Batch installation script for installing fun Python libraries for compciv2017 class (on top of Anaconda/Python 3.5+)

go-python-go.sh

############################################################################### 
# Batch script for setting up fun Python libraries for Computational Methods in the Civic Sphere 2017
#
# Should be run after installing Anaconda 4.2+/Python 3.5+ via https://www.continuum.io/downloads
#
# Doesn't include libraries that are installed as dependencies (e.g. numpy via pandas) 
##############################################################################

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###### Yes

### awscli: The power of AWS from command-line
# https://aws.amazon.com/cli/
pip install awscli

### boto3: The power of AWS in Python scripting
# https://boto3.readthedocs.io/en/latest/
conda install -y boto3=1.4.1

### csvkit: command-line tools for converting to and working with CSV
# http://csvkit.readthedocs.io/en/latest/
conda install -y csvkit=0.9.1

### cssselect: provides CSS selector queries for lxml
# https://pythonhosted.org/cssselect/
conda install -y cssselect

### Flask: Micro web framework
# http://flask.pocoo.org/
conda install -y flask=0.11.1

### iPython: productive interactive computing
# https://ipython.readthedocs.io/en/stable/
conda install -y ipython=5.1.0

### lxml: best XML/HTML parsing
# http://lxml.de/
conda install -y lxml=3.7.0 --channel conda-forge 

### moviepy: programmatic video editing
# http://zulko.github.io/moviepy/
pip install moviepy

### pillow: python imaging library
# https://python-pillow.org/
conda install -y pillow=3.4.2

### pydub: Manipulate audio with a simple and easy high level interface 
# http://pydub.com/
pip install pydub

### pyproj: Python interface for PROJ4, i.e. coordinate projection
# https://jswhit.github.io/pyproj/
# https://github.com/dannguyen/python-notebooks-data-wrangling/blob/master/scripts/wrangling-nypd-frisks.py
conda install -y pyproj

### requests: HTTP for Humans
# http://docs.python-requests.org/en/master/
conda install -y requests=2.12.4

### spaCy: Industrial-strength natural language processing
# https://spacy.io/
conda install -y spacy=0.101.0

### xmltodict: easy XML parsing
# https://xmldataset.readthedocs.io/en/latest/
conda install -y xmltodict --channel conda-forge

### youtube-dl: command-line video-archiving
# https://rg3.github.io/youtube-dl/
pip install youtube-dl


##############################################################################
###### Cool stuff

### Geocoder: wrapper around geocoding APIs
# http://geocoder.readthedocs.io/
pip install geocoder

### opencv3
# http://docs.opencv.org/3.0-beta/doc/py_tutorials/py_setup/py_intro/py_intro.html
conda install -y opencv3=3.1.0 --channel menpo 

### pdfplumber: Plumb a PDF and easily extract text and tables.
# https://github.com/jsvine/pdfplumber
# https://github.com/dannguyen/pdftotablestable
pip install pdfplumber

### selenium: web browser automation
# http://selenium-python.readthedocs.io/
conda install -y selenium --channel conda-forge

### tweepy: wrapper around Twitter API
# http://docs.tweepy.org/en/v3.5.0/
pip install tweepy



##############################################################################
###### Data stuff
# (hopefully don't need to do data analysis/viz shit for this course, but just in case)



### pandas: R for Python
# http://pandas.pydata.org/
conda install -y pandas=0.19.1

### matplotlib: Python plotting
# http://matplotlib.org/
# http://www.labri.fr/perso/nrougier/teaching/matplotlib/matplotlib.html
conda install -y matplotlib=1.5.3

### basemap: Matplotlib plugin for plotting data on map projections
# https://github.com/matplotlib/basemap
# https://gist.github.com/dannguyen/eb1c4e70565d8cb82d63
conda install -y basemap=1.0.7

### Seaborn: statistical data visualization (pretty matplotlib)
# http://seaborn.pydata.org/
conda install -y seaborn



##############################################################################
###### Experimental


### altair: Declarative statistical visualization library
# https://altair-viz.github.io/
# https://dansaber.wordpress.com/2016/10/02/a-dramatic-tour-through-pythons-data-visualization-landscape-including-ggplot-and-altair/
conda install -y altair  --channel conda-forge

### cartopy: A library providing cartographic tools for python.
# http://scitools.org.uk/cartopy/index.html
conda install -y cartopy --channel IOOS

### librosa: Python library for audio and music analysis
# http://librosa.github.io/librosa/index.html
conda install -y librosa --channel conda-forge

# schedule: Python job scheduling for humans
# https://github.com/dbader/schedule
pip install schedule

Why do we need some packages from Conda and some from pip