I was experimenting in the Spyder IDE and learned, that it is possible to define cells using the #%% separator. Now I couldn't find it, but is it possible to use markdown, like in a Jupyter notebook?
No. As far as I know Spyder IDE has no markdown implemented as Jypter notebook even if it is connecting to a Jupyer notebook instance locally.
I would suggest you to use Jupyter notebook for coding and annotation if you need such a thing. Spyder is just a IDE. But if you want to edit Jupyter notebook in a IDE just take a look at PyCharm IDE.
If you want to comment/uncomment you could use CTRL +1 to change a single line, and with CTRL+4 you could change an entire block.
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So I am just starting a data science/stats class and I am trying to setup a R notebook within Dataspell I am able to create a Jupyter notbook but it only wants a python interpreter and I can't seem to change the interpreter to R
I only allows me to set a python interpreter. I am able to run R files just fine but I am trying to do it in a notebook. (Whether that be Jupyter or some other notebook I couldn't care less)
I would like to stick to Jetbrains IDE's either Dataspell or Pycharm. I tried our Datalore and got an R notebook working but its really slow for me.
Actually, there's an (currently - as of May 2022) undocumented feature in Dataspell 2022.1 which they have been developing which supports R kernels in Dataspell as an IDE.
If you have an Conda environment which has R and the irkernel installed and configured (for instance, if you set up your Anaconda environment to run Jupyter notebooks with the R kernel), you can open existing R notebooks in Dataspell and run them just like Python notebooks. The only thing you can't do is create new ones, sadly.
Basically, just use Anaconda or Miniconda to create an environment which can run Jupyter notebooks with the irkernel, create your notebooks in Jupyter, then point your Dataspell directory at it and it should work.
They do mention that it's a developing feature - so if you encounter bugs, you can flag them in the Dataspell issue tracker. I tried it and it worked pretty well so far.
You can see an example of my R kernel running in Dataspell here:
DataSpell can be a little difficult to navigate. In any case, File>New... pops up a menu:
Pick "RMarkdown File", which your purposes will work the same as a notebook. RStudio has both markdown and notebook options, but they still have an Rmd extension.
You should also see a R Console button at the bottom of the screen.
I am using Python 3 in Visual Studio Code (latest version).
I am wondering if there is a way to run Python scripts (in .py format) in VSCode adopting Jupyter Notebook as default terminal (instead of Powershell).
In a few words, I would like to make VSCode similar to Spyder IDE, which uses Jupyter Notebook as terminal and shows script variables in Variables Explorer.
Thanks in advance.
Using Jupyter extension you can create notebooks and interactive windows.
By clicking the Variables icon in the top toolbar after running code and cells, as mentioned on vscode documentation, you can view your variable explorer.
I installed Anaconda as it's a recommended way to start with Jupyter notebooks.
I was surprised at the end of the Anaconda windows install to be invited to install Microsoft VS Code as a code editor. Reading about VS Code it seems a well respected editor but does that not take away the idea of using using Jupyter notebooks? Or am I missing something?
Anaconda also installs IDLE and Spyder, which are IDEs (Integrated Development Environments). Anaconda simply gives you a choice. Each of those choices has its advantages and disadvantages. Using one does not prohibit you from also using another.
Jupyter might recommend using Anaconda, but this doesn't imply that Anaconda would recommend using Jupyter.
You are right that if you are going to focus on Jupyter notebooks you won't need to use VS Code.
But most people that use Anaconda are not using Jupyter notebooks - they write python scripts not notebooks - and for that vscode is a respected choice.
I need to open a ipython notebook (.ipynb extension file) to look for some work done by a previous colleague. However, I do not have a knowledge of how the python structure works. Can someone guide me on what should be the easiest way to look at the file?
You'll need to install iPython, either on its own or as part of a prepackaged distribution such as Anaconda. You can then open iPython Notebook with your browser and find the notebook of your interest on your drive.
I extensively use Ipython and its notebook. I also use DataNitro to get python functionality in Excel. Was wondering anybody has been able to use Ipython Notebook with the python instance running in DataNitro? This would make debugging and development much easier.
DataNitro can already open a Ipython Shell, but I cant figure out if I link an Ipython notebook to this shell
Unfortunately, DataNitro doesn't support IPython Notebook integration. Try using pdb for debugging in the IPython shell.
Source: I'm one of the DataNitro developers.