Makefile

@@ -14,10 +14,6 @@ data: ## Create dataset
 help: ## Show all available commands
 	@awk 'BEGIN {FS = ":.*##"; printf "Usage: make \033[36m<target>\033[0m\n"} /^[a-zA-Z_-]+:.*?##/ { printf "  \033[36m%-36s\033[0m %s\n", $$1, $$2 } /^##@/ { printf "\n\033[1m%s\033[0m\n", substr($$0, 5) } ' $(MAKEFILE_LIST);
 
-.PHONY: install
-install: ## Install dependencies
-	@poetry install --no-interaction
-
 .PHONY: run
 run: ## Run the Docker image
 	@docker run --rm -it -p "8888:8888" ds-interview jupyter lab --collaborative --no-browser --allow-root --ip "0.0.0.0" --ServerApp.allow_remote_access true --config Xfrozen_modules=off

README.md

@@ -3,13 +3,10 @@
 ## Requirements
 
 - Python 3.11 (you can change this in the `pyproject.toml` file)
-- [Poetry](https://python-poetry.org/)
 - [Docker](https://www.docker.com/)
 - [Ngrok](https://ngrok.com/)
 - [GNU Make](https://www.gnu.org/software/make/)
 
-I recommend using [asdf](https://asdf-vm.com/) to manage your Python versions and Poetry installation.
-
 ## Usage
 
 ### Get Setup
@@ -17,14 +14,14 @@ I recommend using [asdf](https://asdf-vm.com/) to manage your Python versions an
 Create your local environment with
 
 ```shell
-make install
+poetry install
 ```
 
 Ensure you have created and validated your account with [Ngrok](https://ngrok.com/).
 
 ### Make you Dataset
 
-`src/interview/data.py` contains an example function to build the classic [Iris dataset](https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html). You can extend this as you see fit to create one or more custom datasets relevant to your business. There is a Poetry script to run the `make_data` function and build the dataset, which you can run with:
+`src/interview/data.py` contains an example function to build the classic [Iris dataset](https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html). You can build this with
 
 ```shell
 make data