Python PyForest

PyForest is a Python library that automates imports for data science and machine learning projects. PyForest allows you to use your favorite Python commands without writing import statements. PyForest will automatically import the necessary modules for you and add the import statements to the first cell of your Jupyter notebook.

PyForest comes with a set of pre-defined imports for common data science and machine learning tasks. For example, it already includes pandas as pd, numpy as np, seaborn as sns, matplotlib.pyplot as plt, OneHotEncoder from sklearn and many more. You can see an overview of all currently available imports here: 

https://github.com/8080labs/pyforest/blob/master/src/pyforest/_imports.py

To use PyForest in your Jupyter notebook, you need to install it first using pip:
 
pip install pyforest

Then you need to install its Jupyter extension:

jupyter nbextension enable --py pyforest --sys-prefix

After that, you can use PyForest in your notebook like this:

# No need to write any import statements

# Read a CSV file with pandas
df = pd.read_csv("titanic.csv")

# Plot a histogram with seaborn
sns.histplot(df["Age"])

# Train a random forest classifier with sklearn
rf = RandomForestClassifier()
rf.fit(X_train, y_train)

# Show the active imports
active_imports()

This will output something like this:

import pandas as pd
import seaborn as sns
from sklearn.ensemble import RandomForestClassifier

I hope this helps you understand how to use PyForest in Python. Do you have any questions or feedback?

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