Python for Data Mining Quick Syntax Reference

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Beschreibung

¿Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.

Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them.

The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.

What You'll Learn

Install Python and choose a development environment

Understand the basic concepts of object-oriented programming

Import, open, and edit files

Review the differences between Python 2.x and 3.x

Who This Book Is For

Programmers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.

What You'll Learn

Programmers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.

Über den Autor

Valentina Porcu is a computer geek with a passion for data mining and research, and a Ph.D in communication and complex systems. She has years of experience in teaching in universities in Italy, France and Morocco, and online, of course! She works as consultant in the field of data mining and machine learning and enjoys writing about new technologies and data mining. She spent the last 9 years working as freelancer and researcher in the field of social media analysis, benchmark analysis and web scraping for database building, in particular in the field of buzz analysis and sentiment analysis for universities, startups and web agencies across UK, France, US and Italy. Valentina is the founder of Datawiring, a popular Italian data science resource.

Zusammenfassung

A concise guide to common Python features and popular data mining tools including pandas, SciPy, NumPy, and Matplotlib

Quick reference format offers readers essential information and brief explanations with many examples

Includes scikit-learn and core machine learning concepts

Inhaltsverzeichnis

1. Getting Started.- 2. Introductory Notions.- 3. Basic Objects and Structures.- 4. Functions.- 5. Conditional Instructions and Writing Functions.- 6. Other Basic Concepts.- 7. Importing Files.- 8. pandas.- 9. SciPy and NumPy.- 10. Matplotlib.- 11. scikit-learn.

Details

Erscheinungsjahr:	2018
Fachbereich:	Programmiersprachen
Genre:	Importe , Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xv 260 S. 80 s/w Illustr. 260 p. 80 illus.
ISBN-13:	9781484241127
ISBN-10:	1484241126
Sprache:	Englisch
Herstellernummer:	978-1-4842-4112-7
Einband:	Kartoniert / Broschiert
Autor:	Porcu, Valentina
Auflage:	First Edition
Hersteller:	APRESS
Verantwortliche Person für die EU:	APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße:	235 x 155 x 16 mm
Von/Mit:	Valentina Porcu
Erscheinungsdatum:	20.12.2018
Gewicht:	0,423 kg

Artikel-ID: 114316303