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Great Starting Points for Contributing to Open Source

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Manage episode 398856024 series 2637014
内容由Real Python提供。所有播客内容(包括剧集、图形和播客描述)均由 Real Python 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

What’s it like to sit down for your first developer sprint at a conference? How do you find an appropriate issue to work on as a new open-source contributor? This week on the show, author and software engineer Stefanie Molin is here to discuss starting to contribute to open-source projects.

Stefanie is a data scientist and software engineer on Bloomberg’s Security Data Science team. She recently wrote an article titled “5 Ways to Get Started in Open Source.” We discuss finding ways to contribute that fit your interests and developer skills. We dig into the experience of participating in community sprints at a conference.

Stefanie is the author of Hands-On Data Analysis with Pandas. We also discuss the different processes between writing technical articles and authoring a book.

This week’s episode is brought to you by Intel.

Course Spotlight: Documenting Python Projects With Sphinx and Read the Docs

In this video series, you’ll create project documentation from scratch using Sphinx, the de facto standard for Python. You’ll also hook your code repository up to Read The Docs to automatically build and publish your code documentation.

Topics:

  • 00:00:00 – Introduction
  • 00:02:55 – Being asked about how to get started
  • 00:07:13 – Differences in short vs long form writing
  • 00:09:03 – What was your introduction to contributing?
  • 00:17:52 – What are additional benefits of contributing?
  • 00:22:32 – Sponsor: Intel
  • 00:23:22 – Sprints as an entry point
  • 00:34:36 – Other requirements of a sprint
  • 00:36:05 – Differences in conferences
  • 00:41:52 – Other sprint experiences
  • 00:42:50 – Contributing examples to documentation
  • 00:45:59 – Video Course Spotlight
  • 00:47:11 – Looking for good first issues
  • 00:52:04 – Is this a bug?
  • 00:54:10 – Proposing a new feature
  • 00:56:36 – Data Morph and working on personal projects
  • 01:07:29 – Showing up in the Python community
  • 01:12:14 – What are you excited about in the world of Python?
  • 01:14:59 – How can people follow the work you do online?
  • 01:15:28 – What do you want to learn next?
  • 01:18:23 – Thanks and goodbye

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

206集单集

Artwork
icon分享
 
Manage episode 398856024 series 2637014
内容由Real Python提供。所有播客内容(包括剧集、图形和播客描述)均由 Real Python 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

What’s it like to sit down for your first developer sprint at a conference? How do you find an appropriate issue to work on as a new open-source contributor? This week on the show, author and software engineer Stefanie Molin is here to discuss starting to contribute to open-source projects.

Stefanie is a data scientist and software engineer on Bloomberg’s Security Data Science team. She recently wrote an article titled “5 Ways to Get Started in Open Source.” We discuss finding ways to contribute that fit your interests and developer skills. We dig into the experience of participating in community sprints at a conference.

Stefanie is the author of Hands-On Data Analysis with Pandas. We also discuss the different processes between writing technical articles and authoring a book.

This week’s episode is brought to you by Intel.

Course Spotlight: Documenting Python Projects With Sphinx and Read the Docs

In this video series, you’ll create project documentation from scratch using Sphinx, the de facto standard for Python. You’ll also hook your code repository up to Read The Docs to automatically build and publish your code documentation.

Topics:

  • 00:00:00 – Introduction
  • 00:02:55 – Being asked about how to get started
  • 00:07:13 – Differences in short vs long form writing
  • 00:09:03 – What was your introduction to contributing?
  • 00:17:52 – What are additional benefits of contributing?
  • 00:22:32 – Sponsor: Intel
  • 00:23:22 – Sprints as an entry point
  • 00:34:36 – Other requirements of a sprint
  • 00:36:05 – Differences in conferences
  • 00:41:52 – Other sprint experiences
  • 00:42:50 – Contributing examples to documentation
  • 00:45:59 – Video Course Spotlight
  • 00:47:11 – Looking for good first issues
  • 00:52:04 – Is this a bug?
  • 00:54:10 – Proposing a new feature
  • 00:56:36 – Data Morph and working on personal projects
  • 01:07:29 – Showing up in the Python community
  • 01:12:14 – What are you excited about in the world of Python?
  • 01:14:59 – How can people follow the work you do online?
  • 01:15:28 – What do you want to learn next?
  • 01:18:23 – Thanks and goodbye

Show Links:

Level up your Python skills with our expert-led courses:

Support the podcast & join our community of Pythonistas

  continue reading

206集单集

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