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

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Data Wrangling Using Pandas, SQL, and Java. A Comprehensive Guide to Data Cleaning and Transformation Mercury Learning and Information, Oswald Campesato - okladka książki

Data Wrangling Using Pandas, SQL, and Java. A Comprehensive Guide to Data Cleaning and Transformation Mercury Learning and Information, Oswald Campesato - okladka książki

Serie wydawnicze:
Learning
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
275
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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.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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