Clojure Cookbook. Recipes for Functional Programming Luke VanderHart, Ryan Neufeld

Spis treści książki

• Clojure Cookbook
• Preface
  • How This Book Was Written
  • Audience
  • Other Resources
  • Structure
  • Software Prerequisites
  • Conventions Used in This Book
  • Using Code Examples
  • Safari Books Online
  • How to Contact Us
  • Acknowledgments
• 1. Primitive Data
  • 1.0. Introduction
  • 1.1. Changing the Capitalization of a String
  • 1.2. Cleaning Up Whitespace in a String
  • 1.3. Building a String from Parts
  • 1.4. Treating a String as a Sequence of Characters
  • 1.5. Converting Between Characters and Integers
  • 1.6. Formatting Strings
  • 1.7. Searching a String by Pattern
  • 1.8. Pulling Values Out of a String Using Regular Expressions
  • 1.9. Performing Find and Replace on Strings
  • 1.10. Splitting a String into Parts
  • 1.11. Pluralizing Strings Based on a Quantity
  • 1.12. Converting Between Strings, Symbols, and Keywords
  • 1.13. Maintaining Accuracy with Extremely Large/Small Numbers
  • 1.14. Working with Rational Numbers
  • 1.15. Parsing Numbers
  • 1.16. Truncating and Rounding Numbers
  • 1.17. Performing Fuzzy Comparison
  • 1.18. Performing Trigonometry
  • 1.19. Inputting and Outputting Integers with Different Bases
  • 1.20. Calculating Statistics on Collections of Numbers
  • 1.21. Performing Bitwise Operations
  • 1.22. Generating Random Numbers
  • 1.23. Working with Currency
  • 1.24. Generating Unique IDs
  • 1.25. Obtaining the Current Date and Time
  • 1.26. Representing Dates as Literals
  • 1.27. Parsing Dates and Times Using clj-time
  • 1.28. Formatting Dates Using clj-time
  • 1.29. Comparing Dates
  • 1.30. Calculating the Length of a Time Interval
  • 1.31. Generating Ranges of Dates and Times
  • 1.32. Generating Ranges of Dates and Times Using Native Java Types
  • 1.33. Retrieving Dates Relative to One Another
  • 1.34. Working with Time Zones
  • 1.35. Converting a Unix Timestamp to a Date
  • 1.36. Converting a Date to a Unix Timestamp
• 2. Composite Data
  • 2.0. Introduction
  • 2.1. Creating a List
  • 2.2. Creating a List from an Existing Data Structure
  • 2.3. Adding an Item to a List
  • 2.4. Removing an Item from a List
  • 2.5. Testing for a List
  • 2.6. Creating a Vector
  • 2.7. Adding an Item to a Vector
  • 2.8. Removing an Item from a Vector
  • 2.9. Getting the Value at an Index
  • 2.10. Setting the Value at an Index
  • 2.11. Creating a Set
  • 2.12. Adding and Removing Items from Sets
  • 2.13. Testing Set Membership
  • 2.14. Using Set Operations
  • 2.15. Creating a Map
  • 2.16. Retrieving Values from a Map
  • 2.17. Retrieving Multiple Keys from a Map Simultaneously
  • 2.18. Setting Keys in a Map
  • 2.19. Using Composite Values as Map Keys
  • 2.20. Treating Maps as Sequences (and Vice Versa)
  • 2.21. Applying Functions to Maps
  • 2.22. Keeping Multiple Values for a Key
  • 2.23. Combining Maps
  • 2.24. Comparing and Sorting Values
  • 2.25. Removing Duplicate Elements from a Collection
  • 2.26. Determining if a Collection Holds One of Several Values
  • 2.27. Implementing Custom Data Structures: Red-Black TreesPart I
  • 2.28. Implementing Custom Data Structures: Red-Black TreesPart II
• 3. General Computing
  • 3.0. Introduction
  • 3.1. Running a Minimal Clojure REPL
  • 3.2. Interactive Documentation
  • 3.3. Exploring Namespaces
  • 3.4. Trying a Library Without Explicit Dependencies
  • 3.5. Running Clojure Programs
  • 3.6. Running Programs from the Command Line
  • 3.7. Parsing Command-Line Arguments
  • 3.8. Creating Custom Project Templates
  • 3.9. Building Functions with Polymorphic Behavior
  • 3.10. Extending a Built-In Type
  • 3.11. Decoupling Consumers and Producers with core.async
  • 3.12. Making a Parser for Clojure Expressions Using core.match
  • 3.13. Querying Hierarchical Graphs with core.logic
  • 3.14. Playing a Nursery Rhyme
• 4. Local I/O
  • 4.0. Introduction
  • 4.1. Writing to STDOUT and STDERR
  • 4.2. Reading a Single Keystroke from the Console
  • 4.3. Executing System Commands
