Skip to main content

pari-jupyter

A Jupyter kernel for PARI/GP.

Installation

Install the dependencies listed below and run

pip install pari-jupyter

Syntax highlighting

On Jupyter notebook versions older than 5.3, syntax highlighting must be explicitly enabled by running

jupyter nbextension enable --sys-prefix gp-mode/main

Replace --sys-prefix by --user for a user installation.

Dependencies

  • Python (tested with version 2.7.14 and 3.6.1)

  • Jupyter 4

  • PARI version 2.13 or later

  • Readline (any version which works with PARI)

  • Optional: Cython version 0.25 or later

Running tests

There is a standalone python script in test/ that depends on jupyter_kernel_test (see the file test/environment.yml for the precise dependency list that are run in the github action using conda).

Metadata

Release files for pari-jupyter 1.4.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pari-jupyter 1.4.3
File Size Uploaded Provenance Actions
pari-jupyter-1.4.3.tar.gz 31.2 kB Without provenance Details for pari-jupyter-1.4.3.tar.gz

Release files / pari-jupyter-1.4.3.tar.gz

Download URL pari-jupyter-1.4.3.tar.gz
Size 31.2 kB
Tags Source
SHA-256 checksum
How to use checksums
7cd9291d05b92b8303c6ae8cf25622e5ecbab1ac2bcf13911f900ea987471b9d
BLAKE2b-256 checksum
How to use checksums
56fe580a0e6d5f1e83891115bd352783c226a595309c303dd222666ba9d934e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Security for pari-jupyter 1.4.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page