WebStorm is an integrated development environment (IDE) by JetBrains. Designed for JavaScript and TypeScript development, WebStorm also aims to make it easy to tackle the most challenging tasks. Whether resolving Git merge conflicts or renaming a symbol across multiple files, it takes just a few clicks.
$0
per year
Python IDLE
Score 8.5 out of 10
N/A
Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.
Groups that use a [variety] of development environments (.net, python, web), Jebrain's products and Webstorm, in particular, are a great choice for productivity. If your developers are accustom to another IDE it might be better for all to sync on the same one. I wouldn't take the cost aspect as a consideration. A productive developer is far more important.
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 popup file search sometimes frustrates me. It caps the number of results, and sometimes it isn't clear that it simply stopped looking. I also used to have trouble finding string occurrences that I knew were in my project, but I think they've made improvements in this area recently.
Being a AAA IDE, WebStorm can be a memory hog. If I don't kill it every few days, it can get really slow. I would love to see performance improvements.
Speaking of performance, WebStorm can take a long time to launch. I'd like to see improvements in launch times.
Great in debugging, testing, developing and maintaining softwares in a number of languages. Great support for many languages and their syntaxes. Great support of many third party extensions and plugins like GIT and html plugins. The RAM usage of WebStorm however could be really improved, it literally takes almost all of the RAM of my machine with 16GB RAM
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.
I gave this rating because I have never needed their customer support, which is the highest level of support I suppose. When a product works just fine out of the box and everything you may need is well documented, it's a paradise for the customer. But I've seen some questions asked on their portal, and I've seen thorough answers given to the questions and the willingness to support the customer with follow-ups and everything else.
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.
I think WebStorm is way ahead of open-source editors. Please don't get me wrong, I love open-source. But the other free editors have a lot of configuration which blocks my whole coding experience. Take "Atom" for example. I used it for about 3 months, but in that time I had to update the plugins hundreds of time, and for every little thing (e.g. linter) I had to download a community plugin, and with each plugin atom would get a little slow. Take "Eclipse" for another example, which is very suited for Java, but not so suited for JavaScript. Sublime was good, but WebStorm comes with many exciting features that I did not find in sublime/notepad.
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