Run any Jupyter notebook on Kaggle kernels instantly
Project description
kernel-run
Create Kaggle kernels instantly from any Jupyter notebook.
Installation:
pip install kernel-run
The above command install a command-line tool called kernel-run which can be invoked from the terminal.
Usage:
Run the kernel-run command on your terminal/command prompt with a Jupyter notebook's path as the argument:
kernel-run path/to/jupyter/noteobook.ipynb
This will upload the notebook to your Kaggle account, create a private kernel, and launch the Kaggle web page where you can edit/run the kernel.
Note: To allow kaggle-run to upload the notebook to your Kaggle account, you need to download the Kaggle API credentials file kaggle.json. To download the 'kaggle.json' file:
- Go to https://kaggle.com
- Log in and go to your account page
- Click the "Create New API Token" button in the "API" section
- Move the downloaded
kaggle.jsonfile to the folder~/.kaggle/
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file kernel-run-0.0.2.tar.gz.
File metadata
- Download URL: kernel-run-0.0.2.tar.gz
- Upload date:
- Size: 3.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a991933ebeb27c742bff8e49f250392fbbff05c1a0e5420c0092bee1d9a46305
|
|
| MD5 |
76230aec7fc11aabef795446ab1e51bc
|
|
| BLAKE2b-256 |
12c737b5721d0ef425fc386d27e0a77634bb9cb4ee84e4d038156b1dd7a2e954
|
File details
Details for the file kernel_run-0.0.2-py2-none-any.whl.
File metadata
- Download URL: kernel_run-0.0.2-py2-none-any.whl
- Upload date:
- Size: 4.1 kB
- Tags: Python 2
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/2.7.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1522c819585829fe6ef96392ae19aafe0ad52007ac580a229df00fdbf196a43a
|
|
| MD5 |
7341404da614fda2502a081eb6bef125
|
|
| BLAKE2b-256 |
49875fc74131378a1762c3c1f65abe81511dab9b71b66d98ee1066e480a8dcb3
|