If you're using the terminal, I recommend using IPython, as it has a lot of features to make interactive use easier and it's the basis for using Python in Jupyter.

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Employ data manipulation libraries like pandas in Python or dplyr in R to preprocess and clean large datasets before visualization. Consider using data streaming techniques for real-time data ...