JetBrains supports .NET development with Rider, a .NET IDE based on the IntelliJ platform and ReSharper.
N/A
Spyder
Score 8.6 out of 10
N/A
Spyder is a scientific environment for Python, built for scientists, engineers and data analysts. It combines advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with data exploration, interactive execution, deep inspection, and visualization capabilities similar to a scientific package. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.
Initially you may think it’s not worth paying and that there are better free options, which is definitely a lie we once tried to live with. It has everything you may ever need in .NET world, code analysis and debugging works super well and all the SQL/noSQL related integrations are just next level compared to the competition. It’s worth every penny.
Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.
Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.
Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.
Rider is a great IDE with extensive C# refactoring support and .NET-specific knowledge. This is great for building .NET applications but for our purposes, the Unity specific suggestions are really helpful.
JetBrains Rider is great as an editing and debugging environment. It reliably connects to the Unity editor and allows debugging, which some IDEs are not as reliable at doing.
Customer support provided by JetBrains is quite fast and effective. The issues we have encountered were solved within days, which we find reasonable and a very adequate time frame. Bug fixes are added to releases depending on their severity which makes perfect sense. However, we have not encountered any issue which we would consider to be a major problem.
Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
Rider is hands down smoother and way less glitchy than Visual Studio Enterprise. There are way more refactoring capabilities and spell check so that your code is readable, maintainable, and easy to follow. Since Rider is cross-platform, our developers are no longer constrained to only using Windows. We can now get a familiar development environment across Mac, Windows, or Linux!
It is not fair to say that Spyder takes upward from all these IDE's, but likewise Jupyter Notebook is also useful for the Python programming purpose. But as the visual studio it is more suitable and also helps in collaboration work, but Spyder has the limitations working with git and other stuff.