Python for Data Mining Quick Syntax Reference

Authors: Porcu, Valentina

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  • 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
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イーブック ¥3,144
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-1-4842-4113-4
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: PDF, EPUB
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ソフトカバー ¥3,930
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-1-4842-4112-7
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
この書籍について

​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.

著者について

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.

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Getting Started

    Pages 1-11

    Porcu, Valentina

  • Introductory Notes

    Pages 13-26

    Porcu, Valentina

  • Basic Objects and Structures

    Pages 27-57

    Porcu, Valentina

  • Functions

    Pages 59-68

    Porcu, Valentina

  • Conditional Instructions and Writing Functions

    Pages 69-88

    Porcu, Valentina

書籍の購入

イーブック ¥3,144
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-1-4842-4113-4
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: PDF, EPUB
  • どの電子書籍リーダーからでもすぐにお読みいただけます。
  • ご購入後、すぐにダウンロードしていただけます。
ソフトカバー ¥3,930
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-1-4842-4112-7
  • 個人のお客様には、世界中どこでも配送料無料でお届けします。
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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書誌情報

Bibliographic Information
Book Title
Python for Data Mining Quick Syntax Reference
Authors
Copyright
2018
Publisher
Apress
Copyright Holder
Valentina Porcu
イーブック ISBN
978-1-4842-4113-4
DOI
10.1007/978-1-4842-4113-4
ソフトカバー ISBN
978-1-4842-4112-7
Edition Number
1
Number of Pages
XV, 260
Number of Illustrations
80 b/w illustrations
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.