Python Programming Hub
One of the best places to learn Python and Data Science
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 This repository gives to enough knowledge about python programming, data science and also helps you to survive in this programming world !!! 
Installation tools
Below are some tools that you can download before getting started with Python, now it’s a preference, so download whichever that fits the best for you.
Name of the tools
Python download
Visual Studio Code
Jupyter Notebook
Google Colab
I use Google Colab for Python programming. It's one of the best interactive tools in the world. I like it because I can provide more documentation to the code and write some quality tutorials.
Repository Contents
This repository is divided into two parts such as Python Coding and Data Science for Beginners.
Python Coding
Follow the steps down below to get started coding in Python!!!
Pythonic Materials
Chapter 1️⃣ ⮕ Basic Concepts
Chapter 2️⃣ ⮕ Built-in Functions
Chapter 3️⃣ ⮕ Libraries
Chapter 4️⃣ ⮕ API's
Chapter 5️⃣ ⮕ Additional Materials
Chapter 6️⃣ ⮕ Exercises
Chapter 7️⃣ ⮕ Quiz
Chapter 8️⃣ ⮕ Interview Preparation
👉 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
Data Scraping from the Web
Tech is Easy
I Tanu Nanda Prabhu, always like simplifying complex things so that others can understand them more easily and better. Researching is my passion, I go through a ton of videos, articles, and tutorials and conclude starting a repository that purely contains tips and tricks for using Google Sheets. I update this repository every week with tons of information that will make your life simple. I am also seeking help from people who want to contribute to my repository. Feel free to Fork it and add updates, I will consider it.
Tech Is Easy
Nbviewer
If the jupyter notebook doesn't load. Don't worry copy and paste the link to nbviewer. Because most of my jupyter notebooks are not loading.
Contributors
Currently there are 10 contributors for this repository. Feel free to contribute!
Want to know, how I did this. Refer here for the docs
Kaggle Datasets
  1. Kaggle Data Sets
HackerRank Exercises - Solved
  1. HackerRank Exercise Solved
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  2. Learn Python
  3. Python tips
  4. Python coding
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  1. Data Science from Scratch
GPT Librarian 
If you have access to ChatGPT premium, there is a GPT Librarian with access to all files here here
Contact for help
ContactInfo
Gmailtanuprabhu96@gmail.com
FacebookTanu N Prabhu
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Linkedin Tanu Nanda Prabhu
Reviews
Below given are some of the reviews about this Python GitHub Repository:
‪Elin Uppström - Senior Lecturer at Uppsala University, Sweden. 

I found your excellent exercises at your GitHub wile preparing 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.
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Version
 Version 14 - Last Updated on Jan 07, 2024 - 7:46 PM 
Open SourceMaintened by - Tanu Nanda Prabhumade-with-Markdown
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This repository helps you understand python from the scratch.
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