
- 342 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
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.
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Yes, you can access Practical Python Programming for Data Scientists by in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Title Page
- Copyright
- ABOUT THE AUTHORS
- TABLE OF CONTENTS
- List of Figures
- List of Tables
- List of Abbreviations
- Preface
- 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
- Index
- Back Cover