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# IDEs | ||
.idea | ||
.vscode | ||
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## OS configs | ||
.DS_Store | ||
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# Python | ||
__pycache__ | ||
.ipynb_checkpoints | ||
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# Venv | ||
dvc-venv |
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# course-ds-base | ||
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Base repo for course "DVC tools for Data Scientists & Analysts" examples | ||
## Preparation | ||
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### 1. Fork / Clone this repository | ||
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```bash | ||
git clone https://gitlab.com/iterative.ai/cse/tutorials/course-ds-base.git | ||
cd course-ds-base | ||
``` | ||
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### 2. Create and activate virtual environment | ||
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Create virtual environment named `dvc-venv` (you may use other name) | ||
```bash | ||
python3 -m venv dvc-venv | ||
source dvc-venv/bin/activate | ||
``` | ||
Install python libraries | ||
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```bash | ||
pip install --upgrade pip setuptools wheel | ||
pip install -r requirements.txt | ||
``` | ||
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Add Virtual Environment to Jupyter Notebook | ||
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```bash | ||
python -m ipykernel install --user --name=dvc-venv | ||
``` | ||
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Configure ToC for jupyter notebook (optional) | ||
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```bash | ||
jupyter contrib nbextension install --user | ||
jupyter nbextension enable toc2/main | ||
``` | ||
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## 3. Run Jupyter Notebook | ||
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```bash | ||
jupyter notebook | ||
``` | ||
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dvc==2.6.4 | ||
joblib==1.0.1 | ||
jupyter==1.0.0 | ||
jupyter_contrib_nbextensions==0.5.1 | ||
matplotlib==3.4.3 | ||
numpy==1.21.2 | ||
pandas==1.3.2 | ||
pytest==6.2.4 | ||
python-box==5.4.1 | ||
pyyaml==5.4.1 | ||
scikit-learn==0.24.2 | ||
scipy==1.7.1 | ||
tqdm==4.62.2 |
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