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  2. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Comma-separated values (CSV) RFC author: Yakov Shafranovich — Myriad informal variants RFC 4180 (among others) No Yes No No No No Common Data Representation (CDR) Object Management Group — Yes General Inter-ORB Protocol: Yes No Yes Yes Ada, C, C++, Java, Cobol, Lisp, Python, Ruby, Smalltalk — D-Bus Message Protocol freedesktop.org — Yes ...

  3. Protocol Buffers - Wikipedia

    en.wikipedia.org/wiki/Protocol_Buffers

    Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.

  4. YAML - Wikipedia

    en.wikipedia.org/wiki/YAML

    YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).

  5. Eclipse (software) - Wikipedia

    en.wikipedia.org/wiki/Eclipse_(software)

    In addition to allowing the Eclipse Platform to be extended using other programming languages, such as C and Python, the plug-in framework allows the Eclipse Platform to work with typesetting languages like LaTeX [86] and networking applications such as telnet and database management systems.

  6. PyDev - Wikipedia

    en.wikipedia.org/wiki/PyDev

    The campaign also funded Zadrozny's creation of LiClipse, a paid closed source fork of Eclipse which bundles PyDev by default. [ 5 ] PyDev received improvements to type inference and a notable increase in contributions to code base when version 2.8 was released in July 2013. [ 6 ]

  7. NumPy - Wikipedia

    en.wikipedia.org/wiki/NumPy

    NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]

  8. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  9. Comparison of programming languages (array) - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_programming...

    The following list contains syntax examples of how a range of element of an array can be accessed. In the following table: first – the index of the first element in the slice