Funktionelle Programmierung lernen.

Zielgruppe
Sie wissen nicht, was Funktionelle Programmierung ist - wollen aber mehr darüber wissen. Dann sind Sie in diesem Kurs richtig.
Dauer
5 Tage

Preis
2.040 EUR zzgl. Steuer
Inhalte:

Part 1 Learning to think functionally
1 Thinking differently
1.1 What is functional programming?
1.2 The path to real-world functional programming
1.3 Being productive with functional programming
1.4 Functional programming by example
1.5 Introducing F#
1.6 Summary
2 Core concepts in functional programming
2.1 The foundation of functional programming
2.2 Evaluation of functional programs
2.3 Writing declarative code
2.4 Functional types and values
2.5 Summary
3 Meet tuples, lists, and functions in F# and C#
3.1 Value and function declarations
3.2 Using immutable data structures
3.3 Lists and recursion
3.4 Using functions as values
3.5 Summary
4 Exploring F# and .NET libraries by example
4.1 Drawing pie charts in F#
4.2 Writing and testing code in FSI
4.3 Creating a console application
4.4 Creating a Windows Forms application
4.5 Summary
Part 2 Fundamental functional techniques
5 Using functional values locally
5.1 What are values?
5.2 Multiple values
5.3 Alternative values
5.4 Generic values
5.5 Function values
5.6 Summary
6 Processing values using higher-order functions
6.1 Generic higher-order functions
6.2 Working with tuples
6.3 Working with schedules
6.4 Working with the option type
6.5 Working with functions
6.6 Type inference
6.7 Working with lists
6.8 Common processing language
6.9 Summary
7 Designing data-centric programs
7.1 Functional data structures
7.2 Flat document representation
7.3 Structured document representation
7.4 Writing operations
7.5 Object-oriented representations
7.6 Summary
8 Designing behavior-centric programs
8.1 Using collections of behaviors
8.2 Idioms for working with functions
8.3 Working with composed behaviors
8.4 Combining data and behaviors
8.5 Summary
Part 3 Advanced F# programming techniques
9 Turning values into F# object types with members
9.1 Improving data-centric applications
9.2 Improving behavior-centric applications
9.3 Working with .NET interfaces
9.4 Concrete object types
9.5 Using F# libraries from C#
9.6 Summary
10 Efficiency of data structures
10.1 Optimizing functions
10.2 Working with large collections
10.3 Introducing continuations
10.4 Summary
11 Refactoring and testing functional programs
11.1 Refactoring functional programs
11.2 Testing functional code
11.3 Refactoring the evaluation order
11.4 Using lazy values in practice
11.5 Summary
12 Sequence expressions and alternative workflows
12.1 Generating sequences
12.2 Mastering sequence expressions
12.3 Processing sequences
12.4 Introducing alternative workflows
12.5 First steps in custom computations
12.6 Implementing computation expressions for options
12.7 Augmenting computations with logging
12.8 Summary
Part 4 Applied functional programming
13 Asynchronous and data-driven programming
13.1 Asynchronous workflows
13.2 Connecting to the World Bank
13.3 Exploring and obtaining the data
13.4 Gathering information from the data
13.5 Visualizing data using Excel
13.6 Summary
14 Writing parallel functional programs
14.1 Understanding different parallelization techniques
14.2 Running graphical effects in parallel
14.3 Creating a parallel simulation
14.4 Summary
15 Creating composable functional libraries
15.1 Approaches for composable design
15.2 Creating animated values
15.3 Writing computations with behaviors
15.4 Working with drawings
15.5 Creating animations
15.6 Developing financial modeling language
15.7 Summary
16 Developing reactive functional programs
16.1 Reactive programming using events
16.2 Creating reactive animations
16.3 Programming UIs using workflows
16.4 Storing state in reactive applications
16.5 Message passing concurrency
16.6 Summary