[ban265] cleaned up skelly

Dockerfile

-FROM quay.io/jupyter/datascience-notebook:2024-01-15
+FROM python:3.12.1-bullseye
 
+WORKDIR /src
+
+COPY requirements.txt ./
+RUN pip install --no-cache-dir --upgrade -r requirements.txt
+
+COPY / ./
+
+ENTRYPOINT ["python", "main.py"]
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Makefile

+DOCKER_BASE_CMD := docker run --rm -it -w /src \
+	-v $(PWD):/src
+
+.PHONY: build
+build:
+	docker build -f Dockerfile  -t ban265 .
+
+.PHONY: exec
+exec:
+	$(DOCKER_BASE_CMD) \
+		--entrypoint /bin/bash \
+		ban265
+
+.PHONY: run
+run:
+	$(DOCKER_BASE_CMD) \
+		ban265
+
+.PHONY: fmt
+fmt:
+	$(DOCKER_BASE_CMD) \
+		--entrypoint /bin/bash \
+		ban265 \
+		-c 'black .'
+
+.PHONY: jupyter
+jupyter:
+	docker run -it --rm \
+	-p 8888:8888 \
+	-v "${PWD}":/home/jovyan/work \
+	quay.io/jupyter/datascience-notebook:2024-01-15
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README.md

-# Quick Start
-```
-docker run -it --rm -p 8888:8888 -v "${PWD}":/home/jovyan/work quay.io/jupyter/datascience-notebook:2024-01-15
-```
+# Installation
+1. Start Docker
+2. Clone the repository to your local machine
 
+## Usage
+1. Navigate to the project directory
+2. Run the following commands
+    ```
+    make build
+    make run
+    ```
 
-# Source Stack
-https://jupyter-docker-stacks.readthedocs.io/en/latest/index.html
+## Exec
+1. Navigate to the project directory
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+2. Run the following commands
+    ```
+    make exec
+    ```
+
+## Format
+1. Navigate to the project directory
+2. Run the following commands
+    ```
+    make fmt
+    ```
+
+## Usage jupyter
+This is an alternative data analytics tool
+1. Navigate to the project directory
+2. Run the following commands
+    ```
+    make jupyter
+    ```
+
+## Cited Source
+1. https://jupyter-docker-stacks.readthedocs.io/en/latest/index.html
+2. https://pandas.pydata.org/docs/
+3. https://numpy.org/doc/stable/
+4. https://matplotlib.org/stable/index.html
+5. https://scikit-learn.org/stable/user_guide.html
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hw2.ipynb

-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3e220b9e-90bc-45d9-9894-93e20fd3bff2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print('Hello World')"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

main.py

+import numpy as np
+import pandas as pd
+
+s = pd.Series(np.random.randn(5), index=["a", "b", "c", "d", "e"])
+
+print(s)

requirements.txt

+black==24.1.1
+matplotlib==3.8.2
+numpy==1.26.3
+pandas==2.2.0
+scikit-learn==1.4.0
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