Learn Jupyter Notebooks for Beginners

Install the Anaconda distribution to get Python 3.9, essential data science packages like pandas, numpy, matplotlib, scikit-learn, and IDEs such as Jupyter notebook and Jupyter lab.

Learn Google Colab basics, sign in with Gmail, open notebooks from Drive or GitHub, work with text and code cells, and download as ipynb or py.

Explore replit, an online coding platform: sign up, create a ripple, choose a language like Python, run code in the browser, and share projects without setup.

Learn how Jupyter Notebook, an open source web app that runs in your browser, lets you write code, equations, text, and visualizations in one notebook.

Open jupyter notebook via anaconda prompts or terminal, set a desktop folder, launch with jupyter notebook, then access the notebook in your browser and explore libraries like numpy and pandas.

Learn to use two modes in Jupyter notebooks—edit mode (green pencil) for writing and command mode (blue) for moving or deleting cells, switched by the escape key.

Master variable autocomplete in Jupyter notebooks and understand the order of operations and code cell execution, including how variables print and overwrite across cells.

Explore the Jupyter notebook menus, learn how to rename, run, and save cells, manage files and checkpoints, switch kernels, and export notebooks for easy workflow.

Learn what markdown is, a markup language used by developers, data scientists, and analysts, similar to HTML, and how to use it in Jupyter notebooks to organize content and comments.

Discover how to create six levels of markdown headings in Jupyter notebooks by using hashes and a space after the hash, forming a professional, organized thesis or report document.

Learn how to create markdown blockquotes in Jupyter Notebook using the greater-than sign. Add quotes or insights alongside charts and visualizations.

Write math symbols in Markdown inside Jupyter Notebook using inline syntax with dollar signs and backslashes; practice sum, star, for all, and mu symbols with copy-and-paste references.

Learn to insert line breaks in markdown within a Jupyter Notebook by using shift enter, formatting sentences on separate lines and organizing insights.

Learn how to format bold text in Jupyter notebooks using Markdown with star or underscore, how to run cells, and how to combine bold and regular text to highlight insights.

Use markdown to create italic text with a single star or underscore. Compare with bold using double stars or double underscores, and insert line breaks with br to structure content.

Learn to insert a horizontal line in a Jupyter notebook using markdown to divide sections, such as exploratory data analysis and model building.

Learn to write an ordered list in markdown using the proper syntax, with a sample of Python and Julia.

Learn to create unordered and ordered lists in markdown within Jupyter notebooks, using dash, star, or bullet notation to organize content effectively.

Learn to create internal links in Jupyter notebooks by adding anchors with ids and linking to them in markdown, enabling quick jumps and a built-in table of contents.

Insert an external link in a Jupyter notebook using Markdown with href and anchor text. Click the link to navigate to the website.

Learn to add images in a Jupyter notebook using two methods: insert image via markdown or use an img tag with width and height controls.

Learn how to embed a video in a Jupyter notebook using markdown, specifying the video source, controls, width, and height to display a test video from the notebook folder.