This may sound absurd but I want to write code using my preferred IDE and execute the written code in google collaborator.
I have a low-end PC and it takes ages to execute some codes (high-level codes) which takes much less time when running on Google Colab. So, is there a way to write code in local IDE, upload the code programmatically, and execute it (Output can be shown on the website/colab-site).
I can upload the program file to google drive programmatically but I need to manually execute it from colab which I want to avoid.
I want to write a code that can do all the above stuff like
Upload the program to collab and execute it on the collab.
You can Upload your code to drive
Then Mount
from google.colab import drive
drive.mount('/content/drive')
#Optional: move to the desired location:
%cd drive/My Drive/DIRECTORY_IN_YOUR_DRIVE
Install requirements(optional)
pip install REQUIREMENT
Then RUN your file using
python/python3 filename.py
Related
A google colab file runs the Omnizart python package which converts mp3/youtube songs to MIDI files. Although I was able to run the Environment Setup portion of the google colab file, but it runs for a long time without ending when I run the Choose from Youtube portion.
Would it possible to convert the code in the google colab file so that it runs on the Jupyter Notebook in Windows?
A project I built with python, I have code in python with (.py) scripts in a folder called "MY_PROJECT", is it possible to run the code in the "MY_PROJECT" folder, in google colab?
I want to run my code in google colab, but it is not in notebook format (.ipynb).
I copied my project to Drive, but I don't see a way to run in colab, Google colab search only for notebook format.
Is it possible to do this, to run a python project in colab?
I'm using google colab for a tensorflow project. but whenever I terminate the session all the files and work I've done gets wiped out all there is the ipynb file which I was using. then I have to redo everything from the beginning. these are the file
I loose all these files which I'm using then reupload them when I open my ipynb file the next time. how can solve this problem. should I push this entire file structure to git repo and clone it next time I'm using it? or is their another way to do it?
amanpreet!. Yes , you can put all your files in Github ,you can also put all the files in your google drive and access it by mounting drive in Colab . attaching an article for your reference.
https://buomsoo-kim.github.io/colab/2020/05/09/Colab-mounting-google-drive.md/
I got a Python script that I would like it to be run automatically every day at certain timing on my Google colab.
How do I get to run it on Google Cloud, or is there any other ways to run the file without downloading it as pyfile ? Thanks.
I have a json file with over 16k urls of images, which I parse using a python script and use urllib.request.urlretrieve in it to retrieve images. I uploaded the json file to google drive and run the python script in google Colab.
Though the files were downloaded (I checked this using a print line in the try block of urlretrieve) and it took substantial time to download them, I am unable to see where it has stored these files. When I had run the same script on my local machine, it stored the files in the current folder.
As an answer to this question suggests, the files may be downloaded to some temporary location, say, on some cloud. Is there a way to dump these temporary files to google drive?
(*Note I had mounted the drive in the colab notebook, still the files don't appear to be stored in google drive)
Colab stores files in some temp location which is new every time you run the notebook. If you want your data to persist across sessions you need to store it in GDrive. For that you need to map some GDrive folder in your notebook and use it as path. Also, you need to give the Colab permissions to access your GDrive
After mounting GDrive you need to move files from the Colab to GDrive using command:
!mv /content/filename /content/gdrive/My\ Drive/