TY - BOOK AU - Suresh, A. AU - Malarvizhi, N. AU - Raj, Pethuru. AU - Neeba, E. A. TI - Practical python programming for data scientists SN - 9781774691588 U1 - 005.133 P88 23 PY - 2022/// CY - Burlington, On, Canada PB - Arcler Press KW - Python (Computer program language) N1 - Includes index; Chapter 1 The Distinctions of Python Language Chapter 2 Demystifying the Data Science Paradigm Chapter 3 Python for Data Analysis Chapter 4 Python Programming: An Introduction Chapter 5 Functions Chapter 6 Control Structures Chapter 7 Strings Chapter 8 Lisits Chapter 9 Tuples Chapter 10 Dictionaries Chapter 11 Files Chapter 12 Modules and Packages Chapter 13 Classes in Python; COECS; Bachelor of Science in Computer Engineering; COECS; Bachelor of Science in Computer Science N2 - Python is emerging as the leading programming language for data science projects, Python brings in a number of technical advantages for the successful implementation of data science applications. Due to the ready availability of several libraries for facilitating the development of data science services, Python is turning out the programming language of choice for data science. The book starts with a couple of chapters on data science and machine learning (ML) topics. Thereafter, the chapters are focusing on the fundamental and foundational aspects of Python programming language. All kinds of language constructs are accentuated and articulated for the benefit of programmers with all the practical details. There are dedicated chapters for producing machine learning applications This gist of the book is to clearly explain how Python simplifies and speeds up the realization of next-generation data science applications. All the specific libraries towards data science are given the required thrust in order to empower our esteemed readers with all the right and relevant information. This book is being prepared with the intention of empowering data scientists with all the vital details about programming using the Python language ER -