Best practices

Let's start with pep8 (https://www.python.org/dev/peps/pep-0008/)

Imports should be grouped in the following order:

standard library imports

related third party imports

local application/library specific imports

You should put a blank line between each group of imports. Put any relevant all specification after the imports.



In [2]:

    
# Best practice for loading libraries?
# Couldn't find what to do with 'magic' imports at the top

%load_ext autoreload
%autoreload 2
%matplotlib inline
%config InlineBackend.figure_format='retina' 

from __future__ import division

from itertools import combinations
import string

from IPython.display import IFrame, HTML, YouTubeVideo
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy as sp
import seaborn as sns; sns.set();

plt.rcParams['figure.figsize'] = (12, 8)
sns.set_style("darkgrid")
sns.set_context("poster", font_scale=1.3)









    



The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload






    



/Users/jonathan/anaconda/envs/anaconda_r/lib/python2.7/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))

Pivot Tables w/ pandas

http://nicolas.kruchten.com/content/2015/09/jupyter_pivottablejs/



In [3]:

    
YouTubeVideo("ZbrRrXiWBKc", width=800, height=600)









    Out[3]:



In [4]:

    
!pip install pivottablejs









    



Collecting pivottablejs
  Using cached pivottablejs-0.1.0-py2.py3-none-any.whl
Installing collected packages: pivottablejs
Successfully installed pivottablejs-0.1.0



In [5]:

    
df = pd.read_csv("../data/mps.csv")



In [6]:

    
df.head()









    Out[6]:






  
    
      
      Name
      Party
      Province
      Age
      Gender
    
  
  
    
      0
      Liu, Laurin
      NDP
      Quebec
      22
      Female
    
    
      1
      Mourani, Maria
      Bloc Quebecois
      Quebec
      43
      Female
    
    
      2
      Sellah, Djaouida
      NDP
      Quebec
      NaN
      Female
    
    
      3
      St-Denis, Lise
      NDP
      Quebec
      72
      Female
    
    
      4
      Fry, Hedy
      Liberal
      British Columbia
      71
      Female



In [7]:

    
from pivottablejs import pivot_ui
pivot_ui(df)
# Province, Party, Average, Age, Heatmap









    Out[7]:

Keyboard shortcuts



In [8]:

    
# in select mode, shift j/k (to select multiple cells at once)
# split cell with ctrl shift -



In [9]:

    
first = 1

second = 2

third = 3

Floating Table of Contents

Creates a new button on the toolbar that pops up a table of contents that you can navigate by.

In your documentation if you indent by 4 spaces, you get monospaced code-style code so you can embed in a Markdown cell:

$ mkdir toc
$ cd toc

$ wget https://raw.githubusercontent.com/minrk/ipython_extensions/master/nbextensions/toc.js

$ wget https://raw.githubusercontent.com/minrk/ipython_extensions/master/nbextensions/toc.css
$ cd ..

$ jupyter-nbextension install --user toc

$ jupyter-nbextension enable toc/toc

You can also get syntax highlighting if you tell it the language that you're including:

mkdir toc
cd toc

wget https://raw.githubusercontent.com/minrk/ipython_extensions/master/nbextensions/toc.js

wget https://raw.githubusercontent.com/minrk/ipython_extensions/master/nbextensions/toc.css
cd ..

jupyter-nbextension install --user toc
jupyter-nbextension enable toc/toc

R



In [10]:

    
import rpy2



In [11]:

    
%load_ext rpy2.ipython



In [12]:

    
X = np.array([0,1,2,3,4])
Y = np.array([3,5,4,6,7])



In [13]:

    
%%R -i X,Y -o XYcoef
XYlm = lm(Y~X)
XYcoef = coef(XYlm)
print(summary(XYlm))
par(mfrow=c(2,2))
plot(XYlm)









    





Call:
lm(formula = Y ~ X)

Residuals:
   1    2    3    4    5 
-0.2  0.9 -1.0  0.1  0.2 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)  
(Intercept)   3.2000     0.6164   5.191   0.0139 *
X             0.9000     0.2517   3.576   0.0374 *
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.7958 on 3 degrees of freedom
Multiple R-squared:   0.81,	Adjusted R-squared:  0.7467 
F-statistic: 12.79 on 1 and 3 DF,  p-value: 0.03739

Tech_Vault additions

Miniconda + conda environments

Probably the best way to go -- there should be an updated document in tech_vault that describes the way to setup py2, and py3 environments.

SVDS Template

color/seaborn template
standards of organization (imports all at the top)

R&D Project: Projects that would be great to support

http://nbdiff.org/
statsmodels



In [ ]:

	Name	Party	Province	Age	Gender
0	Liu, Laurin	NDP	Quebec	22	Female
1	Mourani, Maria	Bloc Quebecois	Quebec	43	Female
2	Sellah, Djaouida	NDP	Quebec	NaN	Female
3	St-Denis, Lise	NDP	Quebec	72	Female
4	Fry, Hedy	Liberal	British Columbia	71	Female