numfocus / outreachy-contributions-2023

This repository will be used to capture Outreachy applicants' contributions during the Applications phase - May-July 2023 Cohort
BSD 3-Clause "New" or "Revised" License
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SECOND CONTRIBUTION BY QUEENETH OGBONNA #88

Closed kwin-eth closed 1 year ago

kwin-eth commented 1 year ago

Name: Queeneth Ogbonna Project: QuTip | CVXPY Link To QuTip Governance Model Link To CVXPY Governance Model

INTRODUCTION

CVXPY is an open-source optimization modeling language that provides a convenient and intuitive way to formulate and solve convex optimization problems. QuTiP, an open-source software package written in Python, provides users with a variety of tools to learn and simulate quantum systems.

Open-source governance models have become increasingly important in the software development industry, as they can significantly impact the success and sustainability of a project. In this essay, we will conduct a comparative analysis of two open-source projects: CVXPY and QuTiP. The purpose of this analysis is to explore the governance models of these projects and how they prioritize ethics, integrity, and responsible conduct among their leaders, volunteers, and workers. We will examine factors such as transparency, collaboration, accountability, and leadership to evaluate the effectiveness of their governance models.

SIMILARITIES

DIFFERENCES

CONCLUSION

After evaluating all factors, I am inclined to choose the governance model of QuTiP over CVXPY. While both projects have strong governance models, QuTiP's deliberate consideration for the community stands out. QuTiP's governance model fosters a welcoming and growth-conducive environment, which aligns with our goals for this analysis.

kwin-eth commented 1 year ago

SECOND TASK COMPLETED @arliss-NF

arliss-NF commented 1 year ago

@kwin-eth - strong analysis. I liked how you said, " I'm inclined to ..". When doing analysis, it's important to have an opinion and make a decision, so getting comfortable with doing this is important. This is done by providing a strong, clear, concise argument backed up with data. You have done this.