
x = 1
y = 2
print(x+y)

3


print(y + 2)

4


from matplotlib import pyplot as plt
x = [1,2,3,4,5]
y = [6,7,8,9,10]
plt.plot(x, y)

[<matplotlib.lines.Line2D at 0x7f5f50fc29a0>]


%lsmagic

Available line magics:
%alias  %alias_magic  %autoawait  %autocall  %automagic  %autosave  %bookmark  %cat  %cd  %clear  %colors  %conda  %config  %connect_info  %cp  %debug  %dhist  %dirs  %doctest_mode  %ed  %edit  %env  %gui  %hist  %history  %killbgscripts  %ldir  %less  %lf  %lk  %ll  %load  %load_ext  %loadpy  %logoff  %logon  %logstart  %logstate  %logstop  %ls  %lsmagic  %lx  %macro  %magic  %man  %matplotlib  %mkdir  %more  %mv  %notebook  %page  %pastebin  %pdb  %pdef  %pdoc  %pfile  %pinfo  %pinfo2  %pip  %popd  %pprint  %precision  %prun  %psearch  %psource  %pushd  %pwd  %pycat  %pylab  %qtconsole  %quickref  %recall  %rehashx  %reload_ext  %rep  %rerun  %reset  %reset_selective  %rm  %rmdir  %run  %save  %sc  %set_env  %store  %sx  %system  %tb  %time  %timeit  %unalias  %unload_ext  %who  %who_ls  %whos  %xdel  %xmode

Available cell magics:
%%!  %%HTML  %%SVG  %%bash  %%capture  %%debug  %%file  %%html  %%javascript  %%js  %%latex  %%markdown  %%perl  %%prun  %%pypy  %%python  %%python2  %%python3  %%ruby  %%script  %%sh  %%svg  %%sx  %%system  %%time  %%timeit  %%writefile

Automagic is ON, % prefix IS NOT needed for line magics.


%run <my_script.py>


%load <my_script.py>


%%writefile pythoncode.py 

import numpy
a = 1
b = 2

def add(x,y)
    return x+y

c = add(a, b)

Writing pythoncode.py


%time

import random
for i in range(0, 1000000):
    random.random()

CPU times: user 0 ns, sys: 0 ns, total: 0 ns
Wall time: 8.11 µs


%matplotlib --list

Available matplotlib backends: ['tk', 'gtk', 'gtk3', 'wx', 'qt4', 'qt5', 'qt', 'osx', 'nbagg', 'notebook', 'agg', 'svg', 'pdf', 'ps', 'inline', 'ipympl', 'widget']


%matplotlib inline


from matplotlib import pyplot as plt
x = [1,2,3,4,5]
y = [6,7,8,9,10]
plt.plot(x, y)

[<matplotlib.lines.Line2D at 0x7ff98343f2e0>]


%matplotlib notebook


from matplotlib import pyplot as plt
x = [1,2,3,4,5]
y = [6,7,8,9,10]
plt.plot(x, y)


%load_ext autoreload
%autoreload 2


from foo import some_function


# Run function
some_function()


# Open foo.py in an editor and change some_function to return 43


# Run function after edit => will reflect the changes and return 43
some_function()


# --- Python implementation of primes():

def primes():
    result = []
    p = [0] * 1000
    kmax = 1000
    k = 0
    n = 2
    while k < kmax:
        i = 0
        while i < k and n % p[i] != 0:
            i = i + 1
        if i == k:
            p[k] = n
            k = k + 1
            result.append(n)
        n = n + 1
    return result


%timeit primes()

58.4 ms ± 1.13 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)


# --- Cython implementation of primes():


%load_ext Cython


%%cython

def primes():
    cdef int n, k, i #<--- defines integer variables
    cdef int p[1000] #<--- defines integer array
    result = []

    cdef int kmax = 1000 #<---
    k = 0
    n = 2
    while k < kmax:
        i = 0
        while i < k and n % p[i] != 0:
            i = i + 1
        if i == k:
            p[k] = n
            k = k + 1
            result.append(n)
        n = n + 1
    return result


%timeit primes()

2.16 ms ± 3.85 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)


!ls -la


!python --version


!conda list | grep cython


!conda install <package_name>
!pip install <package_name>


%%bash
for i in {1..5}
do echo "i = $i"
done

i = 1
i = 2
i = 3
i = 4
i = 5


%%python2
for i in xrange(5):
    print i


%%python3
for i in range(5):
    print(i)


import ipywidgets as widgets


slider = widgets.FloatSlider(
    value=7.5,
    min=5.0,
    max=10.0,
    step=0.1,
    description='Input:',
)

slider

FloatSlider(value=7.5, description='Input:', max=10.0, min=5.0)


print(slider.value)

7.5


# Create text box to hold slider value
text = widgets.FloatText(description='Value')

# Link slider value and text box value
widgets.link((slider, 'value'), (text, 'value'))

# Put them in a vertical box
widgets.VBox([slider, text])

VBox(children=(FloatSlider(value=8.3, description='Input:', max=10.0, min=5.0), FloatText(value=8.3, descripti…


def f(x):
    print(x * x)


widgets.interact(f, x=(0, 100));

interactive(children=(IntSlider(value=50, description='x'), Output()), _dom_classes=('widget-interact',))


slider = widgets.FloatSlider(
    value=7.5,
    min=5.0,
    max=10.0,
    step=0.1,
    description='Input:',
)

# Create non-editable text area to display square of value
square_display = widgets.HTML(description="Square: ", value='{}'.format(slider.value**2))

# Create function to update square_display's value when slider changes
def update_square_display(change):
    square_display.value = '{}'.format(change.new**2)
    
slider.observe(update_square_display, names='value')

# Put them in a vertical box
widgets.VBox([slider, square_display])

VBox(children=(FloatSlider(value=7.5, description='Input:', max=10.0, min=5.0), HTML(value='56.25', descriptio…

$ conda install -c conda-forge bqplot

$ jupyter nbconvert --to slides mynotebook.ipynb

$ ssh user@ip

Table of Contents

What is a Jupyter Notebook?¶

Code cell¶

Markdown cell¶

Jupyter keyboard shortcuts¶

Markdown syntax¶

IPython Magic commands¶

lsmagic¶

run file¶

load file¶

writefile¶

time¶

matplotlib display¶

autoreload modules¶

cython¶

Excecute system command¶

Run code from a different kernel¶

Widgets¶

slider¶

link widgets¶

widget interaction with function¶

other Jupyter widget frameworks¶

Convert notebook¶

Conversion to slides¶

Connection to remote notebooks¶

1. connection using vscode¶

2. connection without vscode: tunneling through SSH¶