Skip to main content

convenience tool to do mass notebook normalization

Project description

nbnorm

a convenience tool to do mass notebook normalization

initially developped for https://github.com/flotpython/course, and initially located in https://github.com/flotpython/tools, but substantially modified later on.

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

nbnorm-0.3.0.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

nbnorm-0.3.0-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file nbnorm-0.3.0.tar.gz.

File metadata

  • Download URL: nbnorm-0.3.0.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for nbnorm-0.3.0.tar.gz
Algorithm Hash digest
SHA256 bda00e1166f6cc037d5f366f82e6145e0eecf53ef1430bdc8b7e25857a7a4506
MD5 8fc702727788ffdfb3de1485bf60402f
BLAKE2b-256 f5786220a34cc6692fa29c6b970d69c752c9afc6276f6b11f19aa30bc73bc8c7

See more details on using hashes here.

File details

Details for the file nbnorm-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: nbnorm-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 7.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for nbnorm-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 2731567f95b46a2a14529bb8acb38577333ec4b2048fd4b5a014a00de7d83789
MD5 9298573c395a765d376f4c9d7aa94971
BLAKE2b-256 2e84b1f257d04c7ec1072a168b2ea29aca226e606abec2b05f3453af760d2a77

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