PandasIntro/Installation_Customization_Resources.txt at master · dblyon/PandasIntro · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
##########################################################################################
# CBioVikings
http://cbiovikings.org/

# git repository for this event
https://github.com/dblyon/PandasIntro

##########################################################################################
##### INSTALLATION
### Program prerequisites:
1.) Git
https://git-scm.com/
2.) Python (2.x or 3.x) or Anaconda (Python and other commonly used packages)
https://www.python.org/
https://www.continuum.io/downloads

The following Python packages can be installed using "pip" (a Python package manager)
or found at "pypi" as well as individual web-sites.
https://pip.pypa.io/en/stable/installing/
https://pypi.python.org
EASY INSTALLATION using pip:
enter the following in the terminal to install 3 packages at once including all dependencies
"pip install ipython jupyter numpy pandas"
(if pip is not available write the following:
"easy_install pip")
3.) IPython and Jupyter
http://jupyter.readthedocs.org/en/latest/install.html
4.) Numpy
http://www.numpy.org/
5.) Pandas
http://pandas.pydata.org/

##########################################################################################
##### CUSTOMIZATION
### Customize IPython and Notebook
# execute in terminal
ipython profile create

##### set CELL WIDTH to 90% of window
# Customize by modifying
~/.jupyter/custom.css
# previously was in
# ~/.ipython/profile_default/static/custom/custom.css
.container { width:90% !important; }

##### dark theme and other themes for the Jupyter notebook
https://github.com/dunovank/jupyter-themes.git

###############################################################################
####### RESOURCES used for this workshop
##### Pandas
#### Book by Wes McKinney
http://shop.oreilly.com/product/0636920023784.do
#### Pandas website
http://pandas.pydata.org/

#### Very good, but long tutorial.
https://github.com/fonnesbeck/statistical-analysis-python-tutorial
https://www.youtube.com/watch?v=DXPwSiRTxYY

### exploratory computing with Python
http://mbakker7.github.io/exploratory_computing_with_python/

### Intro to pandas data structures
http://www.gregreda.com/2013/10/26/intro-to-pandas-data-structures/

### Jupyter
http://jupyter.org/

### Pandas cheat sheet
https://github.com/pandas-dev/pandas/blob/master/doc/cheatsheet/Pandas_Cheat_Sheet.pdf

### Exercises
https://github.com/fonnesbeck/statistical-analysis-python-tutorial
https://github.com/guipsamora/pandas_exercises
https://github.com/ajcr/100-pandas-puzzles
http://gregreda.com/2013/10/26/working-with-pandas-dataframes/
http://pandas.pydata.org/

##########################################################################################
##### Markdown syntax for the Notebook
https://sourceforge.net/p/ipython/discussion/markdown_syntax

#### TOC within Jupyter Notebooks
https://github.com/kmahelona/ipython_notebook_goodies/blob/gh-pages/ipython_notebook_toc.js

###############################################################################
##### IPYTHON
### Debugging
# import ipdb; ipdb.set_trace()
http://stackoverflow.com/questions/16867347/step-by-step-debugging-with-ipython

##### IPython tutorial
http://ipython.org/ipython-doc/stable/interactive/tutorial.html

### IPython beyond plain Python
https://github.com/jupyter/ngcm-tutorial/blob/master/Day-1/IPython%20Kernel/Beyond%20Plain%20Python.ipynb

### Feather: exchanging data between Python and R
https://blog.rstudio.org/2016/03/29/feather/

### Interactive data visualization
http://nbviewer.jupyter.org/gist/walkerke/2e7153fcccc545aa1656

##################################################################
### Python 2 & Python 3 in the Notebook
http://stackoverflow.com/questions/28831854/how-do-i-add-python3-kernel-to-jupyter-ipython
http://stackoverflow.com/questions/30492623/using-both-python-2-x-and-python-3-x-in-ipython-notebook