TY  - BOOK
AU  - Jake Vanderplas
TI  - Python Data Science Handbook: Essential Tools for Working with Data
SN  - 9781491912058
U1  - 006.312 
PY  - 2017///
CY  - Sebastopol, CA
PB  - O'Reilly
KW  - (ICE-2702) Applied Data Science with Python
KW  - Programming
KW  - Computer Science
KW  - Computers
KW  - Coding
KW  - Technology
KW  - Technical
KW  - Artificial Intelligence
KW  - Nonfiction
N2  - 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
ER  -