A python IDE that you can use anywhere

daniel2231

Daniel Kang

Posted on June 3, 2020

A python IDE that you can use anywhere

As a student who travels a lot (pub - campus - cafe - home), I tend to carry around my macbook air because its light (and I hate heavy things). However, macbook air isn't really a powerful machine and it often drives me mad when the code I'm trying to run is too heavy to run.

I've been trying a lot of things to solve this problem, but recently I found that an online IDE might help run my codes from my laptop.

So I did some quick research and found some products that might help.

  • glitch
  • goormIDE
  • Repl.it
  • Visual Studio Online
  • paiza.io

Now, all these IDEs were ok, but the one that felt easy to use and setup was goormIDE. So today, I would like to write a short tutorial on how to setup a python development environment in goormIDE.

Registration

First, we need to sign up for a free account.
Link to goormIDE: https://ide.goorm.io/

Now click Sign Up, and complete the signup process. (It doesn't take long)

After registration, you will be redirected to your dashboard.

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Setup

Now, lets try making a new container where we will install everything we need to work with python. Click the create new container button (as this is a free tier account, you can only make 5 containers)

Write your container name, select a region, and select the python stack. Now, if we see the bottom of the page, we can see that with a single click, all the things that you will need for python development is installed.

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Now click the create button on the top right of the page. After a bit of time, a popup will prompt you if you would like to run your container. Click run container.

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And presto! You got your own online python IDE! Now, lets check if we got all the stuff we need installed.

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I'm going to use tensorflow, so I will only check if python and tensorflow is installed.
Lets first try checking if python is correctly installed.

python --version
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Great!

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Now lets try tensorflow.

python3 -c 'import tensorflow as tf; print(tf.__version__)'
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Good. Everything is in place.

Now, you can connect to your container from anywhere, which is great for me as I don't have to buy a new laptop.

That's all for now, I will post further tutorials as I get used to the new IDE I will be using for a while.

💖 💪 🙅 🚩
daniel2231
Daniel Kang

Posted on June 3, 2020

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