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Linkedin - Python Data Analytics - From Notebooks to Production - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Linkedin - Python Data Analytics - From Notebooks to Production (/Thread-Linkedin-Python-Data-Analytics-From-Notebooks-to-Production) |
Linkedin - Python Data Analytics - From Notebooks to Production - AD-TEAM - 09-10-2024 ![]() 139.26 MB | 00:05:13 | mp4 | 1152X720 | 1.6:1 Genre:eLearning |Language:English
Files Included :
01 - Notebooks to production (2.65 MB) 02 - What you should know (1.47 MB) 03 - Using GitHub Codespaces (1.93 MB) 01 - Understanding production (5.12 MB) 02 - Where notebooks excel (3.12 MB) 03 - Where notebooks come short (4.57 MB) 01 - Why you should organize your code (2.41 MB) 02 - Module API (12.39 MB) 03 - Sub modules (2.91 MB) 04 - Main (3.65 MB) 05 - Challenge Convert logs notebook (1.25 MB) 06 - Solution Convert logs notebook (2.22 MB) 01 - Why testing is important (4.81 MB) 02 - Running notebooks (6.97 MB) 03 - Parametrized tests (3.71 MB) 04 - Test fixtures (5.22 MB) 05 - Continuous integration (4.5 MB) 06 - Challenge Test tags (2.09 MB) 07 - Solution Test tags (3.53 MB) 01 - The problems with dependencies (7.09 MB) 02 - Specifying and installing dependencies (6.74 MB) 03 - Separating test dependencies (4.11 MB) 04 - Distributing your package (10.51 MB) 05 - Challenge Create an environment (2.2 MB) 06 - Solution Create an environment (2.55 MB) 01 - Logging and metrics (4.27 MB) 02 - Configuration (3.78 MB) 03 - Performance tuning (11.9 MB) 04 - Securing your code (5.53 MB) 05 - Challenge Make the monthly report production ready (1.33 MB) 06 - Solution Make the monthly report production ready (2.92 MB) 01 - What's next (1.71 MB)
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