Likelihood to Recommend We started to use GitLab for hosting git source code repositories of our projects only but slowly we started to use it to store container images, packages, dependency proxy as well infrastucture registry and it is now well suited for Continuous Integration in our projects, It wasn't that good in Continuous Deployment before 12.0 version but after 12.0 it is amazingly good for Continuous Deployment as well since it keeps deployment information in a well organized manner which can be configure in ci yaml configuration.
Read full review Python Software Foundation
IDLE is a good option to run small scripts directly on the console, and that's it. It is a good exit when you don't want or need to open a proper IDE like Pycharm.
Read full review Pros GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions. It helps maintain code stability and reliability, saving time and effort in the development or research workflow. Powerful code review features, enabling collaboration and feedback among team members. Robust project management features, including issue tracking, kanban boards, and milestones. Read full review Python Software Foundation
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. Read full review Cons CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess. Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created. Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy. Read full review Python Software Foundation
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) Read full review Likelihood to Renew Gitlab is the best in its segment. They have a free version, they have open-source software, they provide a good service with their SaaS product, they are a fully-remote company since the beginning (which means they are fully distributed and have forward-thinking IMO). I would certainly recommend them to everyone.
Read full review Python Software Foundation
Usability I find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
Read full review Python Software Foundation
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.
Read full review Support Rating At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when
GitHub was acquired by Microsoft
Read full review Python Software Foundation
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.
Read full review Alternatives Considered GitLab is easily the preferred tool when it comes to versioning and source control. With other tools the UI often feels outdated and clunky leading to inefficiency and confusion. With some of the sleeker tools such as
GitKraken , while the aesthetic is pleasing, the experience is plagued by a lack of support, lack of optional plugins, and a plethora of bugs that cause unnecessary legwork to resolve. GitLab is the best of both aesthetic and functionality
Read full review Python Software Foundation
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
Read full review Return on Investment We were able to streamline our project's codebase which made us very organised and laid out a proper plan for development. Our deployment and infra pipelines are well structured now making our process 10x faster. We are more focused into project building rather infra, as infra is totally on autopilot mode. Which has enabled us to grow our ROI by records. Read full review Python Software Foundation
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. Read full review ScreenShots