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.
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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 have python file i want to share it to my friends, but they are saying they cant download the file.
Is there any way that they can run the python file without downloading that file? They cant download .exe files also.
I tried using online compiler for python but as my file has tkinter and many modules, compilers are not able to run my file.Can i run the code which i have mentioned in google colab or jupyter notebook?
Please suggest me how to do this. I just want to demonstrate the app which i created.
Google Colaboratory should be able to solve your problem.
To install external libraries use !pip install <library_name> in any of the cell. And then use go on using colab notebook as one would use a Jupyter Notebook.
It even has option to share your colab notebook, so others would be able to execute the same code as you without having to download any files locally.
Ask to run '.py' extension in a Code Editor (eg. VSCode)
Or else just ask to run the '.exe' by downloading it. And then delete if not want to keep it.
I'm looking for an IDE that can act like RStudio to develop Python applications in. I love being able to execute code chunks ad-hoc just to see what they do, change it a bit, look at the output again, etc. However, I also want the structure that Pycharm brings, being able to open an entire repo as a project. Does anyone have any recommendations?
Just update you Rstudio , in the newest version of Rstudio , version 1.4 you can develop with python
,
it installs a miniconda environment and then you can develop freely in python , in the environment Tab you will see that you will experience an ("R" like) experience of programming with Python .
Try Jupyter notebook, I think, it's what you want. Or you can run IPython notebooks in Pycharm e.g.
I personally hate Jupyter Notebooks. I'd recommend using Spyder, Pycharm, or VScode with extra emphasis on Spyder because it's python native and allows for remote connections for free (Pycharm is more sophisticated but you have to pay for the version that lets you connect to a remote kernel).
To execute a block of code in Spyder you just highlight what you want to run in the text editor and press f9. Spyder has similar repo/ file management capabilities as Pycharm.
Got a small basic question. I use a Mac, and I used to work in .py files with Sublime 3. One of the things I liked was that when Sublime is closed, for a given file in a folder--if I'm looking for a bit of code--I could hit the spacebar and Macs open a quick preview of the .py document.
Now I'm working in Jupyter Notebook and saving everything as .ipynb files. Now I can't hit the spacebar and glance at files--I launch JN from the command land and it's far slower.
I suspect there are quicker ways to open .ipynb files in browser windows, but what I really want to know is is there a way to quickly preview those file contents from my desktop? Alternatively, is there a way to work in Jupiter Notebook but save the files as .py (and later seamlessly reopen in JN), such that I could still use the great old spacebar trick?
Thanks for you patience with a pretty small question :)
It's been a while since the last answer, but just in case anyone else is looking to use Mac Quicklook to preview Jupyter Notebooks .ipynb files, this app does the job:
Jupyter Notebook Viewer - https://github.com/tuxu/nbviewer-app
You can either download the app from that page or install using brew cask
brew cask install jupyter-notebook-viewer
If the preview is not working you should reload quicklook.
Just open a terminal windows and run. It worked for me on macOS High Sierra.
qlmanage -r
Now enjoy quicklook preview for Jupyter Notebook files :)
I had this same question at the weekend.
I came across two things:
a) this project on Github: https://github.com/jendas1/jupyter-notebook-quick-look
and
b) The Jupyter app which allows you to open Notebooks in Finder on the mac: https://github.com/jendas1/JupyterApp
Caveat - I book marked these, but due to other work I have not had time to download, install or test these.
If you do, please let me know how you get on!
As an update to the previous answers, I'd like to recommend nbviewer.js which is a client-side ipynb renderer. You can use it online at https://kokes.github.io/nbviewer.js/viewer.html
In case anyone wants to do the same on linux, you can check this out
nb-viewer which lets you preview Jupyter notebooks with a double click!
Update for the most recent version of MacOS (tested on macOS Big Sur v11.6) & newer brew versions:
To install Jupyter Notebook Viewer - https://github.com/tuxu/nbviewer-app follow these steps:
brew install --cask jupyter-notebook-viewer
Manually start /Applications/Jupyter Notebook Viewer.app using command + open (to allow a third-party app to be started)
qlmanage -r
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.