Update python-environment-workflow.md rename repo

Author: valentina-s

docs/python-environment-workflow.md

@@ -4,7 +4,7 @@
 First, we will run a basic workflow which creates a python environment with a few scientific packages and prints out their version.
 
 Python Environment Workflow Configuration:
-[`.github/workflows/python_env.yml`](https://github.com/uwescience/SciPy2024-GitHubActionsTutorial/blob/main/.github/workflows/python_env.yml)
+[`.github/workflows/python_env.yml`](https://github.com/uwescience/GitHubActionsTutorial-USRSE24/blob/main/.github/workflows/python_env.yml)
 
 
 * Go to **Actions** tab
@@ -14,12 +14,12 @@ Python Environment Workflow Configuration:
 
 
 ### Exercise: 
-Edit [`.github/workflows/python_env.yml`](https://github.com/uwescience/SciPy2024-GitHubActionsTutorial/blob/main/.github/workflows/python_env.yml) to install packages popular in your research. Trigger the workflow to monitor their installation.
+Edit [`.github/workflows/python_env.yml`](https://github.com/uwescience/GitHubActionsTutorial-USRSE24/blob/main/.github/workflows/python_env.yml) to install packages popular in your research. Trigger the workflow to monitor their installation.
 
 
 ## Installing Packages with Conda
 We can also install packages through conda (instead of `pip`). We will use a `miniconda-setup` action to achieve that easily.
 
 
-Conda Environment Workflow Configuration [`.github/workflows/conda_env.yml`](https://github.com/uwescience/SciPy2024-GitHubActionsTutorial/blob/main/.github/workflows/conda_env.yml)
+Conda Environment Workflow Configuration [`.github/workflows/conda_env.yml`](https://github.com/uwescience/GitHubActionsTutorial-USRSE24/blob/main/.github/workflows/conda_env.yml)