![]() This, Here, is an easy way to do exactly that. Since Clojure runs on the Java Virtual Machine, one will need to install Java on your system. This post will covers the installation of Clojure and an editor on Ubuntu Linux to set up a REPL. This makes it easy to experiment with some simple expressions. We’ll discuss common pain points and user stories before leveraging existing tools to deal with them.Those who really want to start learning a language will find it easier to start learning the language by setting up a REPL as fast as possible. This talk will provide concrete examples on how data access in Clojure can be simplified. There are the wonderful abstractions of Haxl, or the way GraphQL lets us think about the structure of our information. In the wild, we can find multiple exciting ideas and projects. And you don’t care much for having to manually optimise your data access. You don’t want to lose yourself in custom variants of your data that require you to add or remove fields from some base document. But you don’t want to think about the order different pieces of information are fetched in. Oftentimes, you can find them split up over a variety of sources and formats – and it is your job to select, filter, and combine them. When it comes to data there are a thousand worlds with a thousand shapes. ![]() I want to give an account of what one can expect from such a system, where Clojure helped development and where it failed and also what can be expected to be built with such systems in the future compared to traditional architectures. The system is used in several prototypes and we plan to use it for small production problems next. I had to bend Clojure, ClojureScript, core.async, a bunch of IO libraries and myself a lot to integrate it from JVM to the web browser the way I wanted, but am fairly happy with the result so far. Do you remember the happy times when instead of starting with a central system and building a ton of glue code just to form interfaces (REST, …) to your users in a prototype you could just manage state locally as a native application? Over the last three years I have built and explored replikativ, a system built around a sound eventual consistent formalism (CRDTs). Why are distributed systems still so hard even for “simple” web apps? Why are most systems still built with no formalism in an adhoc fashion around a central strongly consistent system only to later introduce all kinds of slightly or not so slightly inconsistent caches and local states? Why is prototyping of these systems despite these simplifications still so elaborate and integration of new mutable data sources so time consuming?ĭon’t be fooled! While distributed architectures have different tradeoffs and you have to decide, there are reasonable defaults which work well even when you cannot draw the boundaries of your system yet. Making Games at Runtime with ClojureScript How broken are our secrets? A foray into modern symmetric crypto and its state on JVM and in Clojure Packet Capturing with the JVM and Clojure - Yes we can! Making design decisions in React-based ClojureScript web applications Writing Clojure at Runtime with Nightlight ![]() On automatic generation of user interfaces Speculative Development: Leveraging clojure.spec to write correct, beautifully documented APIs
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