Merge pull request #1 from Sanofi-Public/dev_readme_improvements

Update README.md

GETTING_STARTED.md

@@ -4,9 +4,9 @@ When you're ready to run and monitor a job in EMR, you may encounter various sce
 
 
 ## Scenario 1: Main Script Contains Pure PySpark Code and Is Standalone
-### Recommendation
- - There's no need to build the dependency package (library package or Python module package) using the `package-dependencies` command.
- - Simply submit the job using the `run` command.
+> [!TIP]
+> - There's no need to build the dependency package (library package or Python module package) using the `package-dependencies` command.
+> - Simply submit the job using the `run` command.
 
 Example `emr_job.py` script:
 ```python
@@ -92,9 +92,13 @@ print(emr_job_id)
 ```
 
 ## Scenario 2: Main Script depends on external libraries not installed in EMR and is Standalone
-### Recommendation
-- Build the dependency package (that only includes library package) using `package-dependencies` command
-- Simply submit the job via `run` command
+
+> [!NOTE]
+> EMR only supports core libraries: [emr-release](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-app-versions-6.x.html). If you have external libraries required for your script, this is the scenario for you.
+
+> [!TIP]
+> * Build the dependency package (that only includes library package) using `package-dependencies` command. 
+> * Simply submit the job via `run` command
 
 
 ```python
@@ -220,9 +224,9 @@ print(emr_job_id)
 ```
 ## Scenario 3: Main Script is not standalone. Moreover, it requires dependent Python modules from the project, such as src/utils, logging.yaml, config, etc. These additional dependencies are in the project.
 
-### Recommendation
-- Build the dependency package (that only includes project package) using `package-dependencies` command
-- Simply submit the job via `run` command
+> [!TIP]
+> - Build the dependency package (that only includes project package) using `package-dependencies` command
+> - Simply submit the job via `run` command
 
 ```python
 # main.py
@@ -333,9 +337,12 @@ print(emr_job_id)
 ```
 ## Scenario 4: The Main Script is not standalone. Additionally, it requires both Python modules and Python libraries in EMR
 
-### Recommendation
-- Build the dependency package (includes both project and library) using `package-dependencies` command
-- Simply submit the job via `run` command
+> [!NOTE]
+> EMR only supports core libraries: [emr-release](https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-release-app-versions-6.x.html). If you have external libraries required for your script, this is the scenario for you.
+
+> [!TIP]
+> - Build the dependency package (includes both project and library) using `package-dependencies` command
+> - Simply submit the job via `run` command
 
 ```python
 # main.py

README.md

@@ -1,18 +1,18 @@
-# EMRFLOW :cyclone:
+# EMRFlow :cyclone:
 
 
-<span style="color:purple;">**EMRFLOW** </span> is designed to simplify the process of running PySpark jobs on Amazon EMR (Elastic Map Reduce). It abstracts the complexities of interacting with EMR APIs and provides an intuitive command-line interface to effortlessly submit, monitor, and list your EMR PySpark jobs.
+<span style="color:purple;">**EMRFlow** </span> is designed to simplify the process of running PySpark jobs on [Amazon EMR](https://aws.amazon.com/emr/) (Elastic Map Reduce). It abstracts the complexities of interacting with EMR APIs and provides an intuitive command-line interface and python library to effortlessly submit, monitor, and list your EMR PySpark jobs.
 
-<span style="color:purple;">**EMRFLOW** </span> serves as both a library and a command-line tool.
+<span style="color:purple;">**EMRFlow** </span> serves as both a library and a command-line tool.
 
-To install `EMRFLOW`, please run:
+To install `EMRFlow`, please run:
 
 ```bash
 pip install emrflow
 ```
 ## Configuration
 
-Create an `emr_serverless_config.json` file containing the specified details and store it in your workbench's home directory
+Create an `emr_serverless_config.json` file containing the specified details and store it in your home directory
 ```json
 {
  "application_id": "",
@@ -22,8 +22,9 @@ Create an `emr_serverless_config.json` file containing the specified details and
 ```
 
 ## Usage
+Please read the [GETTING STARTED](GETTING_STARTED.md) to integrate <span style="color:purple;">**EMRFlow** </span> into your project.
 
-<span style="color:purple;">**EMRFLOW** </span> offers several commands to manage your Pypark jobs. Let's explore some of the key functionalities:
+<span style="color:purple;">**EMRFlow** </span> offers several commands to manage your Pypark jobs. Let's explore some key functionalities:
 
 
 ### Help
@@ -34,18 +35,21 @@ emrflow serverless --help
 
 
 ### Package Dependencies
+
+You will need to package dependencies before running an EMR job if you have external libraries needing to be installed or local imports from your code base. See Scenario 2-4 in [GETTING STARTED](GETTING_STARTED.md).
 ```bash
 emrflow serverless package-dependencies --help
 ```
 ![Serverless Options](images/emr-serverless-package-dependencies-help.png)
 
+
+
+
+### Submit PySpark Job
 ```bash
 emrflow serverless run --help
 ```
 ![Serverless Options](images/emr-serverless-run-help.png)
-
-
-### Submit PySpark Job
 ```bash
 emrflow serverless run \
  --job-name "<job-name>" \
@@ -105,15 +109,13 @@ emr_job_id = emr_serverless.run(
 print(emr_job_id)
 ```
 
-Please read the [GETTING STARTED](GETTING_STARTED.md) to integrated <span style="color:purple;">**EMRFLOW** </span> into your project
-
 
 **And so much more.......!!!**
 
 
 ## Contributing
 
-We welcome contributions to EMRFLOW. Please open issue and discussing the change you would like to see. Creating a feature branch to work on that issue.
+We welcome contributions to EMRFlow. Please open an issue discussing the change you would like to see. Create a feature branch to work on that issue and open a Pull Request once it is ready for review.
 
 ### Code style