Jupyter 101

Jupyter notebook : IPython

jupyter.org

Install Jupyter notebook

Install Anaconda

Anaconda.org Cloud

Anaconda packages using pip

Anaconda packages development in GitHub

Anaconda documentation

# anaconda packages installation
# conda install pip
% conda install -c anaconda pip
% pip install package-name 
# to launch
% jupyter notebook
# Or, launch from Anaconda Navigator
# to install new packages
# import sys
# !{sys.executable} -m pip install newpackage

Basics

Dashboard

   File
   Run
   New

Menu Bar

Tool Bar

Create new notebook

Rename notebook

Save notebook

Load notebook and "run all"

Cell : command mode, edit mode, raw NB convert mode

shortcuts : command palette

Shift-Enter

Example : code cell

import numpy as np
print (np.__version__)

import sqlite3
# from IPython.utils.path import get_ipython_dir # moved to IPython.paths
import pprint
from IPython.paths import get_ipython_dir
hist_file = '%s/profile_default/history.sqlite' % get_ipython_dir()
print (hist_file)

Example : markdown cell (use print preview or shift-enter, double click to edit)

[esc]+m
%matplotlib qt
%matplotlib auto
%matplotlib inline
%matplotlib -l
%matplotlib --list
[esc]+o           ## toggle output
%load_ext?
%time?
!ls
!dir
!pwd

### Heading1
## Heading2
# Heading1
 [Link to this page](http://www.google.com)

1. first
    1. first of first
2. second

- bullet
    - bullet
*italic*
_italic_
**bold**
***italic and bold***
~~strike through~~

Example : Markdown Table

# use http://www.tablesgenerator.com/markdown_tables
#     to generate the markdown code for tables
# copy the table form Excel or Google Sheet
#     paste to the table on This Page
#     and click [Generate]
# copy the Result code to your Jupyter Notebook Markdown Cell

Example : Fun with matplotlib

import matplotlib.pyplot as plt
t = np.ones(30)
# red dashes, blue squares and green triangles
plt.plot(t, t, 'r--', t, t**2, 'bs', t, t**3, 'g^')
plt.show()

Example : Visualize Big O Notation

import numpy as np
import matplotlib.pyplot as plt
n = np.ones(40)
t = np.arange(1.,20.,0.5)
lineflt = plt.plot(t, t*0, 'g--' )
linelog = plt.plot(t, np.log(t), color='#990000', label="O(Log n)")
#plt.plot(t, np.log(t), 'b', t, t, 'r', t, t*t,)
linelin = plt.plot(t,t, label="O(n) linear", color='orange')
linenlg = plt.plot(t,t*np.log(t), label="O(n Log n)")
linen2n = plt.plot(t,t*t, 'c', label="O(n^2)")
linen3n = plt.plot(t,t**3, color='#ffa500', label="O(n^3)")
line2tn = plt.plot(t,2**t, 'm', label="O(2^n)")
plt.ylim(0,100)
plt.legend()
plt.grid(True)
# plt.ylabel('some numbers')
plt.show()