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Python for Data Science: A Hands-On Introduction

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A hands-on, real-world introduction to data an*lysis with the Python programming language, loaded with wide-ranging examples.Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data an*lysis with a learn-by-doing approach rooted in practi...

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Description produit
Marque
GENERIC
Titre principal
Python for Data Science: A Hands-On Introduction
Editeur
No Starch Press
Type de produit
Paperback
Présentation du livre
Paperback
Release date
8/2/2022 12:00:00 AM
Langue d'origine
English
ISBN
1718502206
Dimensions
7.05 x 0.71 x 9.25 inches
Nombre de pages de livre
240 pages
Langue - Librairie
English
Résumé
A hands-on, real-world introduction to data an*lysis with the Python programming language, loaded with wide-ranging examples.Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data an*lysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and an*lyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.You will discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and more. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket an*lysis to identify items commonly purchased together, and machine learning to predict stock prices. Read more
Auteur(s)
Yuli Vasiliev
Date de parution
8/2/2022 12:00:00 AM