Cursor vs. Python IDLE

It is great for non-coders who have some technology knowledge and are comfortable following Cursor's instructions to build and deploy a webapp. Good prompting skills are needed. It is not for those who are not comfortable looking at raw codes. Cursor also is not very creative when it comes to user interface design.

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

• state-of-art IDE
• Best LLMs one click away
• Code suggestions very easy to use

Incentivized

• 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.

Incentivized

• Very complex user interface
• As it generate codes for additional features, it sometimes affects existing funtions
• Black interface hard to read

• 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)

Incentivized

Really easy to use; we've been replacing all other IDEs for it now. As it is a fork of Visual Studio Code, we transitioned to it in a very smooth way, and now our development process is faster than ever. It supports a bunch of languages and we don't need to have a webpage with an LLM open now because it is all with Cursor.

Incentivized

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.

Incentivized

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.

Incentivized

Softr's chat AI is less sophisticated. However, it is great for building simple database-driven webapps. I have used it together with Airtable to build a very simple webapp. It is drag and drop. Vercel V0's chatAI is faster and more friendly. The user interface is also more visually appealing and user friendly. It is comparable to Cursor though I have only used V0 briefly so have not gone through the learning curve.

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

Incentivized

• Development speed increased at least 25%
• The result of the final Product is better than before/without it
• We use it as a standard now

Incentivized

• 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.

Incentivized