Charles Kelly explains the Markdown markup language within Jupyter notebooks.
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- Markdown is a lightweight markup language that is…useful for providing narrative information within notebooks.…Narrative information is similar to providing comments…in an integrated development environment, or an IDE.…You can find additional information about markdown…by navigating to any of these links.…Let's create a new cell, by placing you cursor…in the cell that starts "this is an H1 tag".…Type escape A, for escape above.…
This creates a new cell above the existing cell.…Navigate to the toolbar and look at this drop down.…If you click on it, it indicates that you can create…a cell as a code cell, a markdown cell,…a Raw NBConvert cell or a heading cell.…The default is code cells.…Let's delete this cell by typing escape D D.…If you return to the cell…that starts with "this is an H1 tag",…you'll see that it is a Raw NBConvert cell.…
I use this format, so that I could demonstrate to you…the markdown language for example the hash codes and…the dashes that are used within cells to format markdown.…To execute these cells you'll need…
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
Introduction to Data Analysis with Pythonwith Michele Vallisneri2h 16m Intermediate
NumPy Data Science Essential Trainingwith Charles Kelly3h 54m Intermediate
SQL for Data Reporting and Analysiswith Emma Saunders2h 16m Intermediate
1. Introduction to Notebooks
2. Pandas Overview
4. Data Frames and Panels
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