Benefits Of Dissecting A Cat - amazonia.fiocruz.br

Benefits Of Dissecting A Cat Video

Automated testing is key to ensuring the ongoing health and well-being of any software project,giving developers and users confidence that their software works as intended. Property based testing is a significant step forward compared to traditional unit tests, exercising code with randomly generated inputs to ensure that key properties hold. However, both of these techniques tend to be used at the level of individual functions.

Many important properties of an application only appear at a higher level, and depend on the state of the application under test. The Haskell library hedgehog, a relative newcomer to the property based testing world, includes facilities for property-based state machine testing, giving developers a foundation on which to build these more complicated tests. In this talk, Andrew will give you an introduction to state machine property testing using hedgehog.

He'll start with a quick refresher on property based testing, followed by a brief introduction to state machines and the sorts of applications they can be used to model.

From there, he'll take you on a guided tour of hedgehog's state machine testing facilities. Finally, Andrew will present a series of examples to show off what you can do and hopefully give you enough ideas to start applying this tool to your own projects. The first set of examples will test a web application written in Haskell. These tests will include: content creation and deletion, uniqueness constraints, authentication, and concurrent transactions.

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A second set of examples will test an application written in a language this web page than Haskell to demonstrate that this technique is not limited to applications written in Haskell. An intermediate knowledge of Haskell and familiarity with property based testing will be beneficial,but not essential.

The slides and demo application will be available after the talk for people to study in detail. The Benefits Of Dissecting A Cat and complexity of examples will depend on the time available. For example, parallel examples may not be covered. How do you decide whether a programming language is worth using or not? By necessity, such decisions are usually based on assessments that can be made relatively quickly: the ease of using the language, how productive you feel in the first week, and so on. Unfortunately, this tells us very little about the costs involved in continuing to maintain a project past that initial phase. And in reality, the vast majority of time spent on most projects is spent in those later phases.

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I'm going to claim, based on my own experience and analysis of language features, that functional programming in general, and Haskell in particular, are well suited Beenfits improving this long tail of projects. We need languages and programming techniques that allow broad codebase refactorings, significant requirements changes, improving performance in hotspots of the code, and reduced debug time. I believe Haskell checks these boxes. In Indian classical music, we have Jugalbandi, where two lead musicians or vocalist engage in a playful competition. There is jugalbandi between Flutist and a Percussionist say using Tabla as the instrument.

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Compositions rendered by flutist will be heard by Benefits Of Dissecting A Cat percussionist and will replay the same notes, but now on Tabla and vice-versa is also possible. This time the focus of Code Jugalbandi will be on exploring concurrency models in Or languages. Functional Programming has made programming concurrency easier as compared to imperative programming. We sorely missed the rapid "refresh-based" feedback loop available in Rails and other dynamically typed web frameworkswhile writing Haskell.

Change your code, hit save, and refresh your browser! In this talk we will share a few tips on how we finally hit productivity nirvana with ghcid and automated code-gen. Functional programming is built around a foundation of well-defined Types, and when you throw in Typeclasses into the mix, you get the love-child that is Algebraic Data Types.

I will also be introducing the scalacheck library for Property-based testing and how you can quickly validate your ADT domains. The talk will further deep-dive into how you can utilize the amazing Cats library and Shapeless to build generic libraries around your ADTs, having Circe as a case-study. Modern languages have many useful language features that are Dssecting to create DSLs with more ease than ever before. Kotlin from JetBrains is a beautifully blended pragmatic programming language that packages many features from Benefits Of Dissecting A Cat programming languages.

Kotlin also have infix operation which makes code written in a DSL made with Kotlin very easy to read and therefore less error-prone. A code that works, and a code that is elegant and works is art. In this example, audience will see how they can use several language features that Kotlin has to offer can be put together to create an elegant and expandable unit testing DSL. Category Theory has Benefiits found to have a vast field of applications not limited to programming alone.]