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  • 1
    spyder

    spyder

    The scientific Python development environment

    Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package. Spyder’s multi-language Editor integrates a number of powerful tools...
    Downloads: 99 This Week
    Last Update:
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  • 2
    pydantic

    pydantic

    Data parsing and validation using Python type hints

    ...Strings, bytes or floats will be coerced to ints if possible; otherwise an exception will be raised. name is inferred as a string from the provided default; because it has a default, it is not required. signup_ts is a datetime field which is not required (and takes the value None if it's not supplied). pydantic will process either a unix timestamp int (e.g. 1496498400) or a string representing the date & time. friends uses python's typing system, and requires a list of integers. As with id, integer-like objects will be converted to integers.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Positron

    Positron

    Positron, a next-generation data science IDE

    Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding...
    Downloads: 0 This Week
    Last Update:
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  • 4

    PyCodebug

    Python script coding editor that debugs as you write

    Usually, coding a script involves writing the code and either debugging or running it several times, examining variables or output and fixing the code until the desired effect is achieved. With PyCodebug, you get to see the effects of the code during coding, which greatly reduces the time needed to write a script. ================================== Demo Video: http://youtu.be/a6nFo4y3kzo ================================== Requires: Python 2.7x PySide
    Downloads: 0 This Week
    Last Update:
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