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00-before-we-start.md: indent paragraphs that belong to a list (#472)
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@@ -43,20 +43,20 @@ mean it is easier for new members of the community to get up to speed.
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- **Reproducibility:**
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Reproducibility is the ability to obtain the same results using the same dataset(s) and analysis.
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Data analysis written as a Python script can be reproduced on any platform. Moreover, if you
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collect more or correct existing data, you can quickly re-run your analysis!
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Data analysis written as a Python script can be reproduced on any platform. Moreover, if you
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collect more or correct existing data, you can quickly re-run your analysis!
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An increasing number of journals and funding agencies expect analyses to be reproducible,
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so knowing Python will give you an edge with these requirements.
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An increasing number of journals and funding agencies expect analyses to be reproducible,
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so knowing Python will give you an edge with these requirements.
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- **Versatility:**
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Python is a versatile language that integrates with many existing applications to enable something
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completely amazing. For example, one can use Python to generate manuscripts, so that if you need to
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update your data, analysis procedure, or change something else, you can quickly regenerate all the
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figures and your manuscript will be updated automatically.
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Python can read text files, connect to databases, and many other data formats, on your computer or
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on the web.
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Python can read text files, connect to databases, and many other data formats, on your computer or
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on the web.
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- **Interdisciplinary and extensible:**
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Python provides a framework that allows anyone to combine approaches from different research
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4. Testing, validating, and adjusting implemented solution.
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While _"Programming"_ refers to all of the above steps,
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_"Coding"_ refers to step 3 only: _"Implementing the solution in a specific computer language"_. It's
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important to note that _"the best"_ computational solution must consider factors beyond the computer.
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_"Coding"_ refers to step 3 only: _"Implementing the solution in a specific computer language"_. It's
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important to note that _"the best"_ computational solution must consider factors beyond the computer.
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Who is using the program, what resources/funds does your team have for this project, and the available
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timeline all shape and mold what "best" may be.
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