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version-control.Rmd

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@@ -34,7 +34,7 @@ By the end of the chapter, readers will be able to:
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- Describe what version control is and why data analysis projects can benefit from it
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- Create a remote version control repository on GitHub
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- use Jupyter's Git version control tools for project versioning and collaboration:
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- clone a remote version control repository to a local computer
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- clone a remote version control repository to create a local repository
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- commit changes to a local version control repository
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- push local changes to a remote version control repository
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- pull changes from a remote version control repository to a local version control repository
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we create two copies of the repository (Figure \@ref(fig:vc1-no-changes)).
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One copy we use as our primary workspace where we create, edit, and delete files.
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This copy is commonly referred to as the **local repository**. The local
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copy most commonly exists on our local computer or laptop, but can also exist within
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repository most commonly exists on our computer or laptop, but can also exist within
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a workspace on a server (e.g., JupyterHub).
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The other copy is typically stored in a repository hosting service (e.g., GitHub), where
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we can easily share it with our collaborators.
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to share them with you. When they push their changes, those changes will only initially exist in
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the remote GitHub repository and not in your local repository (Figure \@ref(fig:vc2-changes)).
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```{r vc6-remote-changes, fig.cap = 'Changes pushed by collaborators, or created directly on GitHub will not be automatically sent to your local computer.', fig.retina = 2}
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```{r vc6-remote-changes, fig.cap = 'Changes pushed by collaborators, or created directly on GitHub will not be automatically sent to your local repository.', fig.retina = 2}
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image_read("img/vc6-remote-changes.png") %>%
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image_crop("3632x2000")
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```

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