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    Browsing by Author Wes McKinney

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    • TVS.000411- Python for data analysis_1.pdf.jpg
    • Sách/Book

    • Python for data analysis

      • Authors: Wes McKinney (2013)

    • Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems.
    • TVS.003922_Wes McKinney - Python for Data Analysis_ Data Wrangling with Pandas, NumPy, and IPython-O’Reilly Media (2017).pdf.jpg
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    • Python for data analysis : data wrangling with pandas, NumPy, and IPython

      • Authors: Wes McKinney (2017)

    • Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
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    • Sách/Book

    • Python for data analysis : data wrangling with pandas, NumPy, and Jupyter

      • Authors: Wes McKinney (2022)

    • "Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing."