{"product_id":"software-engineering-for-data-scientists-9789355425003","title":"Software Engineering for Data Scientists","description":"\u003cp\u003e\u003cb\u003eAll Indian Reprints of O'Reilly are printed in Grayscale\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eData science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success-and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.\u003c\/p\u003e\u003cp\u003eExamples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this guide covers the essential topics that are often missing from introductory data science or coding classes, including how to:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand data structures and object-oriented programming\u003c\/li\u003e\n\u003cli\u003eClearly and skillfully document your code\u003c\/li\u003e\n\u003cli\u003ePackage and share your code\u003c\/li\u003e\n\u003cli\u003eIntegrate data science code with a larger code base\u003c\/li\u003e\n\u003cli\u003eLearn how to write APIs\u003c\/li\u003e\n\u003cli\u003eCreate secure code\u003c\/li\u003e\n\u003cli\u003eApply best practices to common tasks such as testing, error handling, and logging\u003c\/li\u003e\n\u003cli\u003eWork more effectively with software engineers\u003c\/li\u003e\n\u003cli\u003eWrite more efficient, maintainable, and robust code in Python\u003c\/li\u003e\n\u003cli\u003ePut your data science projects into production\u003c\/li\u003e\n\u003cli\u003eAnd more\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAbout the Author\u003c\/h3\u003e\u003cp\u003e\u003cstrong\u003eCatherine Nelson\u003c\/strong\u003e is a Principal Data Scientist at SAP Concur, where she explores innovative ways to deliver production machine learning applications which improve a business traveler's experience. Her key focus areas range from ML explainability and model analysis to privacy-preserving ML. She is also co-author of the O'Reilly publication \"Building Machine Learning Pipelines\", and she is an organizer for Seattle PyLadies, supporting women who code in Python. She has been recognized as a Google Developer Expert in machine learning. In her previous career as a geophysicist she studied ancient volcanoes and explored for oil in Greenland. Catherine has a PhD in geophysics from Durham University and a Masters of Earth Sciences from Oxford University.\u003c\/p\u003e","brand":"Shroff\/O'Reilly","offers":[{"title":"Default Title","offer_id":50506349510726,"sku":"9789355425003","price":1530.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/9789355425003_jpg.jpg?v=1790327712","url":"https:\/\/cb-india.com\/products\/software-engineering-for-data-scientists-9789355425003","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}