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Repl.it Online IDE - Free Online IDE

Join a thriving community and access valuable resources. Repl.it

See Demo on Repl :- https://repl.it/@SH20RAJ/Fluidplayer#index.html

Unless you're doing something super-fancy like coding an RPG with real world data, this shouldn't be too difficult. Could you share your code on https://repl.it or github.com or something?

Suggestion: post to https://repl.it/ so we can run it and help more directly

I had been writing this on repl.it and that appears to have been the issue.

There's a selection of IDEs that can run your whole environment online and interface it through your browser: repl.it, GitHub Codespaces, etc.

First thing to do is open a free account on https://repl.it

I'm a longtime C# dev and I used VS code for the first time today because I wanted something quick. Don't. Just don't use it. I'd use repl.it sooner than vs code again. Get visual studio 2022

A Colab notebook.

To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab.

Please head over to the Google Colab

But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free.

访问 Google Colab 。

Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals.

Open your web browser and navigate to Google Colab.

Using Google Colab you can develop Python codes, similar to Jupyter Notebooks. You will have an environment prepared with various Python libraries. In addition you have tips on small codes for development, some tutorials, gihub connection, cloud -saved notebooks and more.