Data

Tools

Indexes

Applications

Experiments

Open Source Science

https://github.com/csadorf/pydata-ann-arbor-2018

Slides and notebooks demonstrating signac for PyData Ann Arbor Meetup 2018

https://github.com/csadorf/pydata-ann-arbor-2018

Science Score: 10.0%

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

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary

Keywords

data data-management jupyter signac workflow

Keywords from Contributors

reproducibility
Last synced: 5 months ago · JSON representation

Repository

Slides and notebooks demonstrating signac for PyData Ann Arbor Meetup 2018

Basic Info
  • Host: GitHub
  • Owner: csadorf
  • License: bsd-3-clause
  • Language: HTML
  • Default Branch: master
  • Homepage:
  • Size: 8.66 MB
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Topics
data data-management jupyter signac workflow
Created over 7 years ago · Last pushed over 7 years ago

https://github.com/csadorf/pydata-ann-arbor-2018/blob/master/ 

# signac - PyData Ann Arbor Meetup 2018

[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/csadorf/pydata-ann-arbor-2018/master?urlpath=lab/tree/index.ipynb)

## About

This is a collection of Jupyter notebooks and slide decks used as an introduction and demonstration on how to use [**signac**](http://www.signac.io) presented at the [PyData Ann Arbor Meetup group](https://www.meetup.com/PyData-Ann-Arbor/) on [August 7th 2018](https://www.meetup.com/PyData-Ann-Arbor/events/249050578/).
You can launch an **interactive** version of these notebooks following [this link](https://mybinder.org/v2/gh/csadorf/pydata-ann-arbor-2018/master?urlpath=lab/tree/index.ipynb) (powered by [MyBinder](https://mybinder.org/)).

The **signac** framework is a collection of Python packages that are designed to automate computational investigations and manage the underlying data spaces. The framework is lightweight and easy to integrate with other tools, such as [pandas](https://pandas.pydata.org/) or [tensorflow](https://www.tensorflow.org/).

* Part 1 - Introduction to signac's core functions ([slides](https://csadorf.github.io/pydata-ann-arbor-2018/), [source](intro.ipynb))

* Part 2 - Demonstration of **signac** and **signac-flow**: A case study on projectile motion ([interactive notebook](https://mybinder.org/v2/gh/csadorf/pydata-ann-arbor-2018/master?urlpath=lab/tree/projectile/animate-projectile.ipynb), [source](projectile/animate-projectile.ipynb))
* Part 3 - The Python Ecosystem: Integrating **signac** with other Python tools, including [pandas](https://pandas.pydata.org/), [Sacred](https://github.com/IDSIA/sacred), and [datreant.core](http://datreant.org) ([interactive notebook](https://mybinder.org/v2/gh/csadorf/pydata-ann-arbor-2018/master?urlpath=lab/tree/integration/Integration.ipynb), [source](integration/Integration.ipynb))

## How to install signac

You can install signac either with [conda](https://conda.io/docs/user-guide/install/download.html) through the [conda-forge](https://conda-forge.org/) channel:
```bash
conda install -c conda-forge signac signac-flow
```
Alternatively you can install it with [pip](https://packaging.python.org/tutorials/installing-packages/#installing-to-the-user-site):
```bash
pip install --user signac signac-flow
```

## How to get help

For more information visit the [signac website](http://www.signac.io) or the [framework documentation](https://signac-docs.readthedocs.io/en/latest).

Owner

  • Name: Carl Simon Adorf
  • Login: csadorf
  • Kind: user
  • Location: Lausanne, CH
  • Company: NVIDIA

SE @NVIDIA working on @rapidsai

GitHub Events

Total
Last Year

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 37
  • Total Committers: 3
  • Avg Commits per committer: 12.333
  • Development Distribution Score (DDS): 0.162
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Carl Simon Adorf c****f@u****u 31
Bradley Dice b****e@b****m 5
vyasr v****i@g****m 1
Committer Domains (Top 20 + Academic)
bradleydice.com: 1 umich.edu: 1

Issues and Pull Requests

Last synced: 12 months ago

All Time
  • Total issues: 0
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: about 3 hours
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.33
  • Merged pull requests: 3
  • 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
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • bdice (2)
  • vyasr (1)
Top Labels
Issue Labels
Pull Request Labels