Atomify | Converts email to Atom | Email library

 by   Arachnid Python Version: Current License: No License

kandi X-RAY | Atomify Summary

kandi X-RAY | Atomify Summary

Atomify is a Python library typically used in Messaging, Email applications. Atomify has no bugs, it has no vulnerabilities and it has low support. However Atomify build file is not available. You can download it from GitHub.

Converts email to Atom
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            kandi-support Support

              Atomify has a low active ecosystem.
              It has 14 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Atomify has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Atomify is current.

            kandi-Quality Quality

              Atomify has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Atomify 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

              Atomify releases are not available. You will need to build from source code and install.
              Atomify has no build file. You will be need to create the build yourself to build the component from source.
              Atomify saves you 119 person hours of effort in developing the same functionality from scratch.
              It has 300 lines of code, 22 functions and 8 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Atomify and discovered the below as its top functions. This is intended to give you an instant insight into Atomify implemented functionality, and help decide if they suit your requirements.
            • Create a new atom feed
            • Render a template
            • Create a random mapping
            • Render a feed
            • Show aliases
            Get all kandi verified functions for this library.

            Atomify Key Features

            No Key Features are available at this moment for Atomify.

            Atomify Examples and Code Snippets

            No Code Snippets are available at this moment for Atomify.

            Community Discussions

            QUESTION

            Combining two functions in LISP to atomize list and then find max?
            Asked 2017-Nov-14 at 14:34

            So, id like to take in a list of numbers, atomize it (to remove nested integers), then find the max value. I have two functions written that accomplish this individually, but can't figure out how to combine them in LISP so I can make one call and have them both run. Any help would be appreciated.

            ...

            ANSWER

            Answered 2017-Nov-14 at 12:53

            Jamie. Your way has two steps: 1. Flatten list 2. Find max value from result of 1'st step In this case it's true way. But you need do it with one function call. It's easy. Just use labels, apply and of course max

            Source https://stackoverflow.com/questions/47279741

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

            Vulnerabilities

            No vulnerabilities reported

            Install Atomify

            You can download it from GitHub.
            You can use Atomify 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/Arachnid/Atomify.git

          • CLI

            gh repo clone Arachnid/Atomify

          • sshUrl

            git@github.com:Arachnid/Atomify.git

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