Showing 5 open source projects for "numpy python 3.12"

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  • 1
    orjson

    orjson

    Fast, correct Python JSON library supporting dataclasses, datetimes

    orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively. orjson supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12. It distributes amd64/x86_64, aarch64/armv8, arm7, POWER/ppc64le, and s390x wheels for Linux, amd64 and aarch64 wheels for macOS, and amd64 and i686/x86 wheels for Windows. orjson does not support PyPy. ...
    Downloads: 10 This Week
    Last Update:
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  • 2
    Awkward Array

    Awkward Array

    Manipulate JSON-like data with NumPy-like idioms

    Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms. Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they're not.
    Downloads: 0 This Week
    Last Update:
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  • 3
    lxml

    lxml

    The lxml XML toolkit for Python

    A Python library for efficient XML and HTML processing, known for speed and compatibility. The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python API, mostly compatible but superior to the well-known ElementTree API.
    Downloads: 25 This Week
    Last Update:
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  • 4
    pytablewriter

    pytablewriter

    pytablewriter is a Python library to write a table in various formats

    pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV / YAML.
    Downloads: 7 This Week
    Last Update:
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    Effortlessly Manage Product Information

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  • 5

    PySimpleTable

    Lightweight Python 2D table object with column headers

    For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects.
    Downloads: 0 This Week
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