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Python Data Science Handbook (Paperback)
Loot Price: R1,687
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Python Data Science Handbook (Paperback)
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For many researchers, Python is a first-class tool mainly because
of its libraries for storing, manipulating, and gaining insight
from data. Several resources exist for individual pieces of this
data science stack, but only with the Python Data Science Handbook
do you get them all-IPython, NumPy, Pandas, Matplotlib,
Scikit-Learn, and other related tools. Working scientists and data
crunchers familiar with reading and writing Python code will find
this comprehensive desk reference ideal for tackling day-to-day
issues: manipulating, transforming, and cleaning data; visualizing
different types of data; and using data to build statistical or
machine learning models. Quite simply, this is the must-have
reference for scientific computing in Python. With this handbook,
you'll learn how to use: IPython and Jupyter: provide computational
environments for data scientists using Python NumPy: includes the
ndarray for efficient storage and manipulation of dense data arrays
in Python Pandas: features the DataFrame for efficient storage and
manipulation of labeled/columnar data in Python Matplotlib:
includes capabilities for a flexible range of data visualizations
in Python Scikit-Learn: for efficient and clean Python
implementations of the most important and established machine
learning algorithms
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