thomasdarimont

import java.lang.reflect.InvocationHandler;
import java.lang.reflect.Method;
import java.lang.reflect.Proxy;
import java.lang.reflect.Type;
import java.util.Arrays;
import java.util.List;
import java.util.Map;

public class Test {
    public interface TestService{

thomasdarimont

If you're coming to the Property-Based TDD As If You Meant It Workshop, you will need to bring a laptop with your favourite programming environment, a property-based testing library and, depending on the language, a test framework to run the property-based-tests.

Any other languages or suggestions? Comment below.

.NET (C#, F#, VB)

• FsCheck

Python:

thomasdarimont

1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep