ds_test_project | Testing the Equinor data science template

 by   niclasko Python Version: Current License: Unlicense

kandi X-RAY | ds_test_project Summary

kandi X-RAY | ds_test_project Summary

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

Testing the Equinor data science template :-)
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              ds_test_project has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              ds_test_project has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ds_test_project is current.

            kandi-Quality Quality

              ds_test_project has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ds_test_project is licensed under the Unlicense License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              ds_test_project 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.
              Installation instructions, examples and code snippets are available.

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            ds_test_project Key Features

            No Key Features are available at this moment for ds_test_project.

            ds_test_project Examples and Code Snippets

            No Code Snippets are available at this moment for ds_test_project.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install ds_test_project

            This git repository contains only this template which is a starting point for your own work. You will need to create your own project specific repository to which you should copy the contents of this template. You can do this manually by download a zipped copy of the files using the "Clone or download" button or with the following commands (substitute myproject with the name of your project and REMOTE-REPOSITORY-URL with the remote repository url).
            Update this readme file to describe your project including setup, configuration and usage. You might also delete this Getting Started section once you have considered the steps below
            If using Travis for CI then modify .travis.yml as needed, if not then delete this file / replace with another for e.g. Jenkins.
            Change or delete the LICENSE file if your terms are different.
            Modify conda_env.yml with a project specific name
            Create a requirements.txt file for any non Conda packages.
            Rename src\examplepackage to something more relevant to your project (e.g. src<projectname>). This will also require corresponding changes in: tests\test_examplepackage_examplemodule.py - import statement notebooks\example.ipynb - import statement setup.py - packages list
            Install git and checkout the [git code repository]. Install anaconda python version 3.6+. Change working directory into the git code repository root.
            Install git and checkout the [git code repository]
            Install anaconda python version 3.6+
            Change working directory into the git code repository root
            Create the self contained conda environment. In a terminal go to the git code repository root and enter the command: conda env create --file conda_env.yml
            Any python modules under src need to be available to other scripts. This can be done in a couple of ways. You can setup and install the python modules by executing the setup.py command below which will install the packages to the conda environments site-packages folder but with a symlink to the src folder so modifications are reflected immediately. python setup.py develop As an alternative you may prefer to set the python path directly from the console, within notebooks, test scripts etc. From Pycharm you can also right click the src folder and select the Mark Directory As | Source Root option.
            .. Place your own project specific setup steps here e.g. copying data files ...

            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/niclasko/ds_test_project.git

          • CLI

            gh repo clone niclasko/ds_test_project

          • sshUrl

            git@github.com:niclasko/ds_test_project.git

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