Jupyter Notebooks
Table of Contents generated with DocToc
- Tutorials
- Keyboard Shortcuts
- Special Markdown
- Performance Analysis
- Including Plots into Jupyter Notebooks
- Debugging
- References
Tutorials
Keyboard Shortcuts
| Key | Function |
|---|---|
| Enter | Toggle ‘‘edit mode’’ for active cell |
| Shift+Enter | '’Run’’ active cell and ‘‘move’’ to next |
| Ctrl+Enter | '’Run’’ active cell and ‘‘stay’’ there |
| Tab | Show available ‘‘completions’’ |
| Shift+Tab | Show ‘‘help’’ for command under cursor |
Special Markdown
MathJax
- LaTeX Primer
- Comprehensive List of TeX Commands Available in MathJax
- DeTeXify - Identify LaTeX command by drawing a symbol
| MathJax | Description |
|---|---|
| \(a = \frac{b}{c}\) | $$a = \frac{b}{c}$$ defines a LaTeX formula rendered using MathJax. The formula is displayed centered. |
| $a = \frac{b}{c}$ | $a = \frac{b}{c}$ defines inline LaTeX math. The formula is displayed inline with the text. |
Magic Keywords
- Start a line with
%to include a magic keyword for the current line. - Start a line with
%%to include a magic keyword for the entire cell.
Performance Analysis
Calculate the time a specific function call requires
%timeit my_function(arg1, arg2)
Calculate the time an entire cell requires
%%timeit
...
# cell contents
...
Including Plots into Jupyter Notebooks
%matplotlib inline
The parameter inline specifies that the “inline” backend shall render the diagram directly into the Jupyter window. If you omit that parameter, the diagram will be rendered into a new window.
On a retina display the rendered diagram can look blurry. To correct this, use
%config InlineBackend.figure_format = 'retina'
to render high resolution images.
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(20)
y = x**2
plt.plot(x, y)
Example by Udacity
Debugging
Use the magic command
%pdb
to launch the debugger when the executed python script hits an error condition. Find the python debugger help page here.
To get the IPython debugging shell with syntax highlighting, add the following code to your cell:
from IPython.core.debugger import set_trace
def add_to_life_universe_everything(x):
answer = 42
set_trace()
answer += x
return answer
add_to_life_universe_everything(12)