
Github Pyopensci Software Peer Review Pyopensci S Guidebook For Pyopensci's guide for developing, reviewing, and maintaining packages. we welcome issues and pull requests to improve the content of this guide. if you'd like to see an improvement, please open an issue. to submit a pull request with changes: create a fork of this repo to make changes. Pyopensci is a diverse community that supports the open python tools that drive open science. get a basic overview of our open peer review process for python scientific open source software. we review packages that support scientists creating open science workflows. learn about the scope of the packages that we review.
Editor Expectations Issue 121 Pyopensci Software Peer Review Github Run an open software peer review process of scientific python software. partner with and learn from other community organizations that are doing great work in the open source and open science space. Learn about the requirements and scope of packages that pyopensci reviews. we review packages openly using github issues. curious about the general timeline for pyopensci reviews? read about our peer review policies. need packaging guidance? if you want to learn more about packaging best practices, you can check out our packaging guide. questions?. How to build the guide locally the pyopensci guidebook is written using jupyter book. to build the guide locally, take the following steps:. This repository hosts our software peer review guidebook, which documents the processes and guidelines for authors, editors, the editor in chief, and the peer review triage team as they manage our open peer review process.

Broken Link Ready To Submit A Package For Review Issue 113 How to build the guide locally the pyopensci guidebook is written using jupyter book. to build the guide locally, take the following steps:. This repository hosts our software peer review guidebook, which documents the processes and guidelines for authors, editors, the editor in chief, and the peer review triage team as they manage our open peer review process. Here is 1 public repository matching this topic pyopensci software peer review star 62 code issues pull requests pyopensci's guidebook for package authors, reviewers, and editors. We review python packages and software with the goal of helping scientists build better, discoverable and usable software. your package can also be published in joss through our review process. This online event, hosted by opensource@stanford in collaboration with pyopensci, explores how software peer review can help you build reliable research tools, improve your coding skills, support open and sustainable python software, gain academic recognition, and connect with the broader scientific python community.anyone at stanford is welcome to attend!. Data usage policy for pyopensci what does our policy look like for data usage? protip! find all open issues with in progress development work with linked:pr.

Consider Adding The Guidebook To The Top Level Nav Issue 54 Here is 1 public repository matching this topic pyopensci software peer review star 62 code issues pull requests pyopensci's guidebook for package authors, reviewers, and editors. We review python packages and software with the goal of helping scientists build better, discoverable and usable software. your package can also be published in joss through our review process. This online event, hosted by opensource@stanford in collaboration with pyopensci, explores how software peer review can help you build reliable research tools, improve your coding skills, support open and sustainable python software, gain academic recognition, and connect with the broader scientific python community.anyone at stanford is welcome to attend!. Data usage policy for pyopensci what does our policy look like for data usage? protip! find all open issues with in progress development work with linked:pr.

Repostatus Badge Issue 41 Pyopensci Software Peer Review Github This online event, hosted by opensource@stanford in collaboration with pyopensci, explores how software peer review can help you build reliable research tools, improve your coding skills, support open and sustainable python software, gain academic recognition, and connect with the broader scientific python community.anyone at stanford is welcome to attend!. Data usage policy for pyopensci what does our policy look like for data usage? protip! find all open issues with in progress development work with linked:pr.

Data Usage Policy For Pyopensci What Does Our Policy Look Like For