Open Source Festival 2020

Data Science is a new career with a huge demand in the society, a lot of tools has been built to ease the work of a data scientist and analyst, these tools are becoming good with the help of Open source contributors. In this session, I will guide delegates on how to contribute to open-source ds tools.

Data Science has become a sexist career with a huge demand in the society, however, a lot of tools has been developed with dynamic and duplex functions to ease the work of a data scientist and analyst, these tools are growing and becoming better over time with the help of Open source contributors. In this session, we will contribute to Datasist, Datawiz and other Nigeria made Open source Data Science tools using Python.

Pull requests let you tell others about changes you’ve pushed to a GitHub repository. Once a pull request is sent, interested parties can review the set of changes & discuss potential modifications. The accuracy of PRs enables teams to make the necessary changes to improve a solution or product.

In this workshop, we’ll cover various topics related to creating, reviewing and merging pull requests for beginners, contributors, and maintainers. We’ll discuss how to describe the:

• Motivation and context of pull request
• Tests you’ve done, how to recreate the issue and screenshots if appropriate
• Types of changes eg: bug fix, new feature or breaking change
• The checklist you followed in creating the change.

We’ll also cover how to report sensitive security flaws that can not be shared in a pull request.
For maintainers will discuss how to:

• Accurately review pull requests and give constructive feedback
• Define your projects merging policy - some example “We only accept pull requests after the matter has been discussed thoroughly in an issue”