Practical Python Programming for Data Scientists

Erscheinungsjahr 2022
ISBN: 978-1-77469-337-7
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 342 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm

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.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

- 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 Lists
- Chapter 9 Tuples
- Chapter 10 Dictionaries
- Chapter 11 Files
- Chapter 12 Modules and Packages
- Chapter 13 Classes in Python

Über Autor(innen)

A. Suresh, Ph.D. works as the Associate Professor, Department of the Computer Science and Engineering in SRM Institute of Science & Technology, Kattankulathur, Chengalpattu Dist., Tamil Nadu, India. He has been nearly two decades of experience in teaching and his areas of specializations are Data Mining, Artificial Intelligence, Image Processing, Multimedia and System Software. He has published three patents and 90 papers in International journals. He has book authored "Industrial IoT Application Architectures and use cases" published in CRC press and edited book entitled "Deep Neural Networks for Multimodal Imaging and Biomedical Application" published in IGI Global. He has currently editing three books namely "Deep learning and Edge Computing solutions for High Performance Computing" in EAI/Springer Innovations in Communications and Computing, "Sensor Data Management and Analysis: The Role of Deep Learning" and "Bioinformatics and Medical Applications: Big Data using Deep Learning Algorithms" in Scrivener-Wiley publisher. He has published 15 chapters in the book title An Intelligent Grid Network Based on Cloud Computing Infrastructures in IGI Global Publisher and Internet of Things for Industry 4.0 in EAI/Springer Innovations in Communication and Computing. He has published more than 40 papers in National and International Conferences. He has served as editor / reviewer for Springer, Elsevier, Wiley, IGI Global, IoS Press, Inderscience journals etc. He is a member of IEEE (Senior Member), ISTE, MCSI, IACSIT, IAENG, MCSTA and Global Member of Internet Society (ISOC). He has organized several National Workshop, Conferences and Technical Events. He is regularly invited to deliver lectures in various programmes for imparting skills in research methodology to students and research scholars. He has published four books in Indian publishers, in the name of Hospital Management, Data Structures & Algorithms, Computer Programming, Problem Solving and Python Programming and Programming in "C". He has hosted two special sessions for IEEE sponsored conference in Osaka, Japan and Thailand.