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Learn MorePros of Jolie
Pros of R Language
Pros of Jolie
- Very short time from development to production.1
Pros of R Language
- Data analysis84
- Graphics and data visualization63
- Free54
- Great community45
- Flexible statistical analysis toolkit38
- Easy packages setup27
- Access to powerful, cutting-edge analytics27
- Interactive18
- R Studio IDE13
- Hacky9
- Shiny apps7
- Shiny interactive plots6
- Preferred Medium6
- Automated data reports5
- Cutting-edge machine learning straight from researchers4
- Machine Learning3
- Graphical visualization2
- Flexible Syntax1
Cons of Jolie
Cons of R Language
Cons of Jolie
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Cons of R Language
- Very messy syntax6
- Tables must fit in RAM4
- Arrays indices start with 13
- Messy syntax for string concatenation2
- No push command for vectors/lists2
- Messy character encoding1
- Poor syntax for classes0
- Messy syntax for array/vector combination0
What is Jolie?
Jolie crystallises the programming concepts of microservices as native language features: the basic building blocks of software are not objects or functions, but rather services that can always be relocated and replicated as needed. Distribution and reusability are achieved by design.
What is R Language?
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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Jobs that mention Jolie and R Language as a desired skillset
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What companies use R Language?
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What tools integrate with Jolie?
What tools integrate with R Language?
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Blog Posts
What are some alternatives to Jolie and R Language?
Scala
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Haskell
It is a general purpose language that can be used in any domain and use case, it is ideally suited for proprietary business logic and data analysis, fast prototyping and enhancing existing software environments with correct code, performance and scalability.
Common Lisp
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Elixir
Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.
Julia
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.