R developer salary August 2017

United States developers labor market analysis according to the results of August, 2017
23 August 2017   755

We publish the analysis of the labour market of developers in the United States monthly. For R developers there were 35 vacancies. The vacancy rates were distributed as follows. 

Salary Estimate R August 2017 R developer salary estimate 

The most of the developers are required in Austin, TX; the least in Los Angeles, CA.

Number of vacancies in different cities R August 2017  Number of R developer vacancies in different cities 

Among the companies that hire R developers the leaders are: 

  • University of Texas at Austin
  • Cognizant
  • Midwest Cloud Computing

Number of vacancies in different companies R August 2017 Number of R developer vacancies in different companies 

According to the experience required, the vacancies are distributed as follows. However, please, note that there's no data on the number of vacancies by experience level as well as data on salary for senior level of experience as, probably, it is not so popular and only beginners are needed. 

Number of vacancies by experience level R August 2017 R developer vacancies by the experience level

The average salary and salary according to the level of experience were distributed as follows.

Average salary R August 2017 R developer average salary

The analysis was carried out by the Hype.codes portal method using the indeed.com data.

GraalVM 19.0.3 to be Released

Along with a new update, virtual machine implementations for in JS, Python, Ruby and R received updates too
21 November 2019   318

Oracle has published the release of the universal virtual machine GraalVM 19.3.0, which supports running applications in JavaScript (Node.js), Python, Ruby, R, any languages ​​for JVM (Java, Scala, Clojure, Kotlin) and languages ​​for which the bitcode can be generated LLVM (C, C ++, Rust). Branch 19.3 is classified as long-term support (LTS) and is notable for JDK 11 support, including the ability to compile Java code into executable files (GraalVM Native Image). The project code is distributed under the GPLv2 license. At the same time, new versions of GraalVM-based implementations of the Python, JavaScript, Ruby, and R languages ​​— GraalPython, GraalJS, TruffleRuby, and FastR — have been released.

GraalVM provides a JIT compiler that can execute on-the-fly code of any scripting language in the JVM, including JavaScript, Ruby, Python, and R, and also makes it possible to run native code in the JVM, converted to LLVM bitcode. The tools provided by GraalVM include a language-independent debugger, a profiling system, and a memory allocation analyzer. GraalVM makes it possible to create combined applications with components in different languages, allowing you to access objects and arrays from code in other languages. For languages ​​based on the JVM, it is possible to create executable files compiled into machine code that can be executed directly with minimal memory consumption (memory and thread management are implemented through the connection of the Substrate VM framework).

GraalJS changes (full list):

  • Implemented the Promise.allSettled proposal. It is available in ECMAScript 2020 mode (--js.ecmascript-version=2020).
  • Implemented the nullish coalescing proposal. It is available in ECMAScript 2020 mode (--js.ecmascript-version=2020).
  • Updated ICU4J library to version 64.2.

GraalPython changes (full list):

  • Implement gc.{enable,disable,isenabled} as stubs
  • Implement charmap_build function
  • Implement hexversion in sys module

TruffleRuby changes (full list):

  • Compilation of C extensions is now done with an internal LLVM toolchain producing both native code and bitcode. This means more C extensions should compile out of the box and this should resolve most linker-related issues.
  • It is no longer necessary to install LLVM for installing C extensions on TruffleRuby.
  • It is no longer necessary to install libc++ and libc++abi for installing C++ extensions on TruffleRuby.

 And FastR chages (full list):

  • In this release, FastR does not ship with GCC runtime libraries. Use the following commands to install the necessary dependencies:
  • Preview of support for LLVM based execution of R native extensions
  • Fixed memory leaks reported on GitHub