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Data Wrangling Using Pandas, SQL, and Java
Data Wrangling Using Pandas, SQL, and Java

Data Wrangling Using Pandas, SQL, and Java: A Comprehensive Guide to Data Cleaning and Transformation

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Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
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zł59.99 zł200.99
eBook Aug 2024 275 pages 1st Edition
eBook
zł59.99 zł200.99
Arrow left icon
Profile Icon Mercury Learning and Information Profile Icon Oswald Campesato
Arrow right icon
zł59.99 zł200.99
eBook Aug 2024 275 pages 1st Edition
eBook
zł59.99 zł200.99
eBook
zł59.99 zł200.99

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Key benefits

  • Comprehensive guide covering Pandas, SQL, and Java
  • Hands-on approach with practical examples
  • Step-by-step instructions for real-world application

Description

This book is designed for aspiring data scientists and those involved in data cleaning. It covers features of NumPy and Pandas, along with creating databases and tables in MySQL. It also addresses various data wrangling tasks using Python scripts and awk-based shell scripts. Companion files with code are available from the publisher. Understanding data cleaning and manipulation is vital for data scientists. This book provides a comprehensive introduction to essential tools and techniques. From Python basics to advanced data wrangling, it equips readers with the skills needed to manage and clean data effectively. The journey begins with an introduction to Python and progresses through working with data, Pandas, and SQL. It also covers Java, JSON, XML, and specific data cleaning tasks. The book culminates with detailed data wrangling techniques, ensuring readers gain practical, hands-on experience in data management.

Who is this book for?

This book is ideal for data analysts, data scientists, and software developers who want to enhance their data handling skills. Basic knowledge of Python is recommended, but the book covers the necessary fundamentals. Pre-requisites include basic programming skills and a willingness to learn data manipulation techniques.

What you will learn

  • Master Python for data wrangling
  • Implement data cleaning techniques
  • Use Pandas for data manipulation
  • Apply SQL for database management
  • Utilize Java for integrating data sources
  • Perform data transformation efficiently

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 01, 2024
Length: 275 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645726
Category :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
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Product Details

Publication date : Aug 01, 2024
Length: 275 pages
Edition : 1st
Language : English
ISBN-13 : 9781836645726
Category :

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Table of Contents

8 Chapters
Chapter 1: Introduction to Python Chevron down icon Chevron up icon
Chapter 2: Working with Data Chevron down icon Chevron up icon
Chapter 3: Introduction to Pandas Chevron down icon Chevron up icon
Chapter 4: RDBMS and SQL Chevron down icon Chevron up icon
Chapter 5: Java, JSON, and XML Chevron down icon Chevron up icon
Chapter 6: Data Cleaning Tasks Chevron down icon Chevron up icon
Chapter 7: Data Wrangling Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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