Khan, Arshad

Business Intelligence and Data Analysis in the Age of AI

Campesato, Oswald

Beginning Python 3 with Claude 3

Fortino, Andres

Case Studies in Excel, R, and ChatGPT

Data Analysis for Business Decisions

Zherlitsyn, Dmytro

Financial Data Analysis Using Python

A Prompt-based Exploration of LLMs

Large Language Models for Developers

Beginning Python 3 with Grok 2

Herman, Erik

Using Analytics and Case Studies

Data Science for Decision Makers

Goralski, Walter

Understanding AI, IoT, 6G and The Infrastructure Revolution

Erik, Herman L.

Theory, Applications and Ethics

AI Revealed

CAMPESATO, OSWALD

CSS3 and SVG with Meta AI

Data Wrangling Using Pandas, SQL, and Java

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

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

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...

Format

Data Wrangling Using Pandas, SQL, and Java

Oswald Campesato

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