Charles Kelly explains command cells and edit cells with Jupyter notebooks.
- [Instructor] As you can see,…when you launch a Jupyter notebook,…the Jupyter server will open a new tab…in your default browser.…If you'd like additional information…about notebook basics, you can navigate to this URL.…The dashboard for Jupyter notebooks…is located on the page that was open…when you launched the Jupyter server.…It serves as a homepage, or a landing page,…for controlling notebooks.…This is the starting point for opening existing notebooks…or creating new notebooks.…You can open a notebook by clicking on a link…and then clicking on the page that you want to open.…
The dashboard also contains tools for stopping notebooks…that are running and deleting notebooks…that are no longer needed.…You can do this by using the check boxes…along the left-hand column.…You can create a new notebook…by selecting the dropdown…on the right-hand side of the page…and select python root.…Once you've done this, a new notebook will be open.…The name for this notebook will be Untitled…plus a numeric designation,…in this case Untitled1.…
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots
Skill Level Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL: Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
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