Data Wrangling Using Pandas, SQL, and Java
- Publisher
Mercury Learning and Information - Published
11th November 2022 - ISBN 9781683929048
- Language English
- Pages 300 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
17th October 2022 - ISBN 9781683929024
- Language English
- Pages 300 pp.
- Size 7" x 9"
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- Publisher
Mercury Learning and Information - Published
17th October 2022 - ISBN 9781683929031
- Language English
- Pages 300 pp.
- Size 7" x 9"
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
1: Introduction to Python
2: Working with Data
3: Introduction to Pandas
4: RDBMs and SQL
5: Java, JSON, and XML
6: Data Cleaning Tasks
7: Data Wrangling
Appendix: Working with awk
Index
Oswald Campesato
Oswald Campesato is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, NLP, Android, and Data Science. He is the author/co-author of over thirty books including Data Science Fundamentals Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning and Information).