Efficient Python Production Workflows

In this course, learn what it takes to efficiently manage your Python projects.


Efficient Python Production Workflows

Efficient Python Production Workflows

Writing code can be easy, but maintaining a product is always a challenge.

In this course, learn what it takes to efficiently manage your Python projects.

Instructor Miki Tebeka delves into the ancillary tasks around Python programming, such as dependency management, development methodologies, metrics, logging, testing, and deployment. While these topics aren’t strictly related to coding, they’re essential to making sure your code is production ready.

Learn how to tackle challenges related to dependency management, effectively approach testing, configure a logging system, design metrics, leverage different deployment strategies, and more.

Efficient Python Production Workflows

Topics include:

Working effectively with a team.
Effective dependency management.
Production vs. development environments.
Determining which kinds of tests to use.
Sending feedback to developers.
Why logging is a valuable asset.
Configuring a logging system.
Deployment strategies.
Using Fabric to automate deployment.

Course information :

MP4 | Video: AVC, 1280×720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 54m 20s
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 197 MB

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