[PYTHON] Feel free to knock 100 data sciences with Google Colab and Azure Notebooks!

Introduction

Impressed by the wonderfulness of "Data Science 100 Knock (Structured Data Processing)" announced by the Data Scientist Association on June 15, 2020, I immediately solved the drill and took a dizzying adventure in data science. I was enjoying it.

However, when I suddenly noticed, Original's 100 data science knocks (structured data processing) are provided in Docker format, and while practical exercises are possible, it was easy. I thought that there are many people who have the same feelings, so I created an exercise script and an answer script that can be executed with Google Colab and Azure Notebook to make it easier to knock 100 books. As the creator, I can only use Python, so only Python. I'm sorry for the R group.

How to get started

I uploaded the code + description here. Take a look at Qiita here or see README.md on Github.

noguhiro2002/100knocks-preprocess_ForColab-AzureNotebook https://github.com/noguhiro2002/100knocks-preprocess_ForColab-AzureNotebook

No, so how do you do it?

When using Google Colab

1. Click here

2. Exercise: https://github.com/noguhiro2002/100knocks-preprocess_ForColab-AzureNotebook/blob/master/preprocess_knock_Python_Colab.ipynb

3. Answers: https://github.com/noguhiro2002/100knocks-preprocess_ForColab-AzureNotebook/blob/master/answer/ans_preprocess_knock_Python_Colab.ipynb

4. Click "Open in Colab" at the top of the ipynb file preview.

5. Alternatively, go to File at the top of the Google Colab screen-> Open Notebook-> Select the "GitHub" tab-> "Enter GitHub URL or search by organization or user" to "noguhiro2002 / 100knocks-preprocess_ForColab" Enter "-Azure Notebook" and search-> Open "preprocess_knock_Python_Colab.ipynb" from the list that appears. For the answer, open "answer / ans_preprocess_knock_Python_Colab.ipynb".

6. Enjoy 100 knocks.

When using Azure Notebooks

1. After connecting to Azure Notebooks, enter the project. If not, create a suitable project.
2. From "Upload", select "From URL".
3. Enter "https://raw.githubusercontent.com/noguhiro2002/100knocks-preprocess_ForColab-AzureNotebook/master/preprocess_knock_Python_Azure.ipynb" in File Url, check "I trust the contents of this file", and click " Click "Done".
4. For the answer, enter "https://raw.githubusercontent.com/noguhiro2002/100knocks-preprocess_ForColab-AzureNotebook/master/answer/ans_preprocess_knock_Python_Azure.ipynb".
5. The file will be imported automatically and the jupyter notebook will run.
6. Enjoy 100 knocks.

original

The Data Scientist Society

The-Japan-DataScientist-Society/100knocks-preprocess https://github.com/The-Japan-DataScientist-Society/100knocks-preprocess

Acknowledgments & Postscript

We have created the wonderful educational content created by the Data Scientist Association with the hope that it will be used by as many people as possible. We would like to take this opportunity to thank the Data Scientist Association. All source code rights belong to the Data Scientist Association. We hope that many people will feel free to improve their skills using Google Colab and Azure Notebooks. Please contact me if you have any problems with my content.