Software Engineering for Data Scientists (MEAP v2)
Andrew Treadway
These easy to learn and apply software engineering techniques will radically improve collaboration, scaling, and deployment in your data science projects.
In Software Engineering for Data Scientists you’ll learn to improve performance and efficiency by:
• Using source control
• Handling exceptions and errors in your code
• Improving the design of your tools and applications
• Scaling code to handle large data efficiently
• Testing model and data processing code before deployment
• Scheduling a model to run automatically
• Packaging Python code into reusable libraries
• Generating automated reports for monitoring a model in production
In Software Engineering for Data Scientists you’ll learn to improve performance and efficiency by:
• Using source control
• Handling exceptions and errors in your code
• Improving the design of your tools and applications
• Scaling code to handle large data efficiently
• Testing model and data processing code before deployment
• Scheduling a model to run automatically
• Packaging Python code into reusable libraries
• Generating automated reports for monitoring a model in production
İl:
2023
Nəşr:
chapters 1 to 7 of 14
Nəşriyyat:
Manning Publications
Dil:
english
Səhifələr:
213
ISBN 10:
1633438848
ISBN 13:
9781633438842
Fayl:
PDF, 12.17 MB
IPFS:
,
english, 2023
Amazon 
Barnes & Noble 
Bookshop.org
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