Update tech_docs/linux/conda_install.md

tech_docs/linux/conda_install.md

@@ -82,13 +82,78 @@ c.ServerApp.open_browser = False
 jupyter lab password
 ```
 
-## Step 10: Save the environment configuration
+Sure! Here's a refactored version of the section on saving and using the environment configuration:
 
-```bash
-conda env export > environment.yml
-```
+## Step 10: Save and Use the Environment Configuration
 
-This command saves the current environment's configuration, including the installed packages and their versions, to a file named `environment.yml`.
+### A. Export the Environment Configuration
+
+1. Activate your Conda environment:
+   ```bash
+   conda activate myenv
+   ```
+
+2. Export the current environment's configuration to a file named `environment.yml`:
+   ```bash
+   conda env export > environment.yml
+   ```
+
+   This command saves the list of packages and their versions to the `environment.yml` file in the current directory.
+
+3. Verify that the `environment.yml` file was created:
+   ```bash
+   ls
+   cat environment.yml
+   ```
+
+   The `ls` command lists the files in the current directory, and `cat` displays the contents of the `environment.yml` file.
+
+### B. Create a New Environment Using the `environment.yml` File
+
+1. To create a new environment using the `environment.yml` file, use the following command:
+   ```bash
+   conda env create -f environment.yml
+   ```
+
+   This command creates a new Conda environment with the same name as specified in the `environment.yml` file and installs all the packages listed in the file.
+
+2. Activate the newly created environment:
+   ```bash
+   conda activate myenv
+   ```
+
+### C. Update an Existing Environment Using the `environment.yml` File
+
+1. To update an existing environment to match the specifications in the `environment.yml` file, use the `--prune` option:
+   ```bash
+   conda env update --file environment.yml --prune
+   ```
+
+   This command updates the existing environment, removing any packages that are not listed in the `environment.yml` file.
+
+### D. Share and Version Control the `environment.yml` File
+
+1. Store the `environment.yml` file in a GitHub repository along with your project files to version control your environment and make it easily accessible to others.
+
+2. To recreate the environment on another machine or in a different location, navigate to the directory containing the `environment.yml` file and run the `conda env create` command as shown in Step B.
+
+### E. Deactivate and Remove an Environment
+
+1. To deactivate the current environment and return to the base environment, use the following command:
+   ```bash
+   conda deactivate
+   ```
+
+2. To remove an environment and all its packages, use the following command:
+   ```bash
+   conda env remove --name myenv
+   ```
+
+   Replace `myenv` with the name of the environment you want to remove.
+
+By following these steps, you can easily export, create, update, share, and remove Conda environments using the `environment.yml` file. This file serves as a blueprint for your environment, ensuring reproducibility and portability across different machines and users.
+
+Remember to replace `myenv` with the actual name of your environment throughout the process.
 
 ## Step 11: Start JupyterLab