Notebooks#
Jupyter Notebook#
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Colored Note Boxes#
Blue Boxes (alert-info)
<div class="alert alert-block alert-info">
<b>Tip:</b> Use blue boxes (alert-info) for tips and notes.
If it’s a note, you don’t have to include the word “Note”.
</div>
Tip: Use blue boxes (alert-info) for tips and notes. If it’s a note, you don’t have to include the word “Note”.
Yellow Boxes (alert-warning)
<div class="alert alert-block alert-warning">
<b>Example:</b> Use yellow boxes for examples that are not
inside code cells, or use for mathematical formulas if needed.
</div>
Example: Use yellow boxes for examples that are not inside code cells, or use for mathematical formulas if needed.
Green Boxes (alert-success)
<div class="alert alert-block alert-success">
<b>Up to you:</b> Use green boxes sparingly, and only for some specific
purpose that the other boxes can't cover. For example, if you have a lot
of related content to link to, maybe you decide to use green boxes for
related links from each section of a notebook.
</div>
Up to you: Use green boxes sparingly, and only for some specific purpose that the other boxes can’t cover. For example, if you have a lot of related content to link to, maybe you decide to use green boxes for related links from each section of a notebook.
Red Boxes (alert-danger)
<div class="alert alert-block alert-danger">
<b>Just don't:</b> In general, avoid the red boxes. These should only be
used for actions that might cause data loss or another major issue.
</div>
Just don’t: In general, avoid the red boxes. These should only be used for actions that might cause data loss or another major issue.
Magics#
List all cell/line magics
%lsmagic
Writes the cell contents as a named file
%%writefile foo.py
print('Hello world')
Run a python file
%run foo
[1]:
import numpy as np
[2]:
%alias_magic t time
%precision 3
Created `%t` as an alias for `%time`.
Created `%%t` as an alias for `%%time`.
[2]:
'%.3f'
[3]:
%%t
a = 3000
b = '100'
c = int(b)
d = np.linalg.inv(np.random.random((a,a)))
%timeit -n100 np.linalg.inv(np.random.random((c,c)))
1.37 ms ± 63.2 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
CPU times: total: 7.61 s
Wall time: 1.39 s
[4]:
%whos
%xdel d
%whos
Variable Type Data/Info
-------------------------------
a int 3000
b str 100
c int 100
d ndarray 3000x3000: 9000000 elems, type `float64`, 72000000 bytes (68.66455078125 Mb)
np module <module 'numpy' from 'C:\<...>ges\\numpy\\__init__.py'>
Variable Type Data/Info
------------------------------
a int 3000
b str 100
c int 100
np module <module 'numpy' from 'C:\<...>ges\\numpy\\__init__.py'>
[5]:
# %load_ext rpy2.ipython