Jupyter Notebook Essentials

Install Jupyter Notebook on a Mac using Anaconda, download the Apple Silicon version, launch the Anaconda Navigator, start the Jupyter Notebook server on port 8888, and create a notebook.

Compare Python, IPython, and Jupyter Notebook by running simple print statements and basic math across environments, highlighting prompts, execution, and the richer coding experience.

Explore how Jupyter Notebook uses your working directory, launch methods from Anaconda Navigator or terminal, and how to customize paths with the notebook directory option for project folders.

Explore the Jupyter Notebook interface, learn to work with code and markdown cells, and master run, restart kernel, and notebook editing for data science.

Master code cells in a Jupyter notebook by adding, moving, duplicating, deleting, and splitting, and manage execution order while running code with the kernel.

Explore advanced Jupyter Notebook features, including using NumPy and pandas to create and display data frames, generate charts with matplotlib, read CSV files, and manage kernels and outputs.

Master markdown cells in a fresh Jupyter notebook, converting code to markdown to render paragraphs, headers, bold and italic text, lists, images, links, and iframes.

Learn to use keyboard shortcuts in Jupyter notebooks, view all shortcuts via help, and master common commands like restarting the kernel, switching cells, and adjusting markdown header sizes.

Master Jupyter notebook magic commands to write and append to files, display contents with cat, and render markdown, html, and javascript cells; explore ls magic for available commands.

Make a sine wave plot interactive with widgets in notebooks, adjusting the number of data points via text boxes and sliders for interactive visualization.