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Introducing Data Exports
Export Socket alert data to your own cloud storage in JSON, CSV, or Parquet, with flexible snapshot or incremental delivery.
colabcode
Advanced tools
$ pip install colabcode
Run code server on Google Colab or Kaggle Notebooks.
ColabCode also has a command-line script. So you can just run colabcode from command line.
colabcode -h will give the following:
usage: colabcode [-h] --port PORT [--password PASSWORD] [--mount_drive]
ColabCode: Run VS Code On Colab / Kaggle Notebooks
required arguments:
--port PORT the port you want to run code-server on
optional arguments:
--password PASSWORD password to protect your code-server from unauthorized access
--mount_drive if you use --mount_drive, your google drive will be mounted
Else, you can do the following:
# import colabcode
$ from colabcode import ColabCode
# run colabcode with by default options.
$ ColabCode()
# ColabCode has the following arguments:
# - port: the port you want to run code-server on, default 10000
# - password: password to protect your code server from being accessed by someone else.
# Note that there is no password by default!
# - mount_drive: True or False to mount your Google Drive
$ ColabCode(port=10000, password="abhishek", mount_drive=True)
ColabCode comes pre-installed with some VS Code extensions.
FAQs
ColabCode - Run codeserver on Colab!
We found that colabcode demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Export Socket alert data to your own cloud storage in JSON, CSV, or Parquet, with flexible snapshot or incremental delivery.

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