Name: Scala for Data Science
Author: Pascal Bugnion
ISBN: 9781785289385

微信读书书城Scala for Data Science

首页我的书架登录

翻译完成

切换

Scala for Data Science

Pascal Bugnion

扉页
版权页
+书签
Credits
About the Author
About the Reviewers
www.PacktPub.com
Support files, eBooks, discount offers, and more
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. Scala and Data Science
Data science
Programming in data science
Why Scala?
When not to use Scala
Summary
References
Chapter 2. Manipulating Data with Breeze
Code examples
Installing Breeze
Getting help on Breeze
Basic Breeze data types
An example – logistic regression
Towards re-usable code
Alternatives to Breeze
Summary
References
Chapter 3. Plotting with breeze-viz
Diving into Breeze
Customizing plots
Customizing the line type
More advanced scatter plots
Multi-plot example – scatterplot matrix plots
Managing without documentation
Breeze-viz reference
Data visualization beyond breeze-viz
Summary
Chapter 4. Parallel Collections and Futures
Parallel collections
Futures
Summary
References
Chapter 5. Scala and SQL through JDBC
Interacting with JDBC
First steps with JDBC
JDBC summary
Functional wrappers for JDBC
Safer JDBC connections with the loan pattern
Enriching JDBC statements with the pimp my library pattern
Wrapping result sets in a stream
Looser coupling with type classes
Creating a data access layer
Summary
References
Chapter 6. Slick – A Functional Interface for SQL
FEC data
Invokers
Operations on columns
Aggregations with Group by
Accessing database metadata
Slick versus JDBC
Summary
References
Chapter 7. Web APIs
A whirlwind tour of JSON
Querying web APIs
JSON in Scala – an exercise in pattern matching
Extraction using case classes
Concurrency and exception handling with futures
Authentication – adding HTTP headers
Summary
References
Chapter 8. Scala and MongoDB
MongoDB
Connecting to MongoDB with Casbah
Inserting documents
Extracting objects from the database
Complex queries
Casbah query DSL
Custom type serialization
Beyond Casbah
Summary
References
Chapter 9. Concurrency with Akka
GitHub follower graph
Actors as people
Hello world with Akka
Case classes as messages
Actor construction
Anatomy of an actor
Follower network crawler
Fetcher actors
Routing
Message passing between actors
Queue control and the pull pattern
Accessing the sender of a message
Stateful actors
Follower network crawler
Fault tolerance
Custom supervisor strategies
Life-cycle hooks
What we have not talked about
Summary
References
Chapter 10. Distributed Batch Processing with Spark
Installing Spark
Acquiring the example data
Resilient distributed datasets
Building and running standalone programs
Spam filtering
Lifting the hood
Data shuffling and partitions
Summary
Reference
Chapter 11. Spark SQL and DataFrames
DataFrames – a whirlwind introduction
Aggregation operations
Joining DataFrames together
Custom functions on DataFrames
DataFrame immutability and persistence
SQL statements on DataFrames
Complex data types – arrays, maps, and structs
Interacting with data sources
Standalone programs
Summary
References
Chapter 12. Distributed Machine Learning with MLlib
Introducing MLlib – Spam classification
Pipeline components
Evaluation
Regularization in logistic regression
Cross-validation and model selection
Beyond logistic regression
Summary
References
Chapter 13. Web APIs with Play
Client-server applications
Introduction to web frameworks
Model-View-Controller architecture
Single page applications
Building an application
The Play framework
Dynamic routing
Actions
Interacting with JSON
Querying external APIs and consuming JSON
Creating APIs with Play: a summary
Rest APIs: best practice
Summary
References
Chapter 14. Visualization with D3 and the Play Framework
GitHub user data
Do I need a backend?
JavaScript dependencies through web-jars
Towards a web application: HTML templates
Modular JavaScript through RequireJS
Bootstrapping the applications
Client-side program architecture
Drawing plots with NVD3
Summary
References
Appendix A. Pattern Matching and Extractors
Pattern matching in for comprehensions
Pattern matching internals
Extracting sequences
Summary
Reference
Index

简介

版权

Scala for Data Science