Quotient is the ultimate open-source discord bot designed to empower E sports communities
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Updated
Sep 10, 2024 - Python
Quotient is the ultimate open-source discord bot designed to empower E sports communities
Tool for calculating PDFs, CDFs and credible intervals of the quotient of beta distributed random variables
Implement polynomial arithmetic using double liked list. The polynomial has add, subtract, product, quotient, and remainder methods.
Create an iterator which computes the angle in the plane (in radians) between the positive x-axis and the ray from (0,0) to the point (x,y).
Compute the angle in the plane (in radians) between the positive x-axis and the ray from (0,0) to the point (x,y).
Divide elements of a strided array `x` by the corresponding elements of a strided array `y` and assign the results to elements in a strided array `w`.
This repository contains the code for Client-Side app of Quotient's web dashboard, which is being developed to replace the old frontend in the future.
Compute the angle in the plane (in degrees) between the positive x-axis and the ray from (0,0) to the point (x,y).
Divide elements of a one-dimensional single-precision floating-point ndarray by the corresponding elements of a second one-dimensional single-precision floating-point ndarray and assign the results to the second ndarray.
Compute the angle in the plane (in radians) between the positive x-axis and the ray from (0,0) to the point (x,y) as a single-precision floating-point number.
Compute the angle in the plane (in degrees) between the positive x-axis and the ray from (0,0) to the point (x,y).
Divide elements of a single-precision floating-point strided array `x` by the corresponding elements of a single-precision floating-point strided array `y` and assign the results to `y`.
Divide elements of a strided array `x` by the corresponding elements of a strided array `y` and assign the results to `y`.
Divide elements of a one-dimensional double-precision floating-point ndarray by the corresponding elements of a second one-dimensional double-precision floating-point ndarray and assign the results to the second ndarray.
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