關於此課程：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. Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Programming Principles in Scala: https://www.coursera.org/learn/progfun1.
製作方： École Polytechnique Fédérale de Lausanne
教學方： Martin Odersky, Professor
Computer Science
| 基本信息 | 課程 2（共 5 門，Functional Programming in Scala Specialization ） |
| 級別 | 中級 |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
For Expressions and Monads
We'll start by revisiting some concepts that we have learned from Principles of Functional Programming in Scala; collections, pattern matching, and functions. We'll then touch on for-comprehensions, a powerful way in Scala to traverse a list, process it, and return a new list. We'll see how to do queries with for-comprehensions as well as how the for-comprehension is "desugared" into calls to higher-order functions by the Scala compiler. Finally, we'll discuss what monads are, and how to verify that the monad laws are satisfied for a number of examples.
10 個視頻, 11 個閱讀材料
- 視頻: Tools Setup for Mac OS X
- 視頻: Tools for Setup for Windows
- 視頻: Tutorial: Working on the Programming Assignments
- 阅读: Troubleshooting
- 阅读: Grading Policy
- 阅读: Tools Setup
- 阅读: Sbt Tutorial
- 阅读: Eclipse Tutorial
- 阅读: Intellij IDEA Tutorial
- 阅读: Scala Tutorial
- 阅读: Cheat Sheet
- 阅读: Reactive Cheat Sheet
- 阅读: Scala Style Guide
- 阅读: Learning Resources
- 未分级程序开发: Example Assignment
- 視頻: Recap: Functions and Pattern Matching
- 視頻: Recap: Collections
- 視頻: Lecture 1.1 - Queries with For
- 視頻: Lecture 1.2 - Translation of For
- 視頻: Lecture 1.3 - Functional Random Generators
- 視頻: Lecture 1.4 - Monads
第 2 週
Lazy Evaluation
This week we'll revisit performance issues caused by combinatorial search, and we'll discover an important concept in functional programming that can these issues: laziness. We'll also learn a little bit about proofs on trees; in particular, we'll see how to extend structural induction to trees.
5 個視頻
- 視頻: Lecture 2.2 - Streams
- 視頻: Lecture 2.3 - Lazy Evaluation
- 視頻: Lecture 2.4 - Computing with Infinite Sequences
- 視頻: Lecture 2.5 - Case Study: the Water Pouring Problem
- 未分级程序开发: Bloxorz
已評分: Bloxorz
第 3 週
Functions and State
This week, we'll learn about state and side-effects. Through a rich example, we'll learn programming patterns for managing state in larger programs. We'll also learn about for-loops and while-loops in Scala.
6 個視頻
- 視頻: Lecture 3.2 - Identity and Change
- 視頻: Lecture 3.3 - Loops
- 視頻: Lecture 3.4 - Extended Example: Discrete Event Simulation
- 視頻: Lecture 3.5 - Discrete Event Simulation: API and Usage
- 視頻: Lecture 3.6 - Discrete Event Simulation: Implementation and Test
- 未分级程序开发: Quickcheck
已評分: Quickcheck
第 4 週
Timely Effects
This week we'll learn a number of important programming patterns via examples, starting with the observer pattern, and then going on to functional reactive programming. We'll learn how latency can be modeled as an effect, and how latency can be handled with Scala's monadic futures. We'll learn the important combinators on futures as well as how they can be composed to build up rich and responsive services.
11 個視頻
- 視頻: Lecture 4.2 - Functional Reactive Programming
- 視頻: Lecture 4.3 - A Simple FRP Implementation
- 視頻: Lecture 4.4 - Latency as an Effect 1
- 視頻: Lecture 4.5 - Latency as an Effect 2
- 視頻: Lecture 4.6 - Combinators on Futures 1
- 視頻: Lecture 4.7 - Combinators on Futures 2
- 視頻: Lecture 4.8 - Composing Futures 1
- 視頻: Lecture 4.9 - Implementation of flatMap on Future
- 視頻: Lecture 4.10 - Composing Futures 2
- 視頻: Conclusion
- 未分级程序开发: Calculator
已評分: Calculator
常見問題解答
運作方式
课程作业
每门课程都像是一本互动的教科书，具有预先录制的视频、测验和项目。
来自同学的帮助
与其他成千上万的学生相联系，对想法进行辩论，讨论课程材料，并寻求帮助来掌握概念。
证书
获得正式认证的作业，并与朋友、同事和雇主分享您的成功。
製作方
École Polytechnique Fédérale de Lausanne
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
Excelente curso, Se aprende mucho y se pone mucho en practica
fire!
Great, informative course. My only issue is that some of the programming assignments seemed to focus on one specific portion of the week's material rather than testing bits of knowledge from across the week. This was especially pronounced in the week 3 assignment, which was more about learning a testing framework than anything. Still, overall it's a great course that's worth taking. I probably would give it 4.5/5 if I could
d
内容不错，但老师的教学方式太差了，就知道读PPT，害得我睡着好几次