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Obtain full instructions for manipulating, handling, cleaning, as well as crunching datasets in Python. Upgraded for Python 3.6, the 2nd version of this hands-on overview is packed with sensible study that reveal you just how to fix a wide collection of information evaluation issues successfully. You'll discover the current versions of pandas, NumPy, IPython, and Jupyter while doing so.
The designer of the Python pandas job, this book is a practical, modern introduction to data scientific research devices in Python. It's perfect for analysts brand-new to Python and for Python designers brand-new to information science and scientific computing Data data and also related product are readily available on GitHub.
Use the IPython shell and also Jupyter notebook for exploratory computing.
Discover fundamental and also innovative features in NumPy (Numerical Python).
Start with data analysis devices in the pandas library.
Use versatile devices to load, tidy, transform, merge, as well as improve information.
Create interesting visualizations with matplotlib.
Use the pandas groupby facility to cut, dice, as well as summarize datasets.
Assess and also control normal as well as uneven time series information.
Learn exactly how to address real-world information analysis problems with thorough, detailed examples.
531 pages, Paperback
Published May 27, 2022