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Update introduction.rst

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@ -7,6 +7,8 @@ At the moment, mobile data can be collected using different sensing frameworks (
We recommend reading Snakemake_ docs, but the main idea behind the pipeline is that every link in the analysis chain is a rule with an input and an output. Input and output are files, which can be manipulated using any programming language (although Snakemake_ has wrappers for Julia_, Python_, and R_ that can make development slightly more comfortable). Snakemake_ also allows the pipeline rules to be executed in parallel on multiple cores without any code changes. This can drastically reduce the time needed to complete an analysis. We recommend reading Snakemake_ docs, but the main idea behind the pipeline is that every link in the analysis chain is a rule with an input and an output. Input and output are files, which can be manipulated using any programming language (although Snakemake_ has wrappers for Julia_, Python_, and R_ that can make development slightly more comfortable). Snakemake_ also allows the pipeline rules to be executed in parallel on multiple cores without any code changes. This can drastically reduce the time needed to complete an analysis.
Do you want to keep up to date with new functionality or have a question? Join the #rapids channel in AWARE Framework's slack_
Available features: Available features:
- :ref:`accelerometer-sensor-doc` - :ref:`accelerometer-sensor-doc`
@ -39,3 +41,4 @@ We are updating these docs constantly, but if you think something needs clarific
.. _Fitbit: https://www.fitbit.com/us/home .. _Fitbit: https://www.fitbit.com/us/home
.. _Python: https://www.python.org/ .. _Python: https://www.python.org/
.. _Julia: https://julialang.org/ .. _Julia: https://julialang.org/
.. _slack: http://awareframework.com:3000/