Nice to meet you. Since I started Qiita, I would like to summarize the process until I can use Google Colaboratory, which I use for a little deep learning, as well as practice writing blogs!
・ People who want to start programming in the humanities ・ People who want to start deep learning, people who want to use a free GPU environment
I think that the number of people who are using or trying to use python is increasing due to the artificial intelligence (AI) boom. I'm sure some of them have never dealt with programming before. For such people, I think the first barrier is the construction of an execution environment. As a relatively easy-to-understand thing to handle python, I installed Anaconda and jupyter notebook ..... There is something like that, but it was very difficult for me as a non-information system and it took many days just for this lol We recommend Google colaboratory first so that it doesn't happen.
As the name suggests, Google colaboratory (hereinafter corab) is a service provided by Google, and it is a jupyter notebook environment that runs on the cloud .... I thought that if you don't understand well, you can run python anyway. Please!
colab runs a python program on Google Drive. Therefore, please log in to Google Drive first!
If the screen looks like this ... Right-click around the center of the screen!
If the part surrounded by the red frame comes out .....
Click Other → Add App! Then I think that such a thing will come out.
Here, enter "colab" in "Search in apps" to search ...
Click on Colaboratory ...
Click Install .... You will be asked for various permits, so if you click as you are told ...
Installation complete! This completes the python execution environment!
Let's actually write a python program!
Right-click on the drive → Other → Click Google Colaboratory ....
Change the Untitled0 to your favorite name!
Type print ("Hello Colab ")
....
Click the arrow button or press Ctrl + Enter to execute ....
Hello Colab! If the output is
, the execution is successful!
You can run a python program like this!
Next, I would like to write my first Deep learning article.
Thank you for your hard work!
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