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Скачать или смотреть Samiul Huque - You Came to a Python Conference. Now, Go Do a PR Review! | PyData London 25

  • PyData
  • 2025-07-01
  • 541
Samiul Huque - You Came to a Python Conference. Now, Go Do a PR Review! | PyData London 25
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Описание к видео Samiul Huque - You Came to a Python Conference. Now, Go Do a PR Review! | PyData London 25

www.pydata.org

You Came to a Python Conference. Now, Go Do a PR Review!

If you or your organization are spending time and resources attending a Python conference, you will want to ensure your team gets something immediately actionable and helpful out of it. As coders, we often think about writing code as the only way to contribute. However, pull request reviews are an often overlooked, but highly actionable way to have an impact.
Giving good PR reviews is an art, with two equally important parts: the technical side and the communication side. While the technical side ensures the quality, maintainability, and efficiency of the Python code, the communication around the PR determines whether the feedback can be understood and acted upon. However, we have all seen code reviews that have been ignored or executed poorly due to poor communication.
This talk addresses both facets of PR reviews by introducing the archetypes of bad code reviewers: 1) The “Looks Good to Me” Reviewer: This peer reviewer provides little to no actionable feedback.2) The “Technical Nitpicker”: This peer reviewer focuses on small Python-specific issues, but fails to communicate constructively.3) The “Nit” Commenter: This peer reviewer prefaces every comment with “nit,” while offering unclear, yet technically valid suggestions
Using these archetypes, we will explore Python-specific technical topics (such as pass by reference vs. pass by value), while delving into how to communicate and deliver feedback in a clear and actionable manner. Using real-world examples, attendees will learn how to:a) Identify and address technical issues in Python PRsb) Communicate feedback effectivelyc) Balance technical rigor with constructive feedbackd) Communicate their peer review comments clearly

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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