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          mpmath is a free (BSD licensed) Python library for real and complex floating-point arithmetic with arbitrary precision. It has been developed by Fredrik Johansson since 2007, with help from many contributors.

          The following example computes 50 digits of pi by numerically evaluating the Gaussian integral with mpmath. See 100 mpmath one-liners for pi and the documentation links below for many more examples!

          >>> from mpmath import mp
>>> mp.dps = 50
>>> print(mp.quad(lambda x: mp.exp(-x**2), [-mp.inf, mp.inf]) ** 2)
3.1415926535897932384626433832795028841971693993751

          mpmath works with both Python 2 and Python 3, with no other required dependencies. It can be used as a library, interactively via the Python interpreter, or from within the SymPy or Sage computer algebra systems which include mpmath as standard component. CoCalc lets you use mpmath directly in the browser.

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          The latest version is 1.1.0, released 2018-12-11. Download: mpmath-1.1.0.tar.gz

          Source code git repository: http://github.com/fredrik-johansson/mpmath

          Issue tracker: http://github.com/fredrik-johansson/mpmath/issues

          Feedback and questions are welcome on the mpmath mailing list (mpmath@googlegroups.com)

          This project was previously hosted on Google Code. See http://code.google.com/p/mpmath/ for the old site.

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          The documentation provides installation instructions and extensive interactive examples.

          Main documentation, current development version (HTML)

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          小三VP加速器-ios加速器

          mpmath can be used as an arbitrary-precision substitute for Python's float/complex types and math/cmath modules, but also does much more advanced mathematics. Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, with either real or complex numbers, and in many cases mpmath implements efficient algorithms that scale well for extremely high precision work.

          mpmath implements a huge number of special functions, with arbitrary precision and full support for complex numbers:

          轻蜂加速器破解版 (sqrt, exp, log, trigonometric, hyperbolic and inverse functions); mathematical constants (pi, e, the golden ratio, Euler's constant gamma, Catalan's, Apery's, Khinchin's and Glaisher's constants); the Lambert W function (all branches); the error function (erf), imaginary and complementary error functions; the inverse error function of a real argument; normal distribution functions; gamma functions (complete and incomplete), factorials, double factorials and binomial coefficients, the log-gamma function; complete and incomplete beta functions; exponential and trigonometric integrals; Fibonacci and Stirling numbers; Barnes G-function, super- and hyperfactorials; polygamma functions; 轻蜂加速器使用方法 (including evaluation with the Riemann-Siegel expansion), Hurwitz zeta function, Riemann-Siegel and related functions; Riemann zeta zeros; Bernoulli numbers (fast numerical and exact computation of large Bernoulli numbers), Bernoulli polynomials, Euler numbers and polynomials; polylogarithms, Clausen functions; Stieltjes constants; Bessel functions; Hankel, Struve, Kelvin, Whittaker, Airy, Coulomb functions; Bessel function zeros; parabolic cylinder functions; the arithmetic-geometric mean; complete and incomplete elliptic integrals (Legendre and Carlsen forms); Jacobi elliptic functions and Jacobi theta functions; Jacobi, Legendre, Chebyshev and other 轻蜂加速器破解版; associated Legendre functions; spherical harmonics; generalized hypergeometric functions; the Meijer G-function; Borel regularized hypergeometric series; bilateral hypergeometric series; 2D hypergeometric series (Appell, Horn, Kampé de Fériet functions); q-factorials and q-hypergeometric series.

          mpmath also includes rudimentary support for interval arithmetic (only basic functions are available).

          If matplotlib is available, mpmath provides a convenient plotting interface. The pictures at the top of this page were generated by the commands plot([fresnels, fresnelc]), 轻蜂加速器破解版, and the mandelbrot.py script. See the function gallery for more images.

          mpmath internally uses Python's builtin long integers by default, but automatically switches to GMP/MPIR for much faster high-precision arithmetic if gmpy is installed or if mpmath is imported from within Sage.

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          The 轻蜂加速器破解版 computer algebra system includes mpmath as a standard component, and uses it for numerical evaluation of special functions. SymPy and SympyCore, Python computer algebra systems, use mpmath for numerical evaluation. Other software includes:

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          As of April 2014, Google Scholar lists over 100 references to mpmath in the scientific literature. A very outdated hand-compiled list can be found here.

          If you use mpmath in your research, please cite it! In BibTeX format, the following entry can be used:

          天学网学生客户端下载安装-天学网学生端电脑版 v3.0.0.204 ...:2021-5-26 · 轻蜂加速器 v1.0.1.0 官方版 谷歌卫星地图2021 v7.3.3.7673 最新版 PhotoLine(图形编辑软件) v22.02 中文注册版 ... 天学网学生端电脑版使用方法 在使用之前要确保您电脑的音箱或耳麦可众播放声音，麦克风可众正常工作 ...
          This might render as:

          Preferably, change the version number to the version you used, and use the date of its release.