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Arc vs R: What are the differences?

Developers describe Arc as "A dialect of the Lisp programming language developed by Paul Graham and Robert Morris". Arc is designed for exploratory programming: the kind where you decide what to write by writing it. A good medium for exploratory programming is one that makes programs brief and malleable, so that's what we've aimed for. This is a medium for sketching software. On the other hand, R is detailed as "A language and environment for statistical computing and graphics". R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

Arc and R belong to "Languages" category of the tech stack.

AdRoll, Instacart, and Verba are some of the popular companies that use R, whereas Arc is used by Helpful, Cask, and Icalia Labs. R has a broader approval, being mentioned in 128 company stacks & 97 developers stacks; compared to Arc, which is listed in 7 company stacks and 6 developer stacks.

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What is Arc?

Arc is designed for exploratory programming: the kind where you decide what to write by writing it. A good medium for exploratory programming is one that makes programs brief and malleable, so that's what we've aimed for. This is a medium for sketching software.

What is R?

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
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      What are some alternatives to Arc and R?
      PHP
      Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
      JavaScript
      JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
      Python
      Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
      Java
      Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
      HTML5
      HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.
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      Decisions about Arc and R
      Eric Colson
      Eric Colson
      Chief Algorithms Officer at Stitch Fix · | 19 upvotes · 445.5K views
      atStitch FixStitch Fix
      Kafka
      Kafka
      PostgreSQL
      PostgreSQL
      Amazon S3
      Amazon S3
      Apache Spark
      Apache Spark
      Presto
      Presto
      Python
      Python
      R
      R
      PyTorch
      PyTorch
      Docker
      Docker
      Amazon EC2 Container Service
      Amazon EC2 Container Service
      #AWS
      #Etl
      #ML
      #DataScience
      #DataStack
      #Data

      The algorithms and data infrastructure at Stitch Fix is housed in #AWS. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. We store data in an Amazon S3 based data warehouse. Apache Spark on Yarn is our tool of choice for data movement and #ETL. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.

      Beyond data movement and ETL, most #ML centric jobs (e.g. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see https://github.com/stitchfix/flotilla-os).

      At Stitch Fix, algorithmic integrations are pervasive across the business. We have dozens of data products actively integrated systems. That requires serving layer that is robust, agile, flexible, and allows for self-service. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. This provides our data scientist a one-click method of getting from their algorithms to production. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product.

      For more info:

      #DataScience #DataStack #Data

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      Reviews of Arc and R
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      How developers use Arc and R
      Avatar of benyomin
      benyomin uses RR

      What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.

      Avatar of Ralic Lo
      Ralic Lo uses RR

      Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.

      Avatar of Tino Gehlert
      Tino Gehlert uses RR

      Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)

      Avatar of Sesync
      Sesync uses RR

      R is primarily used by SESYNC's researchers

      Avatar of STILLWATER SUPERCOMPUTING INC
      STILLWATER SUPERCOMPUTING INC uses RR

      Offline deep analytics and modeling

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