Skip to main content

Please Run IPython Notebook in the Current Environment with Stdout & Stderr

Project description

Princess is a small module to run a Jupyter notebook containing Python code, with two specific conditions:

  • The notebook runs in the current Python environment (the one used to load Princess), regardless of the kernel name in its metadata.

  • Text output from the notebook is displayed directly in your terminal - or wherever you redirect it - so you can follow the progress of the notebook.

Usage:

python -m princess Notebook.ipynb

Options:

  • --save and --save-as Result.ipynb to save the notebook after running.

  • --on-error-resume-next ignores errors from running notebook code and continues with the next cell. This is usually not a good idea.

PRINCESS: Please Run IPython Notebook in the Current Environment with Stdout and Stderr

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

princess-0.2.tar.gz (4.4 kB view details)

Uploaded Source

Built Distribution

princess-0.2-py3-none-any.whl (3.6 kB view details)

Uploaded Python 3

File details

Details for the file princess-0.2.tar.gz.

File metadata

  • Download URL: princess-0.2.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.22.0

File hashes

Hashes for princess-0.2.tar.gz
Algorithm Hash digest
SHA256 c90995de7eb0d4261002a30c48fb76769576eebaa31b58296f901a8806099c42
MD5 20569c1ad8511ca0b0dcace32ca56988
BLAKE2b-256 62579b19ee78d1f7599191e23e1ffc5ae934d4232e8f1fce7c886b63d6491d19

See more details on using hashes here.

File details

Details for the file princess-0.2-py3-none-any.whl.

File metadata

  • Download URL: princess-0.2-py3-none-any.whl
  • Upload date:
  • Size: 3.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.22.0

File hashes

Hashes for princess-0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e9370e8afa896557b8f0f168264609064d8f0fa2de08d51e50ee44e01757ce0e
MD5 1d5180ff57e3e01f7377b18b66cbc691
BLAKE2b-256 2fd3607e4cb80f93b5e096cd5b11c0159cc12e0472ccd6a7e9a865ffb127b98e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page