TY  - BOOK
AU  - Malarvizhi, N., author.
AU  - Raj, Pethuru, author.
AU  - Neeba, E. A., author.
TI  - Practical Python programming for data scientists
SN  - 9781774693377 (e-book)
AV  - EBOP QA 76.73.P98 P73 2022
PY  - 2022///
CY  - Ontario, Canada
PB  - Arcler Press
KW  - Python (Computer program language).
KW  - Programming languages
KW  - (Electronic computers)
KW  - Computer programming.
N1  - Includes bibliographical references and index; Chapter 1 : The distinctions of Python language
Chapter 2 : Demystifying the data science paradigm
Chapter 3 : Python for data analysis
Chapter 4 : Python for programming : an introduction 
Chapter 5 : Functions
Chapter 6 : Control structures
Chapter 7 : Strings
Chapter 8 : Lists
N2  - Data science plays a very vital role in shaping up the process of transitioning data into information and into knowledge. As business enterprises, organizations, governments, IT companies, and service providers are keenly becoming data-driven, the role and responsibility of data scientists are bound to go up significantly. Python is emerging as the leading programming language for data science projects. The aim of the book is to clearly explain how Python simplifies and speeds up the realization of next-generation data science applications
ER  -