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?
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?
is it possible to create more than the one default notebook in Google Colab Pro?
I first tried to create a new file with the .ipynb file extension and it shows up like this:
Then I tried to create a new notebook like this:
And that file opens up the same way as just creating an new file:
Basically, I'd like to create multiple notebooks like creating an new .ipynb notebook in Jupyter notebooks so I can use Google Colab the same way as Jupyter notebooks. Is this possible in Google Colab?
Google Colaboratory is quite different from jupyter notebook, you can't create and use 2 notebooks in a single session as it would also hurt the resources of the google colab. They do not have made this feature. So it is not possible yet.
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
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 want to create a machine learning pipeline using python with PyCharm and run everything in azure machine learning service workspace. Then I want to integrate my pycharm script in a way when I edit and save my script, it runs a new experiment in Azure ML workspace.
I have check all the tutorials on using Azure ML service using python sdk, however, every time it is via notebooks but not with pycharm.
Azure Machine Learning service can be used from any editor that supports Python 3.5 - 3.7: PyCharm, VSCode or just plain python.exe. We've used Notebooks because it makes it easy to package and present the examples, however you should be able to copy-paste the Python code and run in any editor.