This Markdown was written for Python however it will work with R as well (Only Markdown)
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Welcome to Python Workshop
Before moving to python part, we will see very brief capabilities of jupyter markdown
In markdown # is used to define header, so single # will be first level header, ## will be second level header and so on. This text is written in third level header
You can change the cell type from above dropdown from markdown to code for writing python code
Alternative headings with ==
Emphasis, aka italics, with asterisks or underscores.
Strong emphasis, aka bold, with asterisks or underscores.
Combined emphasis with asterisks and underscores.
Strikethrough uses two tildes. Scratch this.
Underline text with HTML u tag
Lists
- unordered item 1
- unordered item 2
- unordered subitem 1
- unordered subitem 2
- unordered item 3
- ordered item 1
- ordered item 2
- ordered sub item 1
- ordered item 2
- ordered item 3
LaTex
- Add:
- \(x + y\)
- Subtract:
- \(x - y\)
- Multiply
- \(x * y\)
- \(x \times y\)
- \(x . y\)
- Divide
- \(x / y\)
- \(x \div y\)
- \(\frac{x}{y}\)
- Relations
- \(\pi \approx 3.14159\)
- \({1 \over 0} \neq \inf\)
- \(0 < x > 1\)
- \(0 \leq x \geq 1\)
- Fractions
- \(^1/_2\)
- \(\frac{1}{2x}\)
- \({3 \over 4}\)
Power & Index
Let’s get summary of cars data set in R
summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
Let’s plot now
plot(cars)
