pi | hot com-pi-lerThis project is compiler

by 2016rshah C Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | pi Summary

pi is a C library. pi has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

π : a hot com-pi-ler

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Support

pi has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 11 have been closed. On average issues are closed in 3 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pi is current.

Quality

pi has no bugs reported.

Security

pi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pi does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pi releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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pi Key Features

No Key Features are available at this moment for pi.

pi Examples and Code Snippets

Returns a string representation of the Pi .

python

Lines of Code : 51

License : Permissive (MIT License)

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def pi(precision: int) -> str:
    """
    The Chudnovsky algorithm is a fast method for calculating the digits of PI,
    based on Ramanujan’s PI formulae.

    https://en.wikipedia.org/wiki/Chudnovsky_algorithm

    PI = constant_term / ((multin

Estimate the pi .

python

Lines of Code : 33

License : Permissive (MIT License)

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def estimate_pi(number_of_simulations: int) -> float:
    """
    Generates an estimate of the mathematical constant PI.
    See https://en.wikipedia.org/wiki/Monte_Carlo_method#Overview

    The estimate is generated by Monte Carlo simulations. L

Estimate the pi function using the given radius .

python

Lines of Code : 23

License : Permissive (MIT License)

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def pi_estimator_using_area_under_curve(iterations: int) -> None:
    """
    Area under curve y = sqrt(4 - x^2) where x lies in 0 to 2 is equal to pi
    """

    def function_to_integrate(x: float) -> float:
        """
        Represents sem