What is pyforest in Python?

What is pyforest and why we need it?

While developing Machine Learning algorithms or performing data analysis or data visualization, we usually spend a lot of time importing the required packages. This soon becomes a waste of time, fortunately, there is the pyforest package.

The pyforest package is an open-source module that helps us automatically import the packages required for Data Science analysis jobs and building Machine Learning algorithms.

Let’s first install the package by running:

pip install pyforest

If you are using Jupyter notebook, you need to install an extension that automatically adds the required import statements depending on the packages used in the program. For example, if the code includes df = pd.read_csv('file.csv'), the extension will automatically add the import statement, import pandas as pd, on the first line of your jupyter notebook.:

python -m pyforest install_extensions

Note: Not all packages will be imported automatically. If you use certain packages (like numpy, pandas, matplotlib, seaborn, etc.) pyforest will only import the used libraries.

Let’s see what libraries pyforest can automatically import for us:

Explanation:

• In line 1, we import the required package.
• In line 2, we print all of the imports that pyforest can do automatically.

And that is how it’s done. Now, we don’t need to worry about these import statements as pyforest can import almost all of the popular packages required for our Data Analysis and Machine Learning tasks.