Typos

book/features/release_book_online.md

@@ -117,7 +117,7 @@ To create this behavior, do the following:
 - Set `PRIMARY_BRANCH` to `release`
 - Set `BEHAVIOR_PRIMARY` to `copy`
 
-Note that in this situation we strongly recommend using the Draft-Release workflow that is incorporated in the TeachBooks Python package, which allows you to restrict specific content from appearing in the `release` book that is already incorporated in the `draft` book. [Find out more here](./draft-release.html). This is useful, for example, if you would like to review many chapters, but release only one at a time, or use a banner in the draft book (e.g., via `_config.yml`) but not the released book.
+Note that in this situation we strongly recommend using the Draft-Release workflow that is incorporated in the TeachBooks Python package, which allows you to restrict specific content from appearing in the `release` book that is already incorporated in the `draft` book. [Find out more here](./draft-release.md). This is useful, for example, if you would like to review many chapters, but release only one at a time, or use a banner in the draft book (e.g., via `_config.yml`) but not the released book.
 
 #### Why make the draft branch default?
 
@@ -210,7 +210,7 @@ Once created during a successful build action, an existing cached environment wi
 
 Note that any change to the `requirements.txt` file will trigger creation of a new environment, not necessarily one that specifies the version number of a package.
 
-Note that Specifying package version numbers explicitly and updating them via [Dependabot](./update_env.html) is an excellent way to ensure that environments in the DBW are always up to date and this issue is avoided.
+Note that Specifying package version numbers explicitly and updating them via [Dependabot](./update_env.md) is an excellent way to ensure that environments in the DBW are always up to date and this issue is avoided.
 
 If you are _not_ using Dependabot and are not able to get your packages updated when the DBW is running, delete the cache manually and rerun your GitHub Actions job (go to Actions tab, then looking for the "Caches" section under the "Management" pane on the left hand side of the screen).
 
@@ -235,4 +235,4 @@ Unlike the virtual environments (next subsection), caches of the book build do n
 
 ### Effect of Caching on Virtual Environment
 
-In particular, note that older branches may have been built with cached environments that are different than those in a newer branch, leading to (undesired) differences in book appearance or functionality---often without the author being aware! This occurs if a package in `requirements.txt` is updated in the time between the creation of environments on different branches, as `pip` will use the newest version when downloading a package (the first time a venv cache is created in the DBW), but it will not always automatically update a package if `pip install -r requirements.txt` is used on an existing environment (this happens every time an existing cache is used!). This means that, when compared to the venv on a newer branch, a frequently used branch (where the cache has not expired) may retain old and out of date packages long after an updated version is available; however, since the week number is included in the venv file hash, this will last for a maximum of 1 week. A best practice to avoid this situation is to pin version numbers explicitly (e.g., `teachbooks==0.2.0`) if you want book builds to remain consistent. In addition, a feature like dependabot can be used to automatically notify you when an update is made; this is [here](./update_env.html).
+In particular, note that older branches may have been built with cached environments that are different than those in a newer branch, leading to (undesired) differences in book appearance or functionality---often without the author being aware! This occurs if a package in `requirements.txt` is updated in the time between the creation of environments on different branches, as `pip` will use the newest version when downloading a package (the first time a venv cache is created in the DBW), but it will not always automatically update a package if `pip install -r requirements.txt` is used on an existing environment (this happens every time an existing cache is used!). This means that, when compared to the venv on a newer branch, a frequently used branch (where the cache has not expired) may retain old and out of date packages long after an updated version is available; however, since the week number is included in the venv file hash, this will last for a maximum of 1 week. A best practice to avoid this situation is to pin version numbers explicitly (e.g., `teachbooks==0.2.0`) if you want book builds to remain consistent. In addition, a feature like dependabot can be used to automatically notify you when an update is made; this is [here](./update_env.md).