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 personally use Google Colab for python programming. It's one of the best interactive tool 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!!!

Chapter 1: Basic Concepts

1.1 Python Input, Output and Import functions

1.2 Python Variables

Python Global, Local and Nonlocal Variables

1.3 Python Strings

1.4 Python Lists

1.5 Python Tuples

1.6 Python Dictionary

1.7 Python Operators

Chapter 2: Python Built-in Functions

2.1 Python Input, Output and Import built-in-functions

2.2 Eval built-in-function

2.3 Range built-in-function

2.4 Python Lambda Function

2.5 Python Enumerate Function

2.6 Python len function

Chapter 3: Python Libraries

3.1 Numpy library

3.2 Pandas library

3.3 Math Module

3.4 JSON library

Chapter 4: Python API's

4.1 Google Translate API for Python

4.2 Google Trends API for Python

4.3 Wikipedia API for Python

4.4 Google Search API for Python

Chapter 5: Additional Python Materials

5.1 How to get started coding in Python?

5.2 Is Python Object Oriented?

5.3 Speech Recognition using Python

5.4 One-Hot encoding in Python

5.5 Reading An Image In Python (Without Using Special Libraries)

5.6 Rendering Images inside a Pandas DataFrame

5.7 Using the Pandas Data Frame as a Database

5.8 Using the Pandas DataFrame in Day-To-Day Life

5.9 Presenting Python code using RISE

5.10 Cheat Sheet for Google Colab

Chapter 6 - Exercises

6.1 String Concatenation Questions

String Concatenation Answers

6.2 Built-In Functions Exercise Questions

Chapter 7 - Quiz

Subchapter 7.1 - Coding Quiz

7.1.1 Quiz - 1

7.1.2 Quiz - 2

7.1.3 Quiz - 3

Data Science

Follow the steps down below to get started learning Data Science!!!

The contents for Data Science can be found below:

Data Scraping from the Web

Data Cleaning and Scrubbing

Exploring the data from the Web

Predicting the data

Nbviewer

If the jupyter notebook doesn't load. Don't worry just 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

I am an Author @

Towards Data Science

Analytics-Vidhya

Kotlin Academy

The Start up

Kaggle

My Kaggle Data Sets

HackerRank Exercises

HackerRank Exercise Solved

Reddit Communities

Python

Learn python

Python tips

Python coding

Submit you articles here

Data Science from Scratch

Contact for help

Contact Info

Gmail tanuprabhu96@gmail.com

Phone number +1 306-737-9073

Facebook Tanu 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 Feedbacks or Suggestions- Please Click Here

Version

Version 9.14- Last Updated on January 17 2021 - 10:18 PM

Name		Name	Last commit message	Last commit date
Latest commit History 537 Commits
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
Pandas		Pandas
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
Data_Scraping_from_the_web.ipynb		Data_Scraping_from_the_web.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
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
Web_scraping_Rate_My_Professor.ipynb		Web_scraping_Rate_My_Professor.ipynb
Wikipedia_API_for_Python.ipynb		Wikipedia_API_for_Python.ipynb

Contact	Info
Gmail	tanuprabhu96@gmail.com
Phone number	+1 306-737-9073
Facebook	Tanu N Prabhu
Instagram	tanunprabhu
Linkedin	Tanu Nanda Prabhu

Bakhtaki/DataSience-Basics

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Python Programming Hub

One of the best places to learn Python and Data Science

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.

Repository Contents

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

Python Coding

Chapter 1: Basic Concepts

Chapter 2: Python Built-in Functions

Chapter 3: Python Libraries

Chapter 4: Python API's

Chapter 5: Additional Python Materials

Chapter 6 - Exercises

Chapter 7 - Quiz

Subchapter 7.1 - Coding Quiz

Data Science

Nbviewer

Contributors

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

I am an Author @

Kaggle