What are Jupyter Notebooks and how are they used in data science?

What are Jupyter Notebooks and how are they used in data science?

Jupyter Notebooks are interactive web applications that allow you to create and share documents containing live code, equations, visualizations, and narrative text. They are widely used in data science for data cleaning, transformation, visualization, and machine learning.

What programming languages can I use in Jupyter Notebooks?

Jupyter Notebooks primarily support Python, but you can also use R, Julia, and many other languages through the use of kernels.

Can you give me an example of a data science project using Jupyter Notebooks?

Sure! A common project is analyzing a dataset using Pandas for data manipulation, Matplotlib for visualization, and Scikit-learn for building machine learning models, all within a Jupyter Notebook.

How do I install Jupyter Notebooks?

You can install Jupyter Notebooks using pip. Just run pip install notebook in your command line, and then start it with jupyter notebook.