Join Charles Kelly for an in-depth discussion in this video Markdown, part of NumPy Data Science Essential Training.
- [Instructor] Markdown is a light-weight markup language.…If you'd like information about Markdown,…you can go to the creation site, Daring Fireball.…A very useful Cheatsheet is located at this URL.…GitHub is an active promoter of Markdown.…You can find information at this URL.…And finally, this is a PDF version…of the same information at GitHub.…I'll discuss some of the interesting features of Markdown.…
The first is headers.…As you can see here, if you use one circumflex,…or one hashtag marker,…this is equivalent to creating an h1 tag…that's a major level heading.…Two hashtags, five or six hashtags, same technique.…If I press Shift Enter…in this cell…nothing is executed.…The reason for this is if we go into the cell,…you'll see that it's a Raw cell.…
This is the syntax for creating an Unordered List.…You can use a dash followed by the item name…for each item in the list.…For example, File, Cell, Help.…For some items, you indent, use another dash and again,…select the names for each subitem less name.…Let's see what this looks like when it's executed.…
- Using Jupyter Notebook
- Creating NumPy arrays from Python structures
- Slicing arrays
- Using Boolean masking and broadcasting techniques
- Plotting in Jupyter notebooks
- Joining and splitting arrays
- Rearranging array elements
- Creating universal functions
- Finding patterns
- Building magic squares and magic cubes with NumPy and Python
Skill Level Intermediate
2. Create NumPy Arrays
3. Index, Slice, and Iterate
4. Plots: Matplotlib and Pyplot
5. Manipulate Arrays
6. Short Examples
7. Extended Examples
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