What I want to convey in this article

This is a memorandum. However, it may be helpful if there is someone who overlaps with me. It's not a big article, so don't be afraid.

Who am i

--I want to do Python ――The information gathering routine from the net is troublesome --I tried installing Python for the time being --I tried installing Visual Studio Code for the time being --I tried installing ATOM for the time being --I tried installing Django for the time being --I tried installing Anaconda for the time being --I tried installing PyCharm Professional for the time being, but the 30-day free trial period ended without much touch. ――So, after all, I don't know in which environment Python should be used.

If there are three people who apply, it may be a loss to take a look.

For the time being, erase everything once

The PC is messed up because I have installed various things. So, once you put it in Python, uninstall it.

Yes, this made me feel better.

For the time being, Anaconda

For the time being, there may be some misunderstandings, but I haven't decided on Anaconda properly. If you put Anaconda in, it seems that you can operate it without omission for the time being. (In short, it seems that it will not take time to build the environment) Because it's a package (in short, it's like a set meal).

"*** If you get lost, ask for a set meal for the time being! ***" I'm sure I remembered what Grandpa said.

It seems that the library is smaller than pip, but it will not be a problem for the time being. There is also a Jupyter Notebook that you can easily check with interactive code writing and save it with your notes. There is also an integrated development environment "Spyder" that specializes in the field of scientific computing.

It seems that what I want to do now (analysis system) is covered by adding Anaconda.

Let's touch it when you take a break

I'm thinking of proceeding like this. --Study with Jupyter Notebook (write code, execute and repeat) ――Obtain various things from the source you wrote, analyze them, and go crazy

Summary

If you have a rush of knowledge about Python and your mind or PC is congested, you can reset it, put in a convenient person, play around with it, and then try to build the environment you need.

Finally, "Whenever you do Python, be sure to use a virtual environment." Otherwise, the libraries may interfere with each other, or it may take time due to an extra error. I saw it somewhere.