https://github.com/kriss024/anaconda-python-for-data-science-basic
Anaconda Python 3.8.8 with TensorFlow 2 Docker image
https://github.com/kriss024/anaconda-python-for-data-science-basic
anaconda3 data-science docker jupyter-notebook machine-learning python python3 scikit-learn tensorflow2
Last synced: about 2 months ago
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Anaconda Python 3.8.8 with TensorFlow 2 Docker image
- Host: GitHub
- URL: https://github.com/kriss024/anaconda-python-for-data-science-basic
- Owner: kriss024
- Created: 2021-04-25T18:44:35.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-09-01T20:27:19.000Z (almost 5 years ago)
- Last Synced: 2025-01-25T00:19:35.992Z (over 1 year ago)
- Topics: anaconda3, data-science, docker, jupyter-notebook, machine-learning, python, python3, scikit-learn, tensorflow2
- Language: Dockerfile
- Homepage: https://hub.docker.com/r/kriss024/anaconda-python-for-data-science-basic
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Anaconda Python for Data Science - Basic setup
### Python 3.8.8 with TensorFlow 2, XGBoost, LightGBM, scikit-learn libraries
## How to Use this Image
To launch the container, run the following command:
in Windows:
```cmd
docker run -it --name python3-basic -p 8888:8888 -v C:\Work:/home/notebooks kriss024/anaconda-python-for-data-science-basic
```
in Windows WSL or Linux:
```bash
docker run -it --name python3-basic -p 8888:8888 -v "$PWD":/home/notebooks kriss024/anaconda-python-for-data-science-basic
```
After that you can start using the commands in container
## Content
- [x] Anaconda Python 3.8.8
- [x] Jupyter Notebook
- [x] Beautiful Soup
- [x] Bokeh
- [x] Dask
- [x] Flask
- [x] Keras
- [x] Hyperopt
- [x] NumPy
- [x] imageio
- [x] Openpyxl
- [x] Pandas
- [x] scikit-learn
- [x] SciPy
- [x] seaborn
- [x] Statsmodels
- [x] SQLAlchemy
- [x] TensorFlow 2
- [x] XGBoost
- [x] LightGBM