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...

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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.)
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100 1 |a Campesato, Oswald,   |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Data Wrangling Using Pandas, SQL, and Java /  |c Oswald Campesato. 
264 1 |a Dulles, VA :   |b Mercury Learning and Information,   |c [2022] 
264 4 |c ©2022 
300 |a 1 online resource (300 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 0 |t Frontmatter --   |t Contents --   |t Preface --   |t Chapter 1: Introduction to Python --   |t Chapter 2: Working with Data --   |t Chapter 3: Introduction to Pandas --   |t Chapter 4: RDBMS and SQL --   |t Chapter 5: Java, JSON, and XML --   |t Chapter 6: Data Cleaning Tasks --   |t Chapter 7: Data Wrangling --   |t Appendix A: Working with awk --   |t Index 
506 0 |a restricted access  |u http://purl.org/coar/access_right/c_16ec  |f online access with authorization  |2 star 
520 |a 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 
530 |a Issued also in print. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 02. Jun 2024) 
650 0 |a Data mining. 
650 0 |a Java (Computer program language). 
650 0 |a Programming languages (Electronic computers). 
650 0 |a Python (Computer program language). 
650 0 |a SQL (Computer program language). 
650 4 |a Data. 
650 4 |a Programming. 
650 7 |a COMPUTERS / Programming Languages / Python.  |2 bisacsh 
653 |a Java. 
653 |a MySQL. 
653 |a NumPy. 
653 |a Pandas. 
653 |a Python. 
653 |a RDBMs. 
653 |a awk. 
653 |a computer science. 
653 |a data cleaning. 
653 |a data science. 
653 |a programming. 
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773 0 8 |i Title is part of eBook package:  |d De Gruyter  |t MLI ASEE STEM eBook-Package 2024  |z 9783111564340 
773 0 8 |i Title is part of eBook package:  |d De Gruyter  |t MLI and ITGP STEM IT PACKAGE  |z 9783111574073 
773 0 8 |i Title is part of eBook package:  |d De Gruyter  |t Sciendo All Ebooks Trial Collection 2024  |z 9783111502496 
776 0 |c EPUB  |z 9781683929024 
776 0 |c print  |z 9781683929048 
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912 |a 978-3-11-157353-3 MLI AI COLLECTION 
912 |a 978-3-11-157407-3 MLI and ITGP STEM IT PACKAGE 
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