Data Simplification: Contents

On March 23, my book, Data Simplification: Taming Information With Open Source Tools, will be published. Here is a preview of the contents: TABLE OF CONTENTSChapter 0. Preface References for Preface Glossary for PrefaceChapter 1. The Simple Life Section 1.1. Simplification drives scientific progress Section 1.2. The human mind is a simplifying machine Section 1.3. Simplification in Nature Section 1.4. The Complexity Barrier Section 1.5. Getting ready Open Source Tools for Chapter 1 Perl Python Ruby Text Editors OpenOffice Command line utilities Cygwin, Linux emulation for Windows DOS batch scripts Linux bash scripts Interactive line interpreters Package installers System callsReferences for Chapter 1 Glossary for Chapter 1Chapter 2. Structuring Text Section 2.1. The Meaninglessness of free text Section 2.2. Sorting text, the impossible dream Section 2.3. Sentence Parsing Section 2.4. Abbreviations Section 2.5. Annotation and the simple science of metadata Section 2.6. Specifications Good, Standards Bad Open Source Tools for Chapter 2 ASCII Regular expressions Format commands Converting non-printable files to plain-text Dublin Core References for Chapter 2 Glossary for Chapter 2Chapter 3. Indexing Text Section 3.1. How Data Scientists Use Indexes Section 3.2. Concordances and Indexed Lists Section 3.3. Term Extraction and Simple Indexes Section 3.4. ...

Source: Specified Life - March 3, 2016 Category: Information Technology Tags: computer science data analysis data repurposing data simplification data wrangling information science simplifying data taming data Source Type: blogs