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Real Python에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Real Python 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Start Using a Build System & Continuous Integration in Python

1:00:26
 
공유
 

Manage episode 349945343 series 2637014
Real Python에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Real Python 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

What advantages can a build system provide for a Python developer? What new skills are required when working with a team of developers? This week on the show, Benjy Weinberger from Toolchain is here to discuss the Pants build system and getting started with continuous integration (CI).

Benjy is one of the core developers of the Pants build system. He talks about the software tools and processes that a build system simplifies. We discuss how an individual developer can take advantage of continuous integration. We also cover some of the expectations when moving into professional software development.

Have you learned about or started to use tools like linters, code formatters, import sorters, type checkers, and packaging systems? A build system is designed to combine all of those tools into a simplified, one-step process to share your best code.

Benjy explains concepts like implementing fine-grained invalidation, moving to a monorepo, and using a build system for data science projects. He also shares his tips for getting started with Pants and finding help within the community.

Course Spotlight: Testing Your Code With pytest

In this video course, you’ll learn how to take your testing to the next level with pytest. You’ll cover intermediate and advanced pytest features such as fixtures, marks, parameters, and plugins. With pytest, you can make your test suites fast, effective, and less painful to maintain.

Topics:

  • 00:00:00 – Introduction
  • 00:03:19 – Working on Pants
  • 00:05:24 – Background on Toolchain
  • 00:08:26 – Individual developer using CI
  • 00:11:04 – When did you start using these types of tools?
  • 00:14:30 – Was the organization open to the development of CI tools?
  • 00:15:45 – Having a foundation with Git
  • 00:17:11 – Moving toward workflows
  • 00:23:30 – Sponsor: InfluxDB
  • 00:24:20 – What’s fine-grained invalidation?
  • 00:29:32 – Setting up test coverage
  • 00:33:07 – Moving into packaging and deployment
  • 00:37:22 – Advantages of a monorepo
  • 00:42:10 – Video Course Spotlight
  • 00:43:36 – Reasons for deeper Python integration
  • 00:47:40 – Using the build system with data science projects
  • 00:52:21 – Getting started with Pants
  • 00:55:47 – What are you excited about in the world of Python?
  • 00:57:12 – What do you want to learn next?
  • 00:58:41 – How can people follow your work online?
  • 00:59:27 – 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

278 에피소드

Artwork
icon공유
 
Manage episode 349945343 series 2637014
Real Python에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Real Python 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

What advantages can a build system provide for a Python developer? What new skills are required when working with a team of developers? This week on the show, Benjy Weinberger from Toolchain is here to discuss the Pants build system and getting started with continuous integration (CI).

Benjy is one of the core developers of the Pants build system. He talks about the software tools and processes that a build system simplifies. We discuss how an individual developer can take advantage of continuous integration. We also cover some of the expectations when moving into professional software development.

Have you learned about or started to use tools like linters, code formatters, import sorters, type checkers, and packaging systems? A build system is designed to combine all of those tools into a simplified, one-step process to share your best code.

Benjy explains concepts like implementing fine-grained invalidation, moving to a monorepo, and using a build system for data science projects. He also shares his tips for getting started with Pants and finding help within the community.

Course Spotlight: Testing Your Code With pytest

In this video course, you’ll learn how to take your testing to the next level with pytest. You’ll cover intermediate and advanced pytest features such as fixtures, marks, parameters, and plugins. With pytest, you can make your test suites fast, effective, and less painful to maintain.

Topics:

  • 00:00:00 – Introduction
  • 00:03:19 – Working on Pants
  • 00:05:24 – Background on Toolchain
  • 00:08:26 – Individual developer using CI
  • 00:11:04 – When did you start using these types of tools?
  • 00:14:30 – Was the organization open to the development of CI tools?
  • 00:15:45 – Having a foundation with Git
  • 00:17:11 – Moving toward workflows
  • 00:23:30 – Sponsor: InfluxDB
  • 00:24:20 – What’s fine-grained invalidation?
  • 00:29:32 – Setting up test coverage
  • 00:33:07 – Moving into packaging and deployment
  • 00:37:22 – Advantages of a monorepo
  • 00:42:10 – Video Course Spotlight
  • 00:43:36 – Reasons for deeper Python integration
  • 00:47:40 – Using the build system with data science projects
  • 00:52:21 – Getting started with Pants
  • 00:55:47 – What are you excited about in the world of Python?
  • 00:57:12 – What do you want to learn next?
  • 00:58:41 – How can people follow your work online?
  • 00:59:27 – 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

278 에피소드

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