Spyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.
Everyone advised me at first to use Spyder because it is very easy to use and because it has a simple and easy user interface, and it is easy through it to learn the basics, also because it does not take up much space on the device, and the CPU remains in a normal state
I have chosen Spyder because it's free and open-source that comes with properly documented comments in the code. I have been using Spyder for more than 2 years and it always feels good to work with Spyder every time start my work. In Spyder, we have three windows one for man …
I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors.
For PyCharm, if you choose the professional edition, you will have to pay an annual fee for it. Even your company is allowing those expenses. You might find it is still not worth it to pay for that since you can get a free community version for free or the Spyder for free.
First of all, for PyCharm, the layout is better than Spyder from my own experience and interaction. However, Spyder can allow you to arrange the layout by yourself but the layout for PyCharm is fixed. Second, if you choose PyCharm Professional, you need to pay an annual fee to …
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.
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.
I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors