Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (15.6%) to scientific vocabulary
Repository
asdada
Basic Info
- Host: GitHub
- Owner: FreddyMurphy
- License: other
- Language: Jupyter Notebook
- Default Branch: master
- Size: 110 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ReproduciblePython 🐍🐱👤
Materials associated with the PyCon 2018 workshop on reproducible analysis in Python.
The proposal for this workshop can be found in the proposal.md file.
Slides
🗒️ The slides for the workshop can be found here: - Online html version: interactive slides - PDF version
💬 Discussion
We will encourage discussions over the workshop, for this purpose we will be using an Etherpad. Click on the following link: https://public.etherpad-mozilla.org/p/ReproduciblePython
🗃️ The content
This material covers the basics of reproducible workflows in Python and is provided in the following sections:
- Setup: installation instructions for the workshop
- Setting up projects: advise on best practices to set up projects with a reproducibility-first approach
- Working with data: information on how to use, archive, and share data
- Processing data, workflows: producing automated wokrflows
- All things testing: introduction to testing of standalone scripts and Jupyter notebooks
- Making code public: how to share your code and being credited for it
🦄 Additional materials
These are complementary materials that you can follow at your own pace if you wanted to dive further.
- Getting started with Docker: introduction to containers and usage of repo2docker
- Sharing your interactive notebooks using Binder
- Introduction to Datalad
Solutions
The solutions to the tutorial can be found in the solutions folder. Make sure to read the solutions README first
🖥️ What do I need for this workshop?
The installation instructions can be found at http://bitsandchips.me/ReproduciblePython/Setup.html
Acknowledgements
The development of this material was funded by OpenDreamKit, a Horizon2020 European Research Infrastructure project (676541) that aims to advance the open source computational mathematics ecosystem.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Owner
- Login: FreddyMurphy
- Kind: user
- Repositories: 2
- Profile: https://github.com/FreddyMurphy
Citation (CITATION.cff)
cff-version: 1.0.3
message: If you use this materials, please cite it as below.
authors:
- family-names: Allard
given-names: Tania
orcid: https://orcid.org/0000-0003-4925-7248
title: 101 on reproducible workflows with Python
version: 1.1
doi: 10.5281/zenodo.1241112
date-released: 2018-05-04