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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.
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.
Valgrind is an award-winning instrumentation framework for building dynamic analysis tools. There are Valgrind tools that can automatically detect many memory management and threading bugs, and profile your programs in detail. You can also use Valgrind to build new tools.
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.
Emmet (formerly Zen Coding) is a web-developer’s toolkit that can greatly improve your HTML & CSS workflow. With Emmet, you can type CSS-like expressions that can be dynamically parsed, and produce output depending on what you type in the abbreviation. Emmet is developed and optimised for web-developers whose workflow depends on HTML/XML and CSS, but can be used with programming languages too.
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.
IronPython is a implementation of the Python programming language on the .NET Framework. It supports an interactive interpreter with fully dynamic compilation. It is well integrated with the rest of the framework, making all .NET libraries easily available to a Python program.
The Semantic Vectors package uses a Random Projection algorithm, a form of automatic semantic analysis. Other methods supported by the package include Latent Semantic Analysis (LSA) and Reflective Random Indexing. Latent Semantic Analysis (LSA) is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. This library is used in semantic analysis and text mining.