UFRJ_Python_101 | Exercicios da Aula de Computação 1 da UFRJ

 by   fit087 Python Version: Current License: No License

kandi X-RAY | UFRJ_Python_101 Summary

kandi X-RAY | UFRJ_Python_101 Summary

UFRJ_Python_101 is a Python library. UFRJ_Python_101 has no bugs, it has no vulnerabilities and it has low support. However UFRJ_Python_101 build file is not available. You can download it from GitHub.

Exercicios da Aula de Computação 1 da UFRJ
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            kandi-support Support

              UFRJ_Python_101 has a low active ecosystem.
              It has 4 star(s) with 3 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of UFRJ_Python_101 is current.

            kandi-Quality Quality

              UFRJ_Python_101 has no bugs reported.

            kandi-Security Security

              UFRJ_Python_101 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              UFRJ_Python_101 does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              UFRJ_Python_101 releases are not available. You will need to build from source code and install.
              UFRJ_Python_101 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 UFRJ_Python_101 and discovered the below as its top functions. This is intended to give you an instant insight into UFRJ_Python_101 implemented functionality, and help decide if they suit your requirements.
            • Compute the upper mean of a list of qualifs
            • Get all the elements in decrement list
            • Sort a list
            • Equivalent to a conta
            • Returns all the elements in decrement list
            • Checks if numero is prime
            • Generate Dado count
            • Grain game
            • Change all letters in phrase
            • Return the position of the first occurrence of a character
            • Retorna para una
            • Sort a lista
            • Computes the discriminator coefficient
            • Sort a list
            • Encontrar
            • Generate Fibonacci term
            • Retir aravra
            • Transpose a matrix
            • Returns the number of branches of taxa
            • Return a list of roman numbers
            • Insert a word into the phrase
            • Find the number of a given number
            • Algo a lista
            Get all kandi verified functions for this library.

            UFRJ_Python_101 Key Features

            No Key Features are available at this moment for UFRJ_Python_101.

            UFRJ_Python_101 Examples and Code Snippets

            No Code Snippets are available at this moment for UFRJ_Python_101.

            Community Discussions

            No Community Discussions are available at this moment for UFRJ_Python_101.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install UFRJ_Python_101

            You can download it from GitHub.
            You can use UFRJ_Python_101 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.

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            https://github.com/fit087/UFRJ_Python_101.git

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            gh repo clone fit087/UFRJ_Python_101

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            git@github.com:fit087/UFRJ_Python_101.git

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