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  2. Comparison of data-serialization formats - Wikipedia

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

    This is a comparison of data serialization formats, various ways to convert complex objects to sequences of bits. ... Pickle (Python) N. I01\n. I00\n. I685230\n.

  3. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  4. Zope Object Database - Wikipedia

    en.wikipedia.org/wiki/Zope_Object_Database

    ZODB stores Python objects using an extended version of Python's built-in object persistence (pickle). A ZODB database has a single root object (normally a dictionary), which is the only object directly made accessible by the database. All other objects stored in the database are reached through the root object.

  5. List of file signatures - Wikipedia

    en.wikipedia.org/wiki/List_of_file_signatures

    Slob (sorted list of blobs) is a read-only, compressed data store with dictionary-like interface [92] AC ED: ’: 0 Serialized Java Data [93] 43 72 65 61 74 69 76 65 20 56 6F 69 63 65 20 46 69 6C 65 1A 1A 00: Creative Voice File 0 voc Creative Voice file: 2E 73 6E 64.snd: 0 au snd Au audio file format: DB 0A CE 00: 0

  6. FlatBuffers - Wikipedia

    en.wikipedia.org/wiki/FlatBuffers

    This makes accessing data in these formats much faster than data in formats requiring more extensive processing, such as JSON, CSV, and in many cases Protocol Buffers. Compared to other serialization formats however, the handling of FlatBuffers requires usually more code, and some operations are not possible (like some mutation operations).

  7. Talk:Pickle (Python) - Wikipedia

    en.wikipedia.org/wiki/Talk:Pickle_(Python)

    The concept dates back at least to Herlihy and Liskov's 1982 TOPLaS A value transmission method for abstract data types about CLU. The term itself was allegedly coined in Birrell, et. al.'s 1987 A simple and efficient implementation of a small database , although the application of the term to a programming language implementation may originate ...

  8. Pickle Lovers, Pucker Up: These Snacks Are Simply Dill-icious

    www.aol.com/lifestyle/pickle-lovers-pucker...

    Grab sour yet sweet snacks like pickle Sour Punch bites or even pickle flavored cotton candy. They're absolutely dill-icious! They're absolutely dill-icious! After you eat, you can even wash it ...

  9. Hierarchical Data Format - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_Data_Format

    Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.