Numerico | Soluções das listas de exercício de cálculo numérico

by caiomcg Python Version: Current License: No License

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kandi X-RAY | Numerico Summary

Numerico is a Python library. Numerico has no bugs, it has no vulnerabilities and it has low support. However Numerico build file is not available. You can download it from GitHub.

This repository contains the solutions for the exercise lists assigned during the Numerical Calculus course at UFPB - Federal University of Paraíba. Este repositório contém as soluções para a lista de exercícios designadas durante a disciplina de cálculo numérico da UFPB - Universidade Federal da Paraíba.

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Support

Numerico has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Numerico is current.

Quality

Numerico has no bugs reported.

Security

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

License

Numerico 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

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

Numerico 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.

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Numerico Key Features

No Key Features are available at this moment for Numerico.

Numerico Examples and Code Snippets

No Code Snippets are available at this moment for Numerico.

Community Discussions

No Community Discussions are available at this moment for Numerico.Refer to stack overflow page for discussions.

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Vulnerabilities

No vulnerabilities reported

Install Numerico

You can download it from GitHub.
You can use Numerico 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 .

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