Abstract
In this book, I assume that you are familiar with Python programming. In this introductory chapter, I explain why a data scientist should choose Python as a programming language. Then I highlight some situations where Python is not a good choice. Finally, I describe some good practices in application development and give some coding examples that a data scientist needs in their day-to-day job.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Sayan Mukhopadhyay
About this chapter
Cite this chapter
Mukhopadhyay, S. (2018). Introduction. In: Advanced Data Analytics Using Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3450-1_1
Download citation
DOI: https://doi.org/10.1007/978-1-4842-3450-1_1
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3449-5
Online ISBN: 978-1-4842-3450-1
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)