MP4 | Video: AVC, 1280x720 30 fps | Audio: AAC, 48 KHz, 2 Ch | Duration: 54m 20s
Skill Level: Intermediate | Genre: eLearning | Language: English + Subtitles | Size: 197 MB
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.
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
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