راهنمای داده‌ورزان: ابزارهای ساده برای نتایج قدرتمند

Data manipulation and analysis are far easier than you might imagine—in fact, using tools that come standard with your desktop computer, you can learn how to extract, manipulate, and analyze data (and metadata) of any size and complexity. In this handbook, data wizard Banerjee will familiarize you with easily digestible but powerful concepts that will enable you to feel confident working with data. With his expert guidance, you'll learn how to use a single-word command to sort files of any size by any criteria, identify duplicates, and perform numerous other common library tasks; understand data formats, delimited text and CSV files, XML, JSON, scripting, and other key components of data; undertake more sophisticated tasks such as comparing files, converting data from one format to another, reformatting values, combining data from multiple files, and communicating with APIs (Application Programming Interfaces); save time and stress through simple techniques for transforming text, recognizing symbols that perform important tasks, a Regular Expression cheat sheet, a glossary, and other tools. Library technologists and those involved in maintaining and analyzing data and metadata will find Banerjee's resource essential. Cover Title Page Copyright Page Contents List of Figures and Tables Acknowledgments Introduction Chapter 1. Getting Started with the Command Line Finding the Command Line Mac Windows Meet the Command Line Chapter 2. Command Line Concepts Two Powerful Symbols Direct Output to a File (Greater than Symbol) Direct Output to Another Program (Pipe Symbol) Command Substitution Regular Expressions—The Swiss Army Knife for Data Literal Characters Special Characters Wildcard Characters Logical Operators Grouping Scripting Chapter 3. Understanding Formats, by David Forero Chapter 4. Simplify Complicated Problems Isolating Specific Data Elements Converting Data into Formats That Are Easier to Work With Chapter 5. Delimited Text CSV (Comma Separated Values) Commas and Quotation Marks in CSV Files Multiline Fields in CSV Files Multivalued Fields in Delimited Files Chapter 6. XML So What Is XML, Really? What Makes XML So Useful? Why Is XML So Easy? DOM (Document Object Model) XPath XSLT (eXtensible Stylesheet Language Transformations) Working with Large XML Files Working with Complex XML Files XmlStarlet Installing XmlStarlet Converting XML Documents Chapter 7. JSON (JavaScript Object Notation) Chapter 8. Scripting Variables Arguments Conditional Execution Loops Chapter 9. Solving Common Problems Viewing Large Files Locating Files That Contain Particular Data Finding Files with Specific Characteristics Working with Internal Metadata Working with APIs Combining Data from Different Sources Other Tasks Chapter 10. Conclusions One-Line Wonders Locating, Viewing, and Performing Basic File Operations Combine Information from Multiple Files into a Single File Combine Three Files, Each Consisting of a Single Column, into a Three-Column Table Extract 1,000 Random Lines or Records from a File Find Files with Specific Characteristics Find All Lines in All Files in the Current Directory as Well as All Subdirectories Containing a Regular Expression Identify All Files in Current Directories and Subdirectories That Contain a Value List All Files in Current Directory and Subdirectories over a 100 MB in Order of Decreasing Size List the Names, Pixel Dimensions, and File Sizes of All Files in the Current Directory and Subdirectories in Tab Delimited Format Print Line Number of File That Match Occurred On Split Large Files into Smaller Chunks with Each File Breaking on a Line View 200 Characters Starting at Position 385621 in a File View Lines 4369–4374 of a File Retrieving and Sending Information over a Network Retrieve a Document from the Web and Send It to a File Send an XML Document to an API Requiring HTTP Authentication Sorting, Counting, Deduplication, and File Comparison Combine Two Files on a Common Field Compare Two Sorted Files Count Occurrences for Each Entry in a File, Listed in Order of Decreasing Frequency Count Records Containing an Expression Count Words, Lines, and Characters in File Identify All Unique Entries and Supply a Count of How Many Times Each Occurs Sort a File and Remove Duplicates, Show Only Duplicated Entries, or Show Only Unique Entries Useful Scripting Operations Capture Parameters Passed to a Script Divide a Line into Parameters Iterate through Every Item in Parameter List Perform a Loop Perform an Operation Conditionally Run a Script on Every Line of a File Send the Output of a Command as Arguments to Another Command Send the Output of a Command to Another Command Send the Output of a Command to a File Store the Output of a Command in a Variable