datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
This package helps to setup your Data Science environment in single line.
Developed by Ashish Patel(c) 2020.
datascienv is a python package offering a single line Data Science Environment setup.
datascienv
is tested to work under Python 3.7+ and greater. The dependency requirements are based on the datascienv
package update release:
pandas
(latest) - https://pandas.pydata.org/
numpy
(latest) - https://numpy.org/install/
scipy
(latest) - https://www.scipy.org/
scikit-learn
(latest) - https://scikit-learn.org/
joblib
(latest) - https://joblib.readthedocs.io/en/latest/
statmodels
(latest) - https://www.statsmodels.org/stable/index.html
matplotlib
(latest) - https://matplotlib.org/
seaborn
(latest) - https://seaborn.pydata.org/
xgboost
(latest) - https://xgboost.ai/sponsors
imbalanced-learn
(latest) - https://imbalanced-learn.org/
bokeh
(latest) - https://docs.bokeh.org/en/latest/
Boruta
(latest) - https://github.com/scikit-learn-contrib/boruta_py
jupyter
(latest) - https://jupyter.org/
spyder
(latest) - https://www.spyder-ide.org/
mlxtend
(latest) - http://rasbt.github.io/mlxtend/
lightgbm
(lightgbm) - https://lightgbm.readthedocs.io/en/latest/
catboost
(latest) - https://catboost.ai/
pycaret
(latest) - https://pycaret.org/
tensorflow(latest)
- https://www.tensorflow.org/tutorials
flask(latest)
- https://flask.palletsprojects.com/en/2.0.x/
fastapi(latest)
- https://fastapi.tiangolo.com/tutorial/
kats(latest)
- https://facebookresearch.github.io/Kats/
keras(latest)
- https://keras.io/examples/
pip install -U datascienv
git clone https://github.com/ashishpatel26/datascienv.git
cd datascienv
pip install .
pip install -U git+https://github.com/ashishpatel26/datascienv.git