Data Wrangling Using Pandas, SQL, and Java

Oswald Campesato

Published by Mercury Learning and Information 2022

Data Wrangling Using Pandas, SQL, and Java

Oswald Campesato

https://doi.org/10.1515/9781683929031

Overview
Contents

About this book

This book is intended primarily for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks. It contains a variety of features of NumPy and Pandas and how to create databases and tables in MySQL. Chapter 7 covers many data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available for downloading from the publisher.

Features:

Provides the reader with basic Python 3, Java, and Pandas programming concepts, and an introduction to awk
Includes a chapter on RDBMs and SQL
Companion files with code

To order printed versions, visit: https://styluspub.presswarehouse.com/client/MLI

Author / Editor information

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Supplementary Materials

Data Wrangling Using Pandas SQL and Java

Topics

Frontmatter Publicly Available Download PDF	i
Contents Publicly Available Download PDF	vii
Preface Publicly Available Download PDF	xiii
Chapter 1: Introduction to Python Requires Authentication Unlicensed Licensed Download PDF	1
Chapter 2: Working with Data Requires Authentication Unlicensed Licensed Download PDF	29
Chapter 3: Introduction to Pandas Requires Authentication Unlicensed Licensed Download PDF	55
Chapter 4: RDBMS and SQL Requires Authentication Unlicensed Licensed Download PDF	103
Chapter 5: Java, JSON, and XML Requires Authentication Unlicensed Licensed Download PDF	123
Chapter 6: Data Cleaning Tasks Requires Authentication Unlicensed Licensed Download PDF	151
Chapter 7: Data Wrangling Requires Authentication Unlicensed Licensed Download PDF	191
Appendix A: Working with awk Requires Authentication Unlicensed Licensed Download PDF	223
Index Requires Authentication Unlicensed Licensed Download PDF	255

(Deutsch)

Language: English
Publisher: Mercury Learning and Information
Pages
- Main content: 300
Keywords: computer science; data science; programming; Python; NumPy; Pandas; MySQL; Java; RDBMs; data cleaning; awk

eBook

Published: October 31, 2022
ISBN: 9781683929031