diff --git a/README.md b/README.md
index 0805de4..a24b0b1 100644
--- a/README.md
+++ b/README.md
@@ -13,6 +13,7 @@ Structure:
 To do:
 - [x] Made scripts for environment creation and deployment in the folder `local_scripts`
 - [x] Changed scripts to `deployment_scripts`
+- [x] Added step about sending python file
 
 ---
 
@@ -28,19 +29,19 @@ This repository looks at a deployment of a Dask cluster on Vulcan, and executing
 
 Before running the application, make sure you have the following prerequisites installed in a conda environment:
 - [Python 3.8.18](https://www.python.org/downloads/release/python-3818/): This specific python version is used for all uses, you can select it using while creating the conda environment. For more information on, look at the documentation for Conda on [HLRS HPC systems](https://kb.hlrs.de/platforms/index.php/How_to_move_local_conda_environments_to_the_clusters).
-- [Conda Installation](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html): Ensure that Conda is installed on your local system. Follow the [official Conda installation guide] if not already installed.
+- [Conda Installation](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html): Ensure that Conda is installed on your local system. For more information on, look at the documentation for Conda on [HLRS HPC systems](https://kb.hlrs.de/platforms/index.php/How_to_move_local_conda_environments_to_the_clusters).
 - [Dask](https://dask.org/): Install Dask using conda.
 - [Conda Pack](https://conda.github.io/conda-pack/): Conda pack is used to package the Conda environment into a single tarball. This is used to transfer the environment to Vulcan. 
 
 ## Getting Started
 
-1. Clone this repository to your local machine:
+1. Clone [this repository](https://code.hlrs.de/hpcrsaxe/spark_template) to your local machine:
 
    ```bash
    git clone <repository_url>
    ```
 
-2. Create an environment using Conda and enirvonment.yaml:
+2. Go into the direcotry and create an environment using Conda and enirvonment.yaml. Note: Be sure to add the necessary packages in environemnt.yaml:
 
    ```bash
    ./deployment_scripts/create-env.sh <your-env>
@@ -52,19 +53,25 @@ Before running the application, make sure you have the following prerequisites i
    ./deployment_scripts/deploy-env.sh <your-env> <destination_host>:<destination_directory>
    ```
 
-4. SSH into Vulcan and start a job interatively using:
+4. Send all the code to the appropriate directory on Vulcan using `scp`:
+
+   ```bash
+   scp <your_script>.py <destination_host>:<destination_directory>
+   ```
+
+5. SSH into Vulcan and start a job interatively using:
 
    ```bash
    qsub -I -N DaskJob -l select=4:node_type=clx-21 -l walltime=02:00:00
    ```
 
-5. Go into the directory will all code:
+6. Go into the directory with all code:
 
    ```bash
    cd <destination_directory>
    ```
 
-6. Initialize the Dask cluster:
+7. Initialize the Dask cluster:
 
    ```bash
    source deploy-dask.sh "$(pwd)"
diff --git a/dask_test.ipynb b/notebooks/dask_test.ipynb
similarity index 100%
rename from dask_test.ipynb
rename to notebooks/dask_test.ipynb