Python IDLE vs. Swiftify

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

It is recommended to use Swiftify in any situation that requires iOS development because even if you develop just in Swift or just in Objective-C, it could be helpful for researching and investigating purposes. Additionally, if you need to convert big quantities of code from Objective-C to Swift, this tool will optimise that work. It will not translate a whole class of 2000 lines perfectly, but after converting it you can review the code and modify the lines that have not been properly converted, making you save more than the 50% of the time in that case. I've not been able to test it properly as I only used the trial version and it is really limited.

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

• Helps to prevent redoing the whole code.
• Sometimes it is hard to find the exact command of Obj-C in swift.
• It helped me to learn more :)

Incentivized

• 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

• Sometimes the conversion doesn't make much sense. The Swift conversion doesn't compile, or is not optimized.

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

I don't have any problems with the platform. I like that their email responses are fast.

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

There's not much to compare - we haven't found any proprietary like it. Existing OpenSource solutions are unmaintained and Swiftify supports the latest versions of Swift.

• 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

• For now the impact has been small, considering that I used the trial version, it was helpful for small conversions. Summarising: Saving time on researching process

Incentivized