ds_efficient | Set of scripts to efficiently parse

by alexrutherford Python Version: Current License: No License

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kandi X-RAY | ds_efficient Summary

ds_efficient is a Python library. ds_efficient has no bugs, it has no vulnerabilities and it has low support. However ds_efficient build file is not available. You can download it from GitHub.

Set of python scripts to parse large DataSift streaming corpora including several sources. Example deployment at UN Global Pulse climate monitor. #Output Files process_ds_files.py produces a set of files for each corpora (in dataDirectory). make_plots.py produces all input plots for dashboard in png/mlpd3 format. get_top_tweets.py reads daily files from last N days and produces list of top tweets by ID ready for embedding. #Example Usage python process_ds_files.py data/ -C BR PT -c cities.csv.

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Support

ds_efficient has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

ds_efficient has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ds_efficient is current.

Quality

ds_efficient has no bugs reported.

Security

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

License

ds_efficient 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

ds_efficient releases are not available. You will need to build from source code and install.

ds_efficient has no build file. You will be need to create the build yourself to build the component from source.

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ds_efficient Key Features

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ds_efficient Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install ds_efficient

You can download it from GitHub.
You can use ds_efficient 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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