login_exercise | User login and register

 by   zhangliang852469 Python Version: Current License: No License

kandi X-RAY | login_exercise Summary

kandi X-RAY | login_exercise Summary

login_exercise is a Python library. login_exercise has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

User login and register
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    Quality
      Security
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            kandi-support Support

              login_exercise has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              login_exercise has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of login_exercise is current.

            kandi-Quality Quality

              login_exercise has 0 bugs and 0 code smells.

            kandi-Security Security

              login_exercise has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              login_exercise code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              login_exercise 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

              login_exercise releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              It has 7888 lines of code, 10 functions and 30 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed login_exercise and discovered the below as its top functions. This is intended to give you an instant insight into login_exercise implemented functionality, and help decide if they suit your requirements.
            • Handle registration .
            • Login .
            • Register user confirmation .
            • Sends an email .
            • Create a confirmation string .
            • Logs out user .
            • Hash a string
            • String name .
            Get all kandi verified functions for this library.

            login_exercise Key Features

            No Key Features are available at this moment for login_exercise.

            login_exercise Examples and Code Snippets

            No Code Snippets are available at this moment for login_exercise.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install login_exercise

            You can download it from GitHub.
            You can use login_exercise 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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            CLONE
          • HTTPS

            https://github.com/zhangliang852469/login_exercise.git

          • CLI

            gh repo clone zhangliang852469/login_exercise

          • sshUrl

            git@github.com:zhangliang852469/login_exercise.git

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