2.7. Group Code Blocks into Tabs¶
Here is an example showing grouping code blocks into three tabs.
2.7.1. Example¶
Let’s implement \(a+b\). We first show instructions, then demonstrate the codes.
You need to have python installed
a = [1,1,1]
b = [2,2,2]
[ia+ib for ia, ib in zip(a,b)]
[3, 3, 3]
You can install numpy by
pip install numpy
import numpy as np
a = np.ones(3)
b = np.ones(3)*2
a + b
array([3., 3., 3.])
Please install cpython
# Just a place holder
print(1+2)
3
Next let’s implement \(a - b\)
a = [1,1,1]
b = [2,2,2]
[ia-ib for ia, ib in zip(a,b)]
[-1, -1, -1]
a = np.ones(3)
b = np.ones(3)*2
a - b
array([-1., -1., -1.])
2.7.2. Usages¶
To enable multi-tabs, first configure the tabs
entry in the
config.ini
file. For example, here we use
tabs = python, numpy, cpython
. python
is the default tab. To
specify a code block that doesn’t belong to the default tab, add
#@tab
, followed by the tab name (case insensitive), in the first
line of the code block.
Sometimes these codes blocks conflict with each others. We can activate one tab at a time, so only code blocks belong to this tab can be evaluated in Jupyter. For example
d2lbook activate default user/code_tabs.md # activate the default tab
d2lbook activate numpy user/code_tabs.md # activate the numpy tab
d2lbook activate all user/code_tabs.md # activate all tabs