Python Data Science Essentials

Python Data Science Essentials

by Boschetti, Alberto

Type Book
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If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills

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Title Statements

  • Full title :Python Data Science Essentials

Summary

If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills

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Edition Statements

  • Publication Date:2015

Publication Statements

  • Publisher(s):Packt Publishing
  • Place of Publication:Birmingham
  • Language:eng
  • Publication Date:2015

Notes

IMD-Felder maschinell generiert

Keeping up with velocity.

The Physical Object

  • Description:Online-Ressource (258 Seiten)

Edition Identifiers

  • ISBN:9781785280429, 1785280422
  • oclc:on1020552453
  • LC Classification:QA76.73.P98 .B384 2015
  • Dewey Decimal:004.109234689

Table of Contents

Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: First Steps; Introducing data science and Python; Installing Python; Python 2 or Python 3?; Step-by-step installation; A glance at the essential Python packages; NumPy; SciPy; pandas; Scikit-learn; IPython; Matplotlib; Statsmodels; Beautiful Soup; NetworkX; NLTK; Gensim; PyPy; The installation of packages; Package upgrades; Scientific distributions; Anaconda; Enthought Canopy; PythonXY; WinPython; Introducing IPython; The IPython Notebook.

Datasets and code used in the bookScikit-learn toy datasets; MLdata.org public repository; LIBSVM data examples; Loading data directly from CSV or text files; Scikit-learn sample generators; Summary; Chapter 2: Data Munging; The data science process; Data loading and preprocessing with pandas; Fast and easy data loading; Dealing with problematic data; Dealing with big datasets; Accessing other data formats; Data preprocessing; Data selection; Working with categorical and textual data; A special type of data-text; Data processing with NumPy; NumPy's n-dimensional array.

The basics of NumPy ndarray objectsCreating NumPy arr…

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Subjects

Python (Computer program language) Scripting languages (Computer science)

Writers

Boschetti, Alberto Massaron, Luca

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