PYTHON FOR DATA ANALYSIS

By:

MCKINNEY, WES

Material type: Text

TextPublication details: Navi Mumbai Shroff Publishers and Distributors Pvt. Ltd 2019Edition: 2nd edDescription: xvi, 522pISBN:

9789352136414

Subject(s):

DATA MINING, PYTHON (COMPUTER PROGRAM LANGUAGE)

DDC classification:

006.312/MCK

Summary: About this book get complete instructions for manipulating, processing, cleaning and crunching datasets in Python. Updated for Python 3.6, the second 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. Youíll learn the latest versions of pandas, NumPy, IPython 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. Itís 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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Holdings
Item type	Current library	Call number	Status	Notes	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research Python	006.312/MCK (Browse shelf(Opens below))	Available	DATA MINING, PYTHON (COMPUTER PROGRAM LANGUAGE)		SICSR-B-19628

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Previous	006.3/BEY Applied Natural Language Processing with Python	006.3/MAN Deep Learning with Applications Using Python	006.31/MIS Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks	006.312/MCK PYTHON FOR DATA ANALYSIS	006.32/WEI DEEP LEARNING FROM SCRATCH: BUILDING WITH PYTHON FROM FIRST PRINCIPLES	006.35/BEY APPLIED NATURAL LANGUAGE PROCESSING WITH PYTHON	006.7/DEY HANDS-ON IMAGE PROCESSING WITH PYTHON	Next

About this book get complete instructions for manipulating, processing, cleaning and crunching datasets in Python. Updated for Python 3.6, the second 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. Youíll learn the latest versions of pandas, NumPy, IPython 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. Itís 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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