Data Wrangling Using Pandas, SQL, and Java / / Oswald Campesato.
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 scri...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter MLI AI COLLECTION |
---|---|
VerfasserIn: | |
Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (300 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Other title: | Frontmatter -- Contents -- Preface -- Chapter 1: Introduction to Python -- Chapter 2: Working with Data -- Chapter 3: Introduction to Pandas -- Chapter 4: RDBMS and SQL -- Chapter 5: Java, JSON, and XML -- Chapter 6: Data Cleaning Tasks -- Chapter 7: Data Wrangling -- Appendix A: Working with awk -- Index |
---|---|
Summary: | 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 awkIncludes a chapter on RDBMs and SQLCompanion files with code |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9781683929031 9783111573533 9783111564340 9783111574073 9783111502496 |
DOI: | 10.1515/9781683929031 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Oswald Campesato. |