Tagged Installation Instructions (#840)

* added tagged installation instructions

* updated dev docs - new release

README.md

@@ -83,14 +83,18 @@ After the Pixie Pipeline, the user can inspect and fine tune their results with
 
 #### Download the Repo
 
+We recommend using the latest release of `ark`. You can find all the versions available in the [Releases Section](https://github.com/angelolab/ark-analysis/releases).
 Open terminal and navigate to where you want the code stored. 
 
-Then input the command:
+Currently, the latest release is `v0.4.4`.
+Then install the latest release with:
 
 ```
-git clone https://github.com/angelolab/ark-analysis.git
+git clone https://github.com/angelolab/ark-analysis.git --depth 1 --branch v0.4.4
 ```
 
+You may also install previous releases by simply changing the version after the `--branch`.
+
 #### Setting up Docker
 
 There is a complementary [setup video](https://youtu.be/EXMGdi_Izdw).

docs/_rtd/development.md

@@ -196,9 +196,10 @@ next_release_vX.Y.Z
    1. If, in the release notes draft there are PRs that are not categorized, label them appropriately (usually based on the label of their respective Issue).
 2. Make sure that all tests pass for `Ark` on Travis-CI. 
 3. In the `ark-analysis/start_docker.sh` script, change the `VERSION` variable from `vA.B.C` to `vX.Y.Z`
-4. Modify the `.travis.yml` CI configuration script to allow `test_pypi_deploy` to run (comment the line `if: tag IS present`).
-5. Request a review and merge the `Ark` branch.
-6. Next head to the most recent Drafted Release Notes:
+4. In the [`REAMDME.md`](../../README.md#download-the-repo) adjust the `--branch` part of the `git clone` instruction to the new tag `v.X.Y.Z`.
+5. Modify the `.travis.yml` CI configuration script to allow `test_pypi_deploy` to run (comment the line `if: tag IS present`).
+6. Request a review and merge the `Ark` branch.
+7. Next head to the most recent Drafted Release Notes:
    1. Double check that the tag is the appropriate version name.
    2. Publish the Release.
    3. Next the `Ark` will be pushed to PyPI and the Docker Image will be built on Travis CI.