Python IDLE vs. The Welkin Suite

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

The Welkin Suite is a great IDE compared to the alternatives out there. If you need to code in Salesforce and you want a mostly seamless environment, then The Welkin Suite is the best option available, in my opinion. I have also been using it for Apex Tests and find that the tools are really good for measuring code coverage and highlighting those areas that are uncovered.

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

• Local History - Without having to setup GitHub this has been a time saver!
• AutoComplete
• Saves the entire project at once

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

• It would be nice if IDE feature releases were timed to coincide with Salesforce releases (i.e. make Lightning Web Components available on the day they become available in Salesforce instances).
• The IDE can be a bit buggy especially when you have several windows of the IDE open to different Salesforce instances at the same time on one machine.
• Sometimes, when you click to retrieve your data too soon, before the program has a chance to ask you to connect to the instance, it can cause the IDE to freeze.

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

In general, when you need support there is someone there to give you an answer. I think there could be an improvement in this area, but it's hard to provide a substantial amount of support for a product that is charging roughly $15 a month. Do I feel I get more than $15 worth of support value when I need to request it? Yes.

Incentivized

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

It's much faster than Eclipse

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

• The ability to recover and compare to local history
• Reliable vs. open source alternatives!

Incentivized