Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter McKinney Wes
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, mo… Celý popis ↓
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Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter McKinney Wes
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. Updated for Python 3.10 and pandas 1.4, 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.
Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing.
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