apatite | Awesomer awesome list management and analysis | Awesome List library

 by   mahmoud Python Version: 20.0.1 License: GPL-3.0

kandi X-RAY | apatite Summary

kandi X-RAY | apatite Summary

apatite is a Python library typically used in Awesome, Awesome List applications. apatite has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install apatite' or download it from GitHub, PyPI.

A command-line application for curating structured lists of software projects.
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            kandi-support Support

              apatite has a low active ecosystem.
              It has 27 star(s) with 5 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 12 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of apatite is 20.0.1

            kandi-Quality Quality

              apatite has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              apatite is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              apatite releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can 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 apatite and discovered the below as its top functions. This is intended to give you an instant insight into apatite implemented functionality, and help decide if they suit your requirements.
            • Collect metrics for each project
            • Find all files in a directory
            • Find all metric modules
            • Return a list of required commands
            • Collect files from plist
            • Return the output of the rg_c command
            • Get information about package stacks
            • Determine the arch type
            • Render an APACL template
            • Normalize a plist
            • Get projects by type name
            • Normalize project list
            • Generate the list of projects added to the project
            • Update project list
            • Pulls a single repo from the project
            • Format a list
            • Pull one or more projects
            • Print the most recent metrics in the given directory
            • Ensure project listing exists
            • Parse a date parameter
            Get all kandi verified functions for this library.

            apatite Key Features

            No Key Features are available at this moment for apatite.

            apatite Examples and Code Snippets

            No Code Snippets are available at this moment for apatite.

            Community Discussions

            QUESTION

            Apply optim function on iteratively each row of dataframe
            Asked 2021-Apr-14 at 14:51

            I have a working optim function that works for a single row.

            The optim function estimates mineral proportions from chemical data by minimizing the residuals.

            I would like to apply the same function for each row in the dataframe (in reality there may be a large amount of rows).

            I've tried using rowwise from dplyr but it is not correct.

            Data:

            Dataframe below of ideal mineral compositions:

            ...

            ANSWER

            Answered 2021-Apr-14 at 14:51

            You can use the function purrr::map and iterate over the lines of Min_comp.

            results will be a list with the result for each line.

            Source https://stackoverflow.com/questions/67086609

            QUESTION

            one of Tab Bar Controllers linked to different views depend on user log in/out?
            Asked 2018-Apr-12 at 15:01

            I am a beginner in Swift and I created a project that has a Tab Bar, one of the items in the Tab Bar is called account, in this tab I first check if the user login or not and if not it should view the viewcontroller that contain join/login button as shown in this picture then when the user login it will show accountcontroller as shown in this picture

            I face a difficulty to show tab bar for two viewcontrollers even when I use a navigation controller :( I try to implement tab bar Programmatically as shown

            ...

            ANSWER

            Answered 2018-Apr-12 at 15:01

            I see a couple things going on here, some of which could participate in the crash you are seeing, but none are directly linked from what I can tell.

            1) Both your guard statements instantiate a VC from your storyboard, yet in the next line you actually replace those instantiations (which were successful, since it's a guard not an if) with "default" code instantiations, not what you want I don't think. I'd do this here:

            Source https://stackoverflow.com/questions/49614975

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

            Vulnerabilities

            No vulnerabilities reported

            Install apatite

            You can install using 'pip install apatite' or download it from GitHub, PyPI.
            You can use apatite 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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            Install
          • PyPI

            pip install apatite

          • CLONE
          • HTTPS

            https://github.com/mahmoud/apatite.git

          • CLI

            gh repo clone mahmoud/apatite

          • sshUrl

            git@github.com:mahmoud/apatite.git

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