# Simple Markdown ## Bayes' theorem $$ P(A\mid B) = \frac{P(B \mid A) \\; P(A)}{P(B)} $$

# Slides are separated by three dashes --- ## First Slide 1 --- ## Second Slide 2 --- ## Third Slide 3

# Using spaces and dashes _Slides are separated by newline + three dashes + newline, vertical slides identical but two dashes_ --- ## First - main Slide 1.1 -- ## First - auxiliary Slide 1.2 --- ## Second Slide 2

# No slide splitting _Since there are no separators defined, dashes will become horizontal rulers_ --- A --- B --- C

<!-- .slide: data-background="#FFDEE9" --> # Setting slide background --- <!-- .slide: data-background="linear-gradient(0deg, #FFDEE9 0%, #B5FFFC 100%)" --> ## Slide background

# Setting element attributes --- ## Element attributes - Item 1 <!-- .element: class="fragment" data-fragment-index="2" --> - Item 2 <!-- .element: class="fragment" data-fragment-index="1" -->

# Presenting code --- ## Introduction to Python **Print 10 Fibonacci numbers (basic)** ```python [1|2|3|4|5|6|7|8|9] a = 0 b = 1 print(a) print(b) for k in range(2, 10): c = a + b a = b # 'a' becomes 'b' b = c # and 'b' becomes 'c' print(b) ```