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Python - Programming Language

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. It is embeddable within applications as a scripting interface. Build flexible data-driven code using Python's powerful and dynamic introspection capabilities and advanced language features such as meta-classes, duck typing and decorators.

Ruby - Programming Language

A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write. The syntax inspired by Perl with Smalltalk-like features. It was also influenced by Eiffel and Lisp. It is a scripting language that is more powerful than Perl, and more object-oriented than Python.

R Language - Project for Statistical Computing

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S 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.

Scala Language - Object-Oriented Meets Functional

Scala is a pure-bred object-oriented language. Conceptually, every value is an object and every operation is a method-call. The language supports advanced component architectures through classes and traits. Even though its syntax is fairly conventional, Scala is also a full-blown functional language. It has everything you would expect, including first-class functions, a library with efficient immutable data structures, and a general preference of immutability over mutation.

Pharo - Smalltalk inspired language

Pharo is an open source Smalltalk. The goal of Pharo is to produce a clean and lean open-source Smalltalk. Pharo wants to bring Squeak to the next level. It is a pure object-oriented language with low memory footprint.

Squeak - powerful Smalltalk programming language

Squeak is a modern, open source, full-featured implementation of the powerful Smalltalk programming language and environment. Squeak is highly-portable - even its virtual machine is written entirely in Smalltalk making it easy to debug, analyze, and change. Squeak is the vehicle for a wide range of projects from multimedia applications, educational platforms to commercial web application development.

PyPy - fast, compliant alternative implementation of the Python language

PyPy is a fast, compliant alternative implementation of the Python language. It supports most of the commonly used Python standard library modules. Its feature include Just-in-Time compiler, Less memory usage, support Stackless and lot more. PyPy focuses on speed, efficiency and 100% compatibility with the original CPython interpreter. It was conceived as an implementation of Python written in Python, which enables Python developers to hack the implementation.

IronPython - Python programming language for the .NET Framework

IronPython is an open-source implementation of the Python programming language which is tightly integrated with the .NET Framework. IronPython can use the .NET Framework and Python libraries, and other .NET languages can use Python code just as easily. It supports an interactive console with fully dynamic compilation.

Go - Programming Language from Google

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

Julia - Language for Technical Computing

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. This computation is automatically distributed across all available compute nodes, and the result, reduced by summation (+), is returned at the calling node.