北京赛车pk10开奖结果:Scala 功能编程专项课程

Functional Programming in Scala

北京赛车pk10官网 www.o83r.com.cn Program on a Higher Level. Write elegant functional code to analyze data that’s big or small





5 个月

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Discover how to write elegant code that works the first time it is run.

This Specialization provides a hands-on introduction to functional programming using the widespread programming language, Scala. It begins from the basic building blocks of the functional paradigm, first showing how to use these blocks to solve small problems, before building up to combining these concepts to architect larger functional programs. You’ll see how the functional paradigm facilitates parallel and distributed programming, and through a series of hands on examples and programming assignments, you’ll learn how to analyze data sets small to large; from parallel programming on multicore architectures, to distributed programming on a cluster using Apache Spark. A final capstone project will allow you to apply the skills you learned by building a large data-intensive application using real-world data.


Write purely functional programs using recursion, pattern matching, and higher-order functions

Design immutable data structures

Write programs that effectively use parallel collections to achieve performance

Manipulate data with Spark and Scala


第 1 门课程
Scala 函数式程序设计原理
函数式编程在工业界的应用日趋广泛。Scala作为众多应用使用的主要语言大力推进了这一趋势。Scala融合了函数式编程和面向对象编程的有点,可以和Java以及JavaScript无缝衔接。很多重量级的应用框架像Apache Spark,Kafka以及Akka都是使用Scala实现的。而这些应用框架正是很多网站的核心基础框架,像Twitter,Tumblr 和Coursera。





听众最好有以下背景:至少一年的编程经验,最好能熟练掌握Java或者C#,但是使用过其他语言像是 C/C++, Python, Javascript或者Ruby也足以上这门课。熟悉命令行编程。

第 2 门课程
Functional Program Design in Scala
In this course you will learn how to apply the functional programming style in the design of larger applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world.

Several parts of this course deal with the question how functional programming interacts with mutable state. We will explore the consequences of combining functions and state. We will also look at purely functional alternatives to mutable state, using infinite data structures or functional reactive programming.

Learning Outcomes. By the end of this course you will be able to:

- recognize and apply design principles of functional programs,
- design functional libraries and their APIs,
- competently combine functions and state in one program,
- understand reasoning techniques for programs that combine
functions and state,
- write simple functional reactive applications.

第 3 门课程
With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.

Learning Outcomes. By the end of this course you will be able to:

- reason about task and data parallel programs,
- express common algorithms in a functional style and solve them in parallel,
- competently microbenchmark parallel code,
- write programs that effectively use parallel collections to achieve performance

第 4 门课程
Big Data Analysis with Scala and Spark
Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance.

Learning Outcomes. By the end of this course you will be able to:

- read data from persistent storage and load it into Apache Spark,
- manipulate data with Spark and Scala,
- express algorithms for data analysis in a functional style,
- recognize how to avoid shuffles and recomputation in Spark,

第 5 门课程
Functional Programming in Scala Capstone
In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data.

You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world.

The development of such an application will involve:
— transforming data provided by weather stations into meaningful information like, for instance, the average temperature of each point of the globe over the last ten years ;
— then, making images from this information by using spatial and linear interpolation techniques ;
— finally, implementing how the user interface will react to users’ actions.

  • Coursera
  • edX
  • OpenLearning
  • FutureLearn
  • iversity
  • Udacity
  • NovoEd
  • Canvas
  • Open2Study
  • Google
  • ewant
  • FUN
  • IOC-Athlete-MOOC
  • World-Science-U
  • Codecademy
  • CourseSites
  • opencourseworld
  • ShareCourse
  • gacco
  • MiriadaX
  • openhpi
  • Stanford-Open-Edx
  • 网易云课堂
  • 中国大学MOOC
  • 学堂在线
  • 顶你学堂
  • 华文慕课
  • 好大学在线CnMooc
  • 以及更多...

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