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Clojure
datarobotBased on our record, Clojure seems to be a lot more popular than datarobot. While we know about 42 links to Clojure, we've tracked only 1 mention of datarobot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
One of the most famous talks in computer science is Simple Made Easy by Rich Hickey, The creator of the programming language Clojure. In it, he explains that, "simple" and "easy" are not the same thing. He refers to the word origins of the two words:. - Source: dev.to / 8 days ago
This series of post will try to explain a complex topic: concurrent and parallel programming, in Dart. I think the only way to deal with that is using the Erlang VM (BEAM), but Clojure and other functional languages are usually doing better job on this part. Unfortunately, to me, most of other languages using OOP don't offer a great abstraction to concurrency and parallelism, but during the last decade, things are... - Source: dev.to / about 2 months ago
Oversimplifying, there are three big variants: Common Lisp, Scheme, Clojure. Each of them has a lot of somewhat similar implementations: * Clojure: A lot of support for immutable data. It runs in the JVM so you will have a lot of the libraries you are use to. Probably the best option for you. https://clojure.org/ * Scheme, in particular Racket: Mostly functional, and in particular Racket has a lot of support to... - Source: Hacker News / about 1 year ago
Another project of mine Bob can be seen as an example of spec-first design. All its tooling follow that idea and its CLI inspired Climate. A lot of Bob uses Clojure a language that I cherish and who's ideas make me think better in every other place too. - Source: dev.to / over 1 year ago
Clojure is a LISP for the Java Virtual Machine (JVM). As a schemer, I wondered if I should give Clojure a go professionally. After all, I enjoy Rich Hickey's talks and even Uncle Bob is a Clojure fan. So I considered strength and weaknesses from my point of view:. - Source: dev.to / over 1 year ago
To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group. We used DataRobotโs models to predict which team would win each match to simulate the final nine matchdays 10,000 times. For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: over 3 years ago
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Statista - The Statistics Portal for Market Data, Market Research and Market Studies
Rust - A safe, concurrent, practical language
Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...