  • 4.4. Accessing Resource Files
  • 4.5. Copying Files
  • 4.6. Deleting Files or Directories
  • 4.7. Listing Files in a Directory
  • 4.8. Memory Mapping a File
  • 4.9. Reading and Writing Text Files
  • 4.10. Using Temporary Files
  • 4.11. Reading and Writing Files at Arbitrary Positions
  • 4.12. Parallelizing File Processing
  • 4.13. Parallelizing File Processing with Reducers
  • 4.14. Reading and Writing Clojure Data
  • 4.15. Using edn for Configuration Files
  • 4.16. Emitting Records as edn Values
  • 4.17. Handling Unknown Tagged Literals When Reading Clojure Data
  • 4.18. Reading Properties from a File
  • 4.19. Reading and Writing Binary Files
  • 4.20. Reading and Writing CSV Data
  • 4.21. Reading and Writing Compressed Files
  • 4.22. Working with XML Data
  • 4.23. Reading and Writing JSON Data
  • 4.24. Generating PDF Files
  • 4.25. Making a GUI Window with Scrollable Text
• 5. Network I/O and Web Services
  • 5.0. Introduction
  • 5.1. Making HTTP Requests
  • 5.2. Performing Asynchronous HTTP Requests
  • 5.3. Sending a Ping Request
  • 5.4. Retrieving and Parsing RSS Data
  • 5.5. Sending Email
  • 5.6. Communicating over Queues Using RabbitMQ
  • 5.7. Communicating with Embedded Devices via MQTT
  • 5.8. Using ZeroMQ Concurrently
  • 5.9. Creating a TCP Client
  • 5.10. Creating a TCP Server
  • 5.11. Sending and Receiving UDP Packets
• 6. Databases
  • 6.0. Introduction
  • 6.1. Connecting to an SQL Database
  • 6.2. Connecting to an SQL Database with a Connection Pool
  • 6.3. Manipulating an SQL Database
  • 6.4. Simplifying SQL with Korma
  • 6.5. Performing Full-Text Search with Lucene
  • 6.6. Indexing Data with ElasticSearch
  • 6.7. Working with Cassandra
  • 6.8. Working with MongoDB
  • 6.9. Working with Redis
  • 6.10. Connecting to a Datomic Database
  • 6.11. Defining a Schema for a Datomic Database
  • 6.12. Writing Data to Datomic
  • 6.13. Removing Data from a Datomic Database
  • 6.14. Trying Datomic Transactions Without Committing Them
  • 6.15. Traversing Datomic Indexes
• 7. Web Applications
  • 7.0. Introduction
  • 7.1. Introduction to Ring
  • 7.2. Using Ring Middleware
  • 7.3. Serving Static Files with Ring
  • 7.4. Handling Form Data with Ring
  • 7.5. Handling Cookies with Ring
  • 7.6. Storing Sessions with Ring
  • 7.7. Reading and Writing Request and Response Headers in Ring
  • 7.8. Routing Requests with Compojure
  • 7.9. Performing HTTP Redirects with Ring
  • 7.10. Building a RESTful Application with Liberator
  • 7.11. Templating HTML with Enlive
  • 7.12. Templating with Selmer
  • 7.13. Templating with Hiccup
  • 7.14. Rendering Markdown Documents
  • 7.15. Building Applications with Luminus
• 8. Performance and Production
  • 8.0. Introduction
  • 8.1. AOT Compilation
  • 8.2. Packaging a Project into a JAR File
  • 8.3. Creating a WAR File
  • 8.4. Running an Application as a Daemon
  • 8.5. Alleviating Performance Problems with Type Hinting
  • 8.6. Fast Math with Primitive Java Arrays
  • 8.7. Simple Profiling with Timbre
  • 8.8. Logging with Timbre
  • 8.9. Releasing a Library to Clojars
  • 8.10. Using Macros to Simplify API Deprecations
• 9. Distributed Computation
  • 9.0. Introduction
  • 9.1. Building an Activity Feed System with Storm
  • 9.2. Processing Data with an Extract Transform Load (ETL) Pipeline
  • 9.3. Aggregating Large Files
  • 9.4. Testing Cascalog Workflows
  • 9.5. Checkpointing Cascalog Jobs
  • 9.6. Explaining a Cascalog Query
  • 9.7. Running a Cascalog Job on Elastic MapReduce
• 10. Testing
  • 10.0. Introduction
  • 10.1. Unit Testing
  • 10.2. Testing with Midje
  • 10.3. Thoroughly Testing by Randomizing Inputs
  • 10.4. Finding Values That Cause Failure
  • 10.5. Running Browser-Based Tests
  • 10.6. Tracing Code Execution
  • 10.7. Avoiding Null-Pointer Exceptions with core.typed
  • 10.8. Verifying Java Interop Using core.typed
  • 10.9. Type Checking Higher-Order Functions with core.typed
• Index
• About the Authors
• Colophon
• Copyright

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