Use Foreign Character Sets in a Terminal Window Transforming Text Convert File of Dates to YYYY-MM-DD Format Convert to Title Case Convert to Upper Case Convert List of Names from Direct Order to Indirect Order Extract and Manipulate All Lines in a File That Match a Complex Pattern Extract and Manipulate All Entries in All Files in an Entire Directory Hierarchy That Match a Pattern Remove Lines from a File That Match a Pattern Remove Carriage Return Characters Inserted by Windows Programs from a File Remove Newline Characters from a File Replace Newlines in a File with Character 7 (Bell) Replace Search_Expr with Replace_Expr Only on Lines That Contain Condition_Expr Replace Search_Expr with Replace_Expr Except on Lines That Contain Condition_Expr Replace Smart Quotes with Straight Quotes Working with Delimited Files Convert Comma Delimited File Where Some Values Are Quoted and Some Values Are Not to Tab Delimited Convert Multiline Records to Table Extract Individual Fields from Files Find the Most Common Values in the Second Field of a File Find All Lines in Tab Delimited File Not Containing Six Fields Fix Delimited File That Contains Line Breaks in Fields Remove Trailing and Leading Whitespace from Tab Delimited Data Fields Reorder Fields in a Tab Delimited File Working with JSON and XML Add an Attribute to an XML Document Add an Element to an XML Document Apply XSLT Stylesheet to XML Document Convert JSON to Tab Delimited Format Delete Elements, Attributes, or Values Based on XPath Expressions Display Structure of XML File Pretty Print JSON Document Pretty Print XML Document Glossary Symbols That Perform Important Tasks Useful Commands Regular Expression Cheat Sheet Index "Like all organizations, libraries are generating more data than ever before and are keen to use it. Data manipulation and analysis is far easier than most people imagine. This book demystifies the process of working with data, familiarizing readers with a small number of simple tools, and easily digestible but powerful concepts. Using tools that come with desktop computers, readers will learn to extract, manipulate, and analyze data (and metadata) of any size and complexity. Kyle Banerjee, experienced author of in data and digital library topics, is determined to take the fear out of the command line. This book will be useful to librarians developing their skills, introducing concepts and tools gradually. Starter topics, most of which can be accomplished with a single-word command, will include: how to use the output of one program as input for another, redirecting the results of that to any file or program, sorting files of any size by any criteria, identifying duplicates, listing the number of occurrences for each entry. As readers develop a firm grasp of the fundamentals, they will learn progressively more sophisticated tasks such as comparing files, converting data from one format to another, reformatting values (e.g. converting inconsistent dates to a consistent format), combining data from multiple files, and communicating with APIs (Application Programming Interfaces) built into their systems. Each chapter with more examples that power users might appreciate, but others can skip over without impeding their ability to understand anything else in the book." -- Provided by publisher "Data manipulation and analysis are far easier than you might imagine - in fact, using tools that come standard with your desktop computer, you can learn how to extract, manipulate, and analyze data (and metadata) of any size and complexity. In this handbook, data wizard Banerjee will familiarize you with easily digestible but powerful concepts that will enable you to feel confident working with data. With his expert guidance, you'll learn how to use a single-word command to sort files of any size by any criteria, identify duplicates, and perform numerous other common library tasks; understand data formats, delimited text and CSV files, XML, JSON, scripting, and other key components of data; undertake more sophisticated tasks such as comparing files, converting data from one format to another, reformatting values, combining data from multiple files, and communicating with APIs (Application Programming Interfaces); and save time and stress through simple techniques for transforming text, recognizing symbols that perform important tasks, a Regular Expression cheat sheet, a glossary, and other tools"-- Provided by publisher Data manipulation and analysis are easier than you might imagine. Using tools that come standard with your desktop computer, you can learn how to extract, manipulate, and analyse data of any size and complexity. This book familiarizes readers with easily digestible but powerful concepts that will enable you to feel confident working with data.