Master data wrangling with Pandas, SQL, and Java. Learn data cleaning, transformation, and manipulation with step-by-step instructions and practical examples.

Key Features

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

Book 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.

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

Who this book is 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.

Master data wrangling with Pandas, SQL, and Java. Learn data cleaning, transformation, and manipulation with step-by-step instructions and practical examples.

Key Features

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

Book 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.

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

Who this book is 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.

Master data wrangling with Pandas, SQL, and Java. Learn data cleaning, transformation, and manipulation with step-by-step instructions and practical examples.

Key Features

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

Book 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.

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

Who this book is 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.