Название: Core data science with illustrations in R and PythonАвтор: Eymard Hernandez Lopez, Giovanni Arquimedes Wences Najera
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 333
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
With "Big Data" data analysis has become a tool used in different scientific fields. This material can help undergraduate students and graduate-level students interested in data science with programming in Python or R. This material contains over 240 codes in Python and R and over 45 illustrations. The text is color-coded to distinguish between Python and R programming. It includes over 50 illustrative examples, exercises at the end of each chapter, and coding sessions, which are very important for practicing basic instructions.
It has R and Python's installation from scratch, which is a tremendous support to take the first step into the fascinating world of programming and data science. This book presents mathematical proofs of basic properties in probability, which helps the reader to understand the logic-mathematics of core concepts.
The Chapter 1 aims to develop the necessary skills in using the programming languages R and Python, which they become familiar with, and practice with sufficient statistical concepts for elementary management of statistics. R is an object-oriented programming language focused on statistics, but one of the most used in scientific research and very popular in data science.
Python is a high-level, interactive, and interpreted programming language created by Guido Van Rossum. Python It is open-source, multi-platform, and adapts to various programming paradigms such as; structured programming, functional programming, and object-oriented programming. Python has become very popular either as a first programming language or as the default language selected by various top-level projects such as Openstack, Blender, Google App Engine, Django, Jupyter, among others.
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