Present: Gabby, Xuemin and Remy
\Woohoo we got some !@#$ to work!
Ok so Anaconda is awesome. We followed through with tutorials on how to make an environment and how to install stuff to an environment
Having success in both of these now, we’re going to play with other stuff and familiarize ourselves with it some more!
Tis promising and encouraging. –3:39pm 9/10/14
Installing packages into Conda is really easy! So we tried it out with Curveship. This did not work.
We found that in order to use Python packages in Conda, they have to be first made into Conda packages (╯>□<）╯︵ ┻━┻
So we’re just going to experiment with installing and familiarizing ourselves with the environment. Here’s all the packages Conda has by default:
anaconda
argcomplete
astropy
backports.ssl-match-hostname
beautiful-soup
beautifulsoup4
binstar
bitarray
blaze
blz
bokeh
cdecimal
colorama
conda
conda-build
configobj
cython
datashape
dateutil
docutils
dynd-python
flask
future
greenlet
h5py
ipython
ipython-notebook
ipython-qtconsole
itsdangerous
jdcal
jinja2
libpython
llvmpy
lxml
markupsafe
matplotlib
menuinst
mingw
mock
multipledispatch
networkx
nose
numba
numexpr
numpy
openpyxl
pandas
patsy
pip
ply
psutil
py
pycosat
pycparser
pycrypto
pyflakes
pygments
pyparsing
pyqt
pyreadline
pytables
pytest
python
python-dateutil
pytz
pyyaml
pyzmq
requests
rope
rope-py3k
runipy
scikit-image
scipy
setuptools
six
sphinx
spyder
spyder-app
sqlalchemy
ssl_match_hostname
sympy
tables
tornado
ujson
werkzeug
xlrd
xlsxwriter
Installing from a URL works fine.
We tried downloading an external conda package, and ultimately failed with the same error we keep getting with Curveship: “file or directory not found”
Thisy here is the same package we tried installing via URL in the command as well as downloading locally.
We’re confused. That is all. @_@
