first commit

Author: Kevin

.github/workflows/ci.yml

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+name: CI
+
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.8, 3.9, "3.10"]
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r requirements.txt
+          pip install pytest pytest-cov black pylint
+      - name: Run tests
+        run: |
+          pytest tests/ --cov=src/ --cov-report=xml
+      - name: Check code formatting
+        run: |
+          black --check src/ tests/
+      - name: Lint code
+        run: |
+          pylint src/ tests/

.gitignore

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+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Jupyter Notebook
+.ipynb_checkpoints
+*/.ipynb_checkpoints/*
+
+# VS Code
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+
+# Environment
+.env
+.venv
+env/
+venv/
+ENV/
+
+# Data
+data/
+*.csv
+*.parquet
+*.h5
+*.pkl
+
+# Logs
+*.log
+logs/
+
+# Cache
+.cache/
+.pytest_cache/
+.coverage
+htmlcov/
+
+# OS
+.DS_Store
+Thumbs.db

.vscode/settings.json

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+{
+    "python.linting.enabled": true,
+    "python.linting.pylintEnabled": true,
+    "python.formatting.provider": "black",
+    "editor.formatOnSave": true,
+    "python.testing.pytestEnabled": true,
+    "python.testing.unittestEnabled": false,
+    "python.testing.nosetestsEnabled": false,
+    "python.testing.pytestArgs": [
+        "tests"
+    ],
+    "jupyter.notebookFileRoot": "${workspaceFolder}",
+    "python.analysis.typeCheckingMode": "basic"
+}

README.md

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+# GPU-Accelerated Data Science with Python
+
+This repository contains examples of how to accelerate common Python data science libraries using NVIDIA GPUs. Each notebook demonstrates a different library and shows how to enable GPU acceleration with minimal code changes.
+
+## Prerequisites
+
+- NVIDIA GPU with CUDA support
+- Python 3.8+
+- CUDA Toolkit 11.x or later
+- Required Python packages (see `requirements.txt`)
+
+## Installation
+
+1. Create a virtual environment:
+```bash
+python -m venv venv
+source venv/bin/activate  # On Windows: venv\Scripts\activate
+```
+
+2. Install dependencies:
+```bash
+pip install -r requirements.txt --extra-index-url https://pypi.nvidia.com
+```
+
+## Examples
+
+1. [pandas_acceleration.ipynb](notebooks/pandas_acceleration.ipynb) - Accelerate pandas with cuDF
+2. [polars_acceleration.ipynb](notebooks/polars_acceleration.ipynb) - GPU acceleration in Polars
+3. [sklearn_acceleration.ipynb](notebooks/sklearn_acceleration.ipynb) - scikit-learn acceleration with cuML
+4. [xgboost_acceleration.ipynb](notebooks/xgboost_acceleration.ipynb) - XGBoost on GPU
+5. [umap_acceleration.ipynb](notebooks/umap_acceleration.ipynb) - Fast UMAP with cuML
+6. [hdbscan_acceleration.ipynb](notebooks/hdbscan_acceleration.ipynb) - HDBSCAN clustering on GPU
+7. [networkx_acceleration.ipynb](notebooks/networkx_acceleration.ipynb) - NetworkX with cuGraph
+
+Each notebook contains:
+- Setup instructions
+- Example code
+- Performance comparisons
+- Sample datasets
+
+## Usage
+
+Launch Jupyter Lab to explore the notebooks:
+```bash
+jupyter lab
+```