funmath | : umbrella : Implementations of mathematical functions | Math library

by mingrammer Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | funmath Summary

funmath is a Python library typically used in Utilities, Math, Example Codes applications. funmath has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However funmath build file is not available. You can download it from GitHub.

:umbrella: Implementations of mathematical functions, formulas and concepts

Support

Quality

Security

License

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Support

funmath has a low active ecosystem.

It has 93 star(s) with 7 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of funmath is current.

Quality

funmath has 0 bugs and 0 code smells.

Security

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

funmath code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

funmath is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

funmath has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed funmath and discovered the below as its top functions. This is intended to give you an instant insight into funmath implemented functionality, and help decide if they suit your requirements.

Return the tan of x
Return the sin of a quadrant
Return the cosine of x
Return the quadrant of a given number
Calculate the lcm distance between a and b
Return the Euclidean distance between a and b
Return the absolute value of x
Compute the Euclidean distance between two integers
Return the greatest common divisor

Get all kandi verified functions for this library.

funmath Key Features

No Key Features are available at this moment for funmath.

funmath Examples and Code Snippets

No Code Snippets are available at this moment for funmath.

Community Discussions

Trending Discussions on funmath

How to ensure all JS files are loaded before executing a task when including JS files with javascript

QUESTION

How to ensure all JS files are loaded before executing a task when including JS files with javascript

Asked 2018-Jun-11 at 18:49

I have a js file with following code which is included in the head section of all my html pages.

...

ANSWER

Answered 2018-Jun-11 at 18:49

There is an event load that is triggered once your

Source https://stackoverflow.com/questions/50804006

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install funmath

You can download it from GitHub.
You can use funmath like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

You can implement any sort of algorithms for mathematical things. If you add new kind of algorithms, please also add that in README as new category. If you want to add other programming language version of existing solutions, you must name the source code file as same to existing one. It is better to provide the explains of your algorithms in comments of source code files.You can use any programming languages you are preferring, but you SHOULD take care of handling large numbers. And if you want to contribute the algorithms with Python, you SHOULD write the scripts with Python 3.6+.You MUST have to write the test codes for each algorithms. See the example for writing the tests (the example is written in Python)It is not recommended to use the builtin math libraries as possible. Because this repository encourages that implement the mathematical things by ourselves.It is better to provide the optimal solutions as well for each algorithms.

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