Codeanywhere vs. Python IDLE

If you're looking for a VS Code-like online environment with containers to spin up a dev environment or execute code and scripts it is a good fit. The environments are very customizable, and, all said and done, the price is fair. If you're looking for a remote code editor that allows you to connect via SFTP/SSH and edit the remote files, it isn't quite as seamless as it used to be. I still haven't found any all-cloud alternative, but it could be better.

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Scenarios where python IDLE is well suited 1-Quick scripting and prototyping 2-Education and training 3-small projects utilities 4-exploring python libraries and modules Scenarios where python is less appropriate 1 large scale projects 2 complex debugging and profiling 3 multi language development 4 Advanced code analysis and inspection

• Run development containers with backend and frontend access.
• Allow for multiple users to collaborate and share containers and connections.
• Manage multiple connections to different servers.

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• Firstly, I would say Python IDLE interface is user friendly.
• Easy to learn for the beginners.
• Syntax highlighting is nice features.
• Smart indent helps a lot.

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• Since some updates a couple of years ago, using Codeanywhere as a remote code editor rather than a container-based development environment has been more cumbersome and difficult.
• The modular nature of connections and containers seems like a good idea, but they don't always work properly.
• It's difficult sometimes to share a connection or container together with a collaborator.

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• Too simplistic
• Could not find source revision management integration support
• Only basic debugging is available
• Does not have data-science-specific notebooks (but can be installed separately)

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The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.

This IDE allows you to configure the environment, font, size, colors, .....

It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.

Once the IDE is executed you can start programming directly in it.

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Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.

In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.

As this IDE is made in Python, the support is the same group of Python developers.

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I've used CodeTasty, which is much more of a straight remote code editor, but their dev team is entirely unresponsive, and I became uncomfortable storing credentials with them, so I pulled everything from them and went back to Codeanywhere. VS code is similar but not fully online. While I know that they've released a fully online version, I haven't had the time or wherewith-all to make it work in the capacity I need. Codeanywhere is still the best solution I've found.

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It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter Notebook on my cloud desktop

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• Helped me make mission critical edits remotely and on-the-fly.
• Spent a bit of time figuring out the change in user interfaces.

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• In a short time, we were able to develop several ML models for various teams to make accurate decisions.
• Beginners can easily understand and adapt to GUI.
• We could automate several manual validation tasks and so could reduce human intervention.

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