Software Engineering for Data Scientists (New book!)

Very excited to announce the early-access preview (MEAP) of my upcoming book, Software Engineering for Data Scientists is available now! Check it out at this link. Use promo code au35tre to save 30% on this book and any products sold from Manning.

Why Software Engineering for Data Scientists?

Data science and software engineering have been merging more and more, especially over the last decade. Software Engineering for Data Scientists is my upcoming book that will help you learn more about software engineering and how it can make your life easier as a data scientist!

This book covers the following key topics:

• Source control
• How to implement exception handling and write robust code
• Object-oriented programming for data scientists
• How to monitor the progress of training machine learning models
• Scaling your Python and data science code to handle millions (or billions) or rows. This includes making sure you are using standard tools like pandas to their max potential, as well as learning about Dask and PySpark
• How to put Python into production, including deploying machine learning models and data pipelines
• How to create Python packages
• Creating automated reports and logging
• How to create dashboards to monitor your machine learning model in production

…and much more! Additionally, almost every chapter in the book comes with a Practice on your own section that allows you to refine your skills on the topics taught in the book, and code samples that you can download from a Github repo.

Please check out the book, and make sure to share with your friends!