Study Python with Google Colaboratory
Speaking of machine learning, Python
AI and machine learning have been the focus of attention for some time. As an engineer, I thought it was necessary to study as much as I could, so I decided to study the basics from now on.
First of all, when studying, I referred to the following pages.
After all, it seems that Python is common when it comes to machine learning, so I'll start by studying Python.
Preparing to learn Python
If you take the time to build an environment to learn Python, and eventually machine learning, the motivation for learning may drop. It's just for learning, so I wanted to build it quickly, but it seems that Python can be executed via a web browser by using Colaboratory (abbreviation: Colab) provided by Google. In addition, it seems that the configuration for machine learning is built and the GPU can be used for free.
How to use Google Colaboratory
Create / log in to Google account
First, create an account on Google.
Go to the Google site and press "Login" in the upper right.
The login screen will appear, so press "Create Account" at the bottom left. Then register the required information and create an account.
After that, log in to the Google site with the registered account.
Create a folder in Google Drive
Create a folder in Google Drive for Google Colaboratory.
Added Colaboratory app on Google Drive folder
Right-click the created folder and select "Open with"-"Add app".
A dialog will appear where you can add various apps, but enter "Colaboratory" in the search text field at the top of the dialog and select the app "Colaboratory" that appears.
Then press the install button to install.
Accept the terms of use and privacy policy and press the "Continue" button.
Then, the installation will be completed.
Python execution
Right-click the folder on Google Drive you just created and select "Other"-"Google Corablratory".
A screen for entering Python code will appear.
Enter the Python code in the text field and press the play button "▶ ︎" on the left side to execute the entered Python code.
Now you have a Python runtime environment. In the future, I would like to study while executing Python code.
Thank you to everyone who read to the end.
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