spqr

Tu quoque mi fili

https://github.com/carreau/spqr

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.4%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Tu quoque mi fili

Basic Info
  • Host: GitHub
  • Owner: Carreau
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 430 KB
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Created over 11 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

readme.md

spqr logo

Roman empire backward compatibility

Still Partially Quompatible with Roman empire allow you to deals with numeral use a long time ago in the BF times (BF as Before Fortran). As you all know the necessity for quick iteration as for long been a goal in the scientific community, as well a reproducibility and backward compatibility. Now you can quickly achieve the efficiency you had to engrave number on you marble tablet calculator from the comfort of your QWERTY keyboard, and replicate studies made at the time of Neron, Ceasar, and all thoses guy you don't remember the name.

Tu quoque mi fili

```python In [1]: from SPQR import I,V,X,C,M

In [2]: NOW = M.M.X.V # this year

In [3]: AGE = X.X.I.X

In [4]: NOW - AGE Out[4]: MCMLXXXVI ```

numpy display format

python from SPQR import set_numpy_print_options set_numpy_print_options()

Praise the gods.

You can import the unicode caracters 1-12,50 and a few others:

python In[5]: from SPQR.literals import *

And it of course play nice with the gods. In Jupyter you can tab-completes the above characters with:

\roman numeral [one|two|three|...]<tab>

It is also usable inside NumPy arrays and other data structures:

example of adding two numpy arrays with SPQR data

Packaging

Proudly packaged with flit

logo

Logo from wikimedia commons

Owner

  • Name: M Bussonnier
  • Login: Carreau
  • Kind: user
  • Location: France
  • Company: @Quansight-Labs

PhD in (Bio)Physics, Core developer of @ipython and @jupyter, heavy Pythonista, mostly focusing on writing tools to move science forward.

GitHub Events

Total
  • Issues event: 1
  • Delete event: 1
  • Push event: 1
  • Fork event: 1
  • Create event: 1
Last Year
  • Issues event: 1
  • Delete event: 1
  • Push event: 1
  • Fork event: 1
  • Create event: 1

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 23
  • Total Committers: 2
  • Avg Commits per committer: 11.5
  • Development Distribution Score (DDS): 0.043
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Matthias Bussonnier b****s@g****m 22
Dillon Niederhut d****t@g****m 1

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 1
  • Total pull requests: 1
  • Average time to close issues: over 9 years
  • Average time to close pull requests: about 3 hours
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 10.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • Carreau (1)
Pull Request Authors
  • deniederhut (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 17 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 8
  • Total maintainers: 1
pypi.org: spqr

S.P.Q.R

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 17 Last month
Rankings
Dependent packages count: 10.0%
Dependent repos count: 21.7%
Forks count: 22.6%
Average: 23.1%
Stargazers count: 25.0%
Downloads: 36.1%
Maintainers (1)
Last synced: 11 months ago

Dependencies

pyproject.toml pypi