#!/usr/bin/env python
# coding: utf-8

# 
# <center>
# <img class="logo" src="images/keep-calm-and-conda-install.png" height="40%" width="40%" align="center"/>
# <br/><br/>
# <h2>Jonathan J. Helmus, Ph.D.
# </h2>
# <br/><br/>
# <h3>ChiPy </h3>
# <h3>August 13, 2015</h3>
# </center>
# 

# ## About Me
# 
# <img src="images/argonne_logo.png" height="25%" width="25%" align="right"/>
# 
# * Scientist and software developer at Argonne National Laboratory.
# * User of the Scientific Python stack 
#     * NumPy, SciPy, matplotlib, etc.
# * Lead developer of Py-ART an open source package for working with weather radar data.
# <img src="images/scipy_logo.png" height="20%" width="20%" align="right"/>
# 

# ## conda
# 
# * Cross-platform **package** and **environment** management system 
# * Written by Continuum Analytics
# * Open source, BSD license
# * Created for Python programs but can package and manage any software.
# * Does not require administator privileges.

# ## conda : the package manager
# 
# Conda is a cross platform package manager which installs binary conda packages.

# In[ ]:


# On mac
python
import numpy

conda --help
conda list   # not much installed
conda install scipy # notice dependency resolution
conda insall matplotlib ipython
conda install pandas  # notice that version 0.16.2 installed
conda remove pandas
conda install pandas=0.14
conda list   # not much installed

ipython
import pandas
pandas.__version__  # 0.14.1

conda update pandas

ipython
import pandas
pandas.__version__  # 0.16.2


# In[ ]:


# On Windows in the ChiPy environment
pip install numpy   # Visual C++ what, what what...
conda install numpy
conda install scipy matplotlib ipython

ipython --pylab
import numpy
import scipy
plot(sin(linspace(-pi, pi)))


# 
# * **conda install** : Install a package
# * **conda remove** : Remove a package
# * **conda update** : Update a package
# * **conda list** : List packages installed

# ## conda : the environment manager
# 
# Conda can create isolated environments that have their own 
# set of installed and managed packages.  

# In[ ]:


# source deactivate

conda create --name chipy_py27 python=2.7  # who likes Python 2.7
source activate chipy_py27

python
>>> 5 / 2   # 2...wait
>>> 1 / 2   # 0 
>>> round(1.2)   1.0

conda install numpy

python
import numpy
numpy.__version__

soure deactivate
conda create -n chipy_py34 python=3.4 numpy=1.7 # fail
conda create -n chipy_py34 python=3.4 numpy=1.8
source activate chipy_py34

python
>>> 5 / 2   # 2.5 better
>>> 1 / 2   # 0.5
>>> round(1.2)   1
type(round(1.2))
numpy.__version__  # 1.8.2


# * **conda create** : Create a new conda environment
# * **source activate** : Activate a conda enviroment
# * **source deactivate** : Deactivate the current conda enviroment
# 
# Packages are hard linked into the enviroment to save disk space.

# ## Finding conda packages
# 
# Conda can search for packages from the repository provided by Continuum as well as packages created by users and shared on Anaconda.org

# In[ ]:


conda search basemap
conda search cartopy

conda server search cartopy
anaconda show shoyer/cartopy

# Search on Anaconda.org


# * **conda search** : Search for packages in the Continuum repository.
# * **anaconda search** : Search for user created packages on Anaconda.org

# ## Creating and sharing conda packages
# 
# Conda packages can be built from a recipe and shared on Anaconda.org

# In[ ]:


cd recipe/pyart

cd ..
conda build pyart
<lots of text>


# * **conda build** : Build a conda package from a recipe
# * **anaconda upload** : Upload a package to Anaconda.org

# In[ ]:


anaconda search pyart
anaconda show jjhelmus/pyart
conda create -n radar_fun python=2.7
source activate radar_fun
conda install --channel https://conda.anaconda.org/jjhelmus pyart
conda install ipython basemap

ipython --pylab
import urllib
import pyart
url = 'ftp://tgftp.nws.noaa.gov/SL.us008001/DF.of/DC.radar/DS.p19r0/SI.klot/sn.last'
f = urllib.urlopen(url)
radar = pyart.io.read_nexrad_level3(f)
display = pyart.graph.RadarMapDisplay(radar)
display.plot_ppi_map('reflectivity', vmin=-32, vmax=80, cmap='pyart_NWSRef', resolution='c', embelish=False)
display.basemap.drawcounties()
draw()


# ## How to get conda?
# 
# Conda is available through Anaconda or Miniconda. It cannot be installed seperately.
# 
# * **Anaconda** : Python distribution which includes Python, conda and a number of common scientific packages.
# * **Miniconda** : Lightweight distribution, Python and conda only, which can be used to "bootstrap" a more complete Python environment.
# 
# Both Anaconda and Miniconda install into a single directory.  Try one out! You can always remove this directory to get back your original Python setup.

# <center>
# ## Thanks
# <br/> <br/>
# ## Questions?
# <br/> <br/>
# <center>
# Jonathan J. Helmus, Ph.D. 
# <br/><br/>
# jjhelmus@gmail.com 
# <br/><br/>
# GitHub: jjhelmus 
# <br/><br/>
# http://nmrglue.com/jhelmus
# 

# In[ ]: