index.md

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#Data Carpentry {{ info.topic }} for {{ info.domain }}

Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The lessons below were designed for those interested in working with {{info.domain %}} data in {{info.topic %}}.

Content Contributors: {{info.contributors | join: ', ' %}}

Lesson Maintainers: {{info.maintainers | join: ', ' %}}

####Lesson status: {{ info.status }}

Lessons:

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1. [{{ lesson.name }}]({{ lesson.url }})

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Data

Data files for the workshop are available at: ({{info.dataurl %}})[{{info.dataurl %}}]

Requirements

Data Carpentry's teaching is hands-on, so participants are encouraged to use their own computers to insure the proper setup of tools for an efficient workflow. These lessons assume no prior knowledge of the skills or tools, but working through this lesson requires working copies of the software described below. To most effectively use these materials, please make sure to install everything before working through this lesson.

{% if info.topic == "Python" %} {% include pythonSetup.html %} {% elsif info.topic == "Spreadsheets" %} {% include spreadsheetSetup.html %} {% else %} {% include anySetup.html %} {% endif %}

Twitter: @datacarpentry

{% endfor %}