I am trying to make run a script for webscraping. However, I feel the problem could be that I keep running the written script in the wrong console.
So far I could not really understand the differences between the consoles cmd and Anaconda Prompt. Anaconda Navigator looks rather like an administrative tool, but it seems still to make a difference for my code whether I use a terminal from there or not. Could anyone elaborate on that?
Much appreciated
cmd: command-prompt, that used to run our python script, especially for scripts with .py extension. Besides that, we can used to install python library
Anaconda Prompt: almost similar to cmd. But usually we used to open jupyter notebook or other console on Anaconda Navigator.
Anaconda Navigator: a GUI desktop application that is included in the Anaconda installation package. Through Anaconda Navigator, programmers can easily run and manage Conda packages, environments and channels without the need to use command prompt commands. Anaconda Navigator can search for packages in the anaconda cloud repository.
So, the difference depends on what we want to do. You can't judge the problem arises because of the wrong console. It depends on the error message that appears.
Suggestion: read the error message, and analyze or find a way to solve the problem
Related
I am trying to open a Jupyter Notebook file in classic Jupyter Notebook interface. I am attempting to create an interective app that uses Julia programming language in interactive codes. For that I am trying to use the Interact library, because I know it features things such as buttons, sliders, etc. It requires the WebIo extension to be installed. However, from what I have experienced so far, Jupyter notebook does not detect the WebIO extension.
I tried following the instructions at https://juliagizmos.github.io/WebIO.jl/stable/gettingstarted/ and at https://juliagizmos.github.io/WebIO.jl/stable/troubleshooting/not-detected/. In the last link I found that another extension needed to be install and I found more information in this link (https://juliagizmos.github.io/WebIO.jl/latest/providers/ijulia/). I tried executing this command in my Windows prompt and it had apperently been succesful. When executing the command suggested at the second link, I got an error in the Julia REPL saying that WebIO extension for Jupyter Lab must be installed through Python or Conda, which I had already done.
I am also a bit confused as to how I can check to see if the extension is enabled.
I believe the problem has to do either with the installation of IJulia or the pip installation of WebIO. I rarely use pip, so I don't know if I did it correctly.
Thank you.
I'm an Ubuntu user and I used to work with the standard version of Rstudio on my computer. After reading about the server version I installed it on my PC and I'm working with it now. Although I'm very happy with rstudio-server version, I have been facing some difficulties to keep with some old practices. Particularly, I use to launch, open and create new files from the terminal using rstudio keyword - I'm specially fond to the possibility of open files in current rstudio session through the terminal window within rstudio. However, I cannot figure out which command is equivalent in rstudio-server.
I tried, without success, the following commands:
rstudio-server
and
r-server
Interestingly, when I type which rstudio (to find the path of the program's binary files), the terminal did not return any results. The program is installed and working normally, but I just can't find it on my PC
Any help will be appreciated
If I run this Code on Python3 (Anaconda Jupyter 6.0.0) I'm getting logged out automatically. I use a Mac with macOS Mojave.
The code is from the book "How to think like a Computer Scientist". So I'm at the beginning to learn some python.
I already tried to delete the turtle.py files in the library, but it didn't work either.
import turtle
window = turtle.Screen()
alex = turtle.Turtle()
alex.forward(50)
alex.left(90)
alex.forward(30)
window.mainloop()
When I run the code I get logged out. When I log in again, Jupyter just shows a window with "error".
This is more a by-pass than an answer as I am still trying to figure it out myself. I have a macbook and am experiencing the same behavior with PyCharm and Anaconda.
If you want to learn python, the code above runs fine if you instead install the base python interpreter from https://www.python.org/. It includes the turtle module and you can change it in your IDE so that this new interpreter is the default rather than Anaconda. If I figure it out what is happening with Anaconda before someone else, I will let you know.
For python jupyter notebooks I am currently using VSCode python extension. However I cannot find any way to use alternative kernels. I am interested in jupyter R kernel in particular.
Is there any way to work with jupyter notebooks using R kernel in VSCode?
Yes, it is possible. It just requires an additional configuration to connect with the R kernel in VSCode.
It's worth noting that, if you prefer, you can use the notebook in VSCode Insiders where there is native support for notebooks in many languages, including R.
If you're using Jupyter in VSCode, firstly install IRkernel (R kernel).
According to the docs, run both lines to perform the installation:
install.packages('IRkernel')
IRkernel::installspec() # to register the kernel in the current R installation
Now, you should:
Reload Window Ctrl + R
Type Ctrl + Shift + P to search for "Jupyter: Create New Blank Notebook"
Click on the button right below ellipsis in upper right corner to choose kernel
Switch to the desired kernel, in this case, R's
That's it!
Agreed with #essicolo, if you are 100% stuck on using vscode this is a no-go.
[About kernels] Sorry, but as of right now this feature is only supported with Python. We are looking at supporting other languages in the future.
Yeah, that's the case for now, even if you start an external server. I hate having to say that, as we really want to support more of the various language kernels. But we started out with a Python focus and we still are pretty locked into that for the near future. Polyglot support is coming, but it won't be right away
per Microsoft Employee IanMatthewHuff
https://github.com/microsoft/vscode-python/issues/5109#issuecomment-480097310
preface - based on the phrasing of your question, I am making the assumption that you are trying to perform IRkernel in-line execution from your text ide without having to use a jupyter notebook / jupyterlab.
That said, if you're willing to go to the dark side, there might be some alternatives:
nteract's Hydrogen kernel for Atom IDE - the only text ide that I'm aware of that still supports execution against IRkernel. I know, I know - it's not vscode but it's as close as you'll probably get for now.
TwoSigma's Beaker notebook - it's been a lonngggg time for me but this a branch of jupyter that used to support polyglot editing, I'm not sure if that's still supported and it seems like you aren't that interested in notebooks anyway.
#testing_22 it works with me too
just add some note from my experience
It will failed If you run IRkernel::installspec() from RStudio or from Jupyter Conda environment failed way
Please run this syntax with VSCode terminal
install.packages('IRkernel')
IRkernel::installspec()
The rest is same, please restart VSCode and select "R" kernel from VSCode
What do I do when I get the following error message in Eclipse when trying to launch R?
"no session of R is active in the current workbench window"
I've made a tutorial for installing StatET on my Win64 system, you can find it here (mirror). Although it's no rocket science it's easy to get into issues along the way.
You need to first configure R for your system and then you also need to go into Run > Run Configurations... and add a R Console before you can run it.
You also need to be careful about the Java version that you use. I had to uninstall all my Java, then reinstall the 64-bit before it worked. I guess I could've used the 32-bit, but since I use 64-bit R I thought that it might be a better option (although I think the Eclipse environment and R don't really care about sharing bits)
for me had to select rterm, that displayed the r console/terminal. Then do run , run as -> run in R as script via source
I had the sampe problem.
go to Run > Run Configurations > RStudio
and klick on "Run"