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Item Tag: Wes Mckinney

  • Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython

    Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython by McKinney, Wes Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less

  • Python for Data Analysis Data Wrangling with Pandas NumPy and Jupyter FS

    “Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter” by Wes McKinney is a comprehensive textbook published by O’Reilly Media. This book covers essential topics in data analysis, including data visualization, processing, and mining, all using the popular programming language Python. With a strong focus on practical applications, this text is designed for students and professionals looking to deepen their understanding of data analysis techniques. The book’s 579 pages provide detailed insights and guidance on working with data using various tools and techniques in the Python ecosystem.

  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter – GOOD

    Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter – GOOD Product Id:109810403X Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc…

  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython – GOOD

    Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython – GOOD Product Id:1449319793 Condition:USED_GOOD Notes:Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc…

  • Python for Data Analysis Data Wrangling with Pandas NumPy and Jupyter FS

    “Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter” is a comprehensive textbook authored by Wes McKinney, focusing on data visualization, data processing, and database/data mining techniques. Published by O’Reilly Media, this trade paperback book is ideal for students and professionals looking to enhance their skills in using Python for data analysis tasks. With 579 pages filled with practical examples and insights, this textbook offers a thorough exploration of the fundamental tools and techniques needed for effective data analysis in the modern world of computing.