data-engineering-challenge | Thank you for your interest in Novoic

by novoic Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | data-engineering-challenge Summary

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

Thank you for your interest in Novoic. This take-home exercise is a way for us to evaluate some of the hands-on skills which we believe are important for success in this role. It should also give you an idea of the kinds of issues that we face on a daily basis, and give you a snapshot of the tasks that you might be working on at Novoic. This open-ended test should take you roughly 3 hours to complete, but feel free to use more or less.

Support

Quality

Security

License

Reuse

Support

data-engineering-challenge has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

data-engineering-challenge has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of data-engineering-challenge is current.

Quality

data-engineering-challenge has no bugs reported.

Security

data-engineering-challenge has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

data-engineering-challenge does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

data-engineering-challenge 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 are not available. Examples and code snippets are available.

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data-engineering-challenge Key Features

No Key Features are available at this moment for data-engineering-challenge.

data-engineering-challenge Examples and Code Snippets

No Code Snippets are available at this moment for data-engineering-challenge.

Community Discussions

No Community Discussions are available at this moment for data-engineering-challenge.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install data-engineering-challenge

You can download it from GitHub.
You can use data-engineering-challenge 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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