Python for data science

Type Book

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Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

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Title Statements

Full title :Python for data science / by John Paul Mueller and Luca Massaron.

Summary

Edition Statements

Publication Date:2019
Edition:2nd edition

Publication Statements

Publisher(s):John Wiley & Sons
Place of Publication:Hoboken, NJ
Language:eng
Publication Date:2019

The Physical Object

Description:xvi, 467 pages : : illustrations ; : 24 cm.

Edition Identifiers

ISBN:9781119547624, 1119547628
oclc:on1047804169
LC Classification:QA76.73.P98
Dewey Decimal:005.133

Part 1: Getting started with data science and Python -- Part 2: Getting your hands dirty with data -- Part 3: Visualizing information -- Part 4: Wrangling data -- Part 5: Learning from data -- Part 6: The part of tens.

Subjects

Data Mining Data structures (Computer science) Exploration de données Exploration de données (Informatique) programming languages Programming languages (Electronic compu… Python Python (Computer language) Python (Computer program language) Python (Langage de programmation) Structures de données (Informatique)