FuncFrog VS scala

func GetIDs(...) ([]string, ...) { <...> users := GetUsers(...) return ff.Map(users, domain.UserGetID).Do(), ... } ``` Now it's that easy! Furthermore you may like to write gogenerate function to generate such methods for each domain struct. Also there are more cool features, minimal-lock parallelism, error handling etc. in the libtaty https://github.com/koss-null/FuncFrog Cheers!

if it have to be in FP style, this one is better

https://github.com/koss-null/FuncFrog

still prefer non-FP part tho

Hi there! I have finally released a stable version of my stream-like library. It supports some basic features such as Map, Reduce, Filter, Sort, Any, First on any slice or generating function, easy out-of-the-box parallelism with minimum locks and overhead on a regular for cycle. Here it is: https://github.com/koss-null/FuncFrog First of all I will appreciate any code review. Any feedback are welcome. At second, I want to ask the community, what features do you expect to be in such kind of a library and how do you expect them to be implemented? It looks like I need to add some Collect function to be able to produce not only slices, and also add some sources such as BufferedReader or channel.

Hi gophers! In last months I've been working on a FuncFrog - java stream-api - like library, which is fast, parallel, lazy-evaluated and generic-based! You can check it out here: https://github.com/koss-null/FuncFrog

Check this out. I will be glad to any comments and notes https://github.com/koss-null/lambda/tree/0.3.0

I am rly strugging with it developing this:https://github.com/koss-null/lambda

Hi! Some te ago I've released the first beta of my stream-api like library. It have become much more useful and stable since then. Here is is: https://github.com/koss-null/lambda

Check the code out here: https://github.com/koss-null/lambda

Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.

8. Scala - $96,381

Scala

Big Scala vibes here, see also [1].

1: https://github.com/scala/scala/blob/v2.13.11/src/library/sca...

For details, refer to the release notes on GitHub: * https://github.com/scala/scala/releases/tag/v2.13.11 * https://github.com/scala/scala/releases/tag/v2.12.18

Scala is the next-generation Java virtual machine (JVM) language that is rapidly gaining popularity as a modern alternative to Java.

Compiling Scala without a SAT solver is probably too difficult.

The CNF Converter is a gem.

https://github.com/scala/scala/blob/v2.13.5/src/compiler/sca...

In addition to Structured Query Language(SQL), we can also use a variety of different programming languages, such as Python, Java, JavaScript, R, Julia, Scala, or any other programming language as long as it supports a basic database connection and functions to perform all of those operations, to connect to databases and perform more advanced query operations on the data. This gives us greater flexibility and allows us to apply custom-created logic to the data.

Based on Lambda Calculus, developed by Alonzo Church in the 1930s, functional programming has been implemented in mainstream programming languages like JavaScript, Python and Java. Programming languages like Erlang, Haskell or Scala are better suited for functional programming as they are designed to be functional first.

Scala