Practical Python programming for data scientists / 
A. Suresh [and three others]. 
 - Second edition. 
 - Ontario, Canada :  Arcler Press,  c2022. 
 - xxi, 320 pages :  color illustrations. 
<br/><br/>To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required). 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Chapter 1 : The distinctions of Python language<br/>Chapter 2 : Demystifying the data science paradigm<br/>Chapter 3 : Python for data analysis<br/>Chapter 4 : Python for programming : an introduction <br/>Chapter 5 : Functions<br/>Chapter 6 : Control structures<br/>Chapter 7 : Strings<br/>Chapter 8 : Lists 
<br/><br/> 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. 
<br/><br/><br/>In English text. 
<br/><br/><label>ISBN: </label>9781774693377 (e-book) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Python (Computer program language). <br/>Programming languages--(Electronic computers).<br/>Computer programming. 
<br/><br/><label>LC Class. No.: </label>EBOP QA 76.73.P98  / P73 2022