scala-phash
scala
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scala-phash | scala | |
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0 | 38 | |
16 | 14,046 | |
- | 0.2% | |
0.0 | 9.7 | |
over 2 years ago | 1 day ago | |
Scala | Scala | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
scala-phash
We haven't tracked posts mentioning scala-phash yet.
Tracking mentions began in Dec 2020.
scala
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Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
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.
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A Small Introduction to Functional Programming
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.
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Micronaut vs others(Spring Boot, Quarkus and co.)
Tapir is a Scala framework. (which runs on the JDK) Since the recent release of version 1.0, it's become my go to for many projects. It doens't provide much in the way of integrations with 3rd party frameworks, but I actually prefer that. It does autogenerate great swagger docs though.
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Scala 2.13.9 is here
details: https://github.com/scala/scala/releases/tag/v2.13.9
It already 99% worked. We just needed to upgrade ASM to a version that recognizes JDK 19 bytecode, so the optimizer (which most people don't even use) can function on JDK 19. The PR was https://github.com/scala/scala/pull/10001 — eazy peazy.
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Scala 2 compiler plugin to detect unused expressions
See also https://github.com/scala/scala/pull/9893, this will be in the upcoming Scala 2.13.9.
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Programming languages used by top companies?
Scala - Popular in the data-science world, particularly when working with distributed data processing (e.g. Spark). Lots of large companies have dedicated data teams that process the huge amount of analytics and other data the games produce.
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Documentation?
www.scala-lang.org
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Appropriate, Correct, Robust, Usable, Maintainable, and Efficient (ACRUMEN) with Dave Aronson
I took a look at some Haskell; like I said, I never actually learned it, but I have seen some. And I briefly dipped my toes in Scala awhile back, and it seemed like a good thing. And then came the Phoenix web framework drawing heavily on the general concepts of Rails but with the slightly different philosophy of making things more explicit rather than the infamous Rails magic, which is so helpful when you're doing things the Rails way. But if you try to fight it at all, no, no, no, that magic is a plus-five sword against you. [laughter]
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Google has contributed a immensely to the software world with product and services like android which is open source, firebase, google colab, many programming languages and frameworks like flutter, what has apple really done?
It's not that I'm forced directly, but, well, there is a reason why Android apps are in very big part done in Java and Kotlin. The Android virtual machine, ARM, is not 100% compatible with standard JDK - and it looks like a deliberate decision that Google didn't put effort into making it compatible. With this in place - and with Kotlin being the one language backed up by Google for writing apps on Android - if you use anything else, you may run into some problems sooner or later. They are not unfixable, but it is an uphill battle, while in the same time everywhere you turn you will find comments along the lines of "why bother, just switch to Kotlin". And since Google is so big, this pressure is big enough to demotivate people from working on other solutions. Instead, they work on solutions supported by Google. Which creates an avalanche effect - it gets even easier to work in what Google backs up, and even harder to work in something else.
What are some alternatives?
kotlin - The Kotlin Programming Language.
rust - Empowering everyone to build reliable and efficient software.
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266
Angular - The modern web developer’s platform
Elixir - Elixir is a dynamic, functional language designed for building scalable and maintainable applications
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
F# - Please file issues or pull requests here: https://github.com/dotnet/fsharp
Metals - Scala language server with rich IDE features 🚀
Visual Studio Code - Visual Studio Code
clojure - The Clojure programming language
alephium - Reference client for Alephium protocol
scrimage - Java, Scala and Kotlin image processing library