Oswald Campesato

Pandas Basics (eBook, ePUB)

Mastering Data Analysis with Pandas
Redaktion: Information, Mercury Learning and

• Format: ePub

Produktbeschreibung

This book is essential for aspiring data scientists and anyone needing to perform data cleaning using Pandas and NumPy. It offers numerous code samples and comprehensive coverage of NumPy and Pandas features, including writing regular expressions. Chapter 3 introduces fundamental statistical concepts, while Chapter 7 delves into data visualization using Matplotlib and Seaborn. Companion files with code are available for download from the publisher.
Starting with an introduction to Python, the course progresses through working with data, and then moves into Pandas, covering its functionalities in three detailed chapters. The statistical concepts provided are crucial for analyzing data effectively, while the visualization techniques enhance the ability to present data insights clearly.
By the end of this course, users will have a solid foundation in data manipulation and cleaning, statistical analysis, and data visualization, enabling them to tackle real-world data science tasks confidently and efficiently.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 215
• Erscheinungstermin: 8. August 2024
• Englisch
• ISBN-13: 9781836645405
• Artikelnr.: 71453837

Autorenporträt

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Inhaltsangabe

1: Introduction to Python
2: Working with Data
3: Introduction to Probability and Statistics
4: Introduction to Pandas (1)
5: Introduction to Pandas (2)
6: Introduction to Pandas (3)
7: Data Visualization
Index