m2py | Python tools for Physics , Engineering and Finance | Animation library

by caiorss Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | m2py Summary

m2py is a Python library typically used in User Interface, Animation applications. m2py has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However m2py build file is not available. You can download it from GitHub.

Python tools for Physics, Engineering and Finance based on Matlab and R language.

Support

Quality

Security

License

Reuse

Support

m2py has a low active ecosystem.

It has 9 star(s) with 2 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

m2py has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of m2py is current.

Quality

m2py has no bugs reported.

Security

m2py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

m2py is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

m2py releases are not available. You will need to build from source code and install.

m2py has no build file. You will be need to create the build yourself to build the component from source.

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

Top functions reviewed by kandi - BETA

kandi has reviewed m2py and discovered the below as its top functions. This is intended to give you an instant insight into m2py implemented functionality, and help decide if they suit your requirements.

Calculates the volatility for a given price
Apply a function to each element
Append a list of lists
Calculate the cash flow for a given price
R Return the region number for a given pressure
Convenience function to equation 1
Generic uno import
Create a getter for the given property
Calculates pv variances
Calculates the PV var for a given period
Creates a function that performs a vectorize operation
Compose a function
Scans the given object
Wrap a function into a list
Wrap a function into a vectorizer
Apply a function to a factor
Calculate the bond price between two dates
Compute cash flow
Finds the bissection between a and b
Calculate the xirr of a cash flow
Read a table from a file
Print a table of parameters
Starts steffenssen
Create a function that returns the value of the given property
Calculates the amort price for a given PV
Calculate the roots of a function
Test the roots of a function

Get all kandi verified functions for this library.

m2py Key Features

No Key Features are available at this moment for m2py.

m2py Examples and Code Snippets

No Code Snippets are available at this moment for m2py.

Community Discussions

Trending Discussions on m2py

Matlab to python conversion mslice[]

How to convert this Octave/Matlab code to Python 3.7.4?

QUESTION

Matlab to python conversion mslice[]

Asked 2021-Jan-07 at 23:54

The following is used in a Matlab code.

...

ANSWER

Answered 2021-Jan-07 at 23:54

Accessing arrays in python is done with square brackets i.e. Cf[i,j] and to iterate you can do it the same way as in matlab, however starts counting from 0 instead as 1, e.g. C[0:10,5]. And you also need to import the zeros function from numpy.

I guess what you want to do becomes then

Source https://stackoverflow.com/questions/65621525

QUESTION

How to convert this Octave/Matlab code to Python 3.7.4?

Asked 2020-Feb-17 at 10:30

I have some working Octave/Matlab code that I'm trying to get working / converted to Python 3.7.4, so I can use it in Blender 2.82 which uses Python 3.7.4.

The working Octave/Matlab code is:

...

ANSWER

Answered 2020-Feb-17 at 09:33

The given MATLAB/Octave code can be minimized (see also the comment on your previous question) to:

Source https://stackoverflow.com/questions/60245929

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

Vulnerabilities

No vulnerabilities reported

Install m2py

You can download it from GitHub.
You can use m2py 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

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: