Hello MinRK,
here is what I get from conda list:
_license 1.1 py35_1 defaults
abstract-rendering 0.5.1 np110py35_0 defaults
alabaster 0.7.6 py35_0 defaults
anaconda 2.4.1 np110py35_0 defaults
anaconda-client 1.2.1 py35_0 defaults
appnope 0.1.0 py35_0 defaults
appscript 1.0.1 py35_0 defaults
argcomplete 1.0.0 py35_1 defaults
astropy 1.0.6 np110py35_0 defaults
babel 2.1.1 py35_0 defaults
beautifulsoup4 4.4.1 py35_0 defaults
bitarray 0.8.1 py35_0 defaults
blaze 0.8.3 <pip>
blaze-core 0.8.3 py35_0 defaults
bokeh 0.10.0 py35_0 defaults
boto 2.38.0 py35_0 defaults
bottleneck 1.0.0 np110py35_0 defaults
cffi 1.2.1 py35_0 defaults
clyent 1.2.0 py35_0 defaults
colorama 0.3.3 py35_0 defaults
conda 3.18.8 py35_0 defaults
conda-build 1.18.2 py35_0 defaults
conda-env 2.4.5 py35_0 defaults
configobj 5.0.6 py35_0 defaults
cryptography 1.0.2 py35_0 defaults
curl 7.45.0 0 defaults
cycler 0.9.0 py35_0 defaults
cython 0.23.4 py35_1 defaults
cytoolz 0.7.4 py35_0 defaults
datashape 0.4.7 np110py35_1 defaults
decorator 4.0.4 py35_0 defaults
docutils 0.12 py35_0 defaults
dynd 9b63882 <pip>
dynd-python 0.7.0 py35_0 defaults
fastcache 1.0.2 py35_0 defaults
flask 0.10.1 py35_1 defaults
freetype 2.5.5 0 defaults
greenlet 0.4.9 py35_0 defaults
h5py 2.5.0 np110py35_4 defaults
hdf5 1.8.15.1 2 defaults
idna 2.0 py35_0 defaults
ipykernel 4.1.1 py35_0 defaults
ipython 4.0.1 py35_0 defaults
ipython-genutils 0.1.0 <pip>
ipython-notebook 4.0.4 py35_0 defaults
ipython-qtconsole 4.0.1 py35_0 defaults
ipython_genutils 0.1.0 py35_0 defaults
ipywidgets 4.1.0 py35_0 defaults
itsdangerous 0.24 py35_0 defaults
jbig 2.1 0 defaults
jdcal 1.0 py35_0 defaults
jedi 0.9.0 py35_0 defaults
jinja2 2.8 py35_0 defaults
jpeg 8d 1 defaults
jsonschema 2.4.0 py35_0 defaults
jupyter 1.0.0 py35_1 defaults
jupyter-client 4.1.1 <pip>
jupyter-console 4.0.3 <pip>
jupyter-core 4.0.6 <pip>
jupyter_client 4.1.1 py35_0 defaults
jupyter_console 4.0.3 py35_0 defaults
jupyter_core 4.0.6 py35_0 defaults
launcher 1.0.0 3 defaults
libdynd 0.7.0 0 defaults
libpng 1.6.17 0 defaults
libtiff 4.0.6 1 defaults
libxml2 2.9.2 0 defaults
libxslt 1.1.28 2 defaults
llvmlite 0.8.0 py35_0 defaults
lxml 3.4.4 py35_0 defaults
markupsafe 0.23 py35_0 defaults
matplotlib 1.5.0 np110py35_0 defaults
mistune 0.7.1 py35_0 defaults
multipledispatch 0.4.8 py35_0 defaults
nbconvert 4.0.0 py35_0 defaults
nbformat 4.0.1 py35_0 defaults
networkx 1.10 py35_0 defaults
nltk 3.1 py35_0 defaults
node-webkit 0.10.1 0 defaults
nose 1.3.7 py35_0 defaults
notebook 4.0.6 py35_0 defaults
numba 0.22.1 np110py35_0 defaults
numexpr 2.4.4 np110py35_0 defaults
numpy 1.10.1 py35_0 defaults
odo 0.3.4 py35_0 defaults
openpyxl 2.2.6 py35_0 defaults
openssl 1.0.2d 0 defaults
pandas 0.17.1 np110py35_0 defaults
path.py 8.1.2 py35_1 defaults
patsy 0.4.0 np110py35_0 defaults
pep8 1.6.2 py35_0 defaults
pexpect 3.3 py35_0 defaults
pickleshare 0.5 py35_0 defaults
pillow 3.0.0 py35_1 defaults
pip 7.1.2 py35_0 defaults
ply 3.8 py35_0 defaults
psutil 3.3.0 py35_0 defaults
ptyprocess 0.5 py35_0 defaults
py 1.4.30 py35_0 defaults
pyasn1 0.1.9 py35_0 defaults
pycosat 0.6.1 py35_0 defaults
pycparser 2.14 py35_0 defaults
pycrypto 2.6.1 py35_0 defaults
pycurl 7.19.5.1 py35_3 defaults
pyflakes 1.0.0 py35_0 defaults
pygments 2.0.2 py35_0 defaults
pyopenssl 0.15.1 py35_1 defaults
pyparsing 2.0.3 py35_0 defaults
pyqt 4.11.4 py35_1 defaults
pytables 3.2.2 np110py35_0 defaults
pytest 2.8.1 py35_0 defaults
python 3.5.1 0 defaults
python-dateutil 2.4.2 py35_0 defaults
python.app 1.2 py35_4 defaults
pytz 2015.7 py35_0 defaults
pyyaml 3.11 py35_1 defaults
pyzmq 14.7.0 py35_1 defaults
qt 4.8.7 1 defaults
qtconsole 4.1.1 py35_0 defaults
readline 6.2 2 defaults
redis 2.6.9 0 defaults
redis-py 2.10.3 py35_0 defaults
requests 2.8.1 py35_0 defaults
rope 0.9.4 py35_1 defaults
rope-py3k-0.9.4 1 <pip>
scikit-image 0.11.3 np110py35_0 defaults
scikit-learn 0.17 np110py35_1 defaults
scipy 0.16.0 np110py35_1 defaults
setuptools 18.5 py35_0 defaults
simplegeneric 0.8.1 py35_0 defaults
sip 4.16.9 py35_0 defaults
six 1.10.0 py35_0 defaults
snowballstemmer 1.2.0 py35_0 defaults
sockjs-tornado 1.0.1 py35_0 defaults
sphinx 1.3.1 py35_0 defaults
sphinx-rtd-theme 0.1.7 <pip>
sphinx_rtd_theme 0.1.7 py35_0 defaults
spyder 2.3.8 py35_0 defaults
spyder-app 2.3.8 py35_0 defaults
sqlalchemy 1.0.9 py35_0 defaults
sqlite 3.8.4.1 1 defaults
statsmodels 0.6.1 np110py35_0 defaults
sympy 0.7.6.1 py35_0 defaults
tables 3.2.2 <pip>
terminado 0.5 py35_1 defaults
tk 8.5.18 0 defaults
toolz 0.7.4 py35_0 defaults
tornado 4.3 py35_0 defaults
traitlets 4.0.0 py35_0 defaults
ujson 1.33 py35_0 defaults
unicodecsv 0.14.1 py35_0 defaults
werkzeug 0.11.2 py35_0 defaults
wheel 0.26.0 py35_1 defaults
xlrd 0.9.4 py35_0 defaults
xlsxwriter 0.7.7 py35_0 defaults
xlwings 0.5.0 py35_0 defaults
xlwt 1.0.0 py35_0 defaults
xz 5.0.5 0 defaults
yaml 0.1.6 0 defaults
zeromq 4.1.3 0 defaults
zlib 1.2.8 0 defaults
basically the entire anaconda install
meanwhile, I installed R and Julia kernels, trying to see if the problem came from the kernel, jupyter, or the link in between.
both kernels work fine, and look pretty much like the faulty one to me (same {connection_file} looking empty):
{
"display_name": "Julia 0.4.2",
"argv": [
"/Applications/
Julia-0.4.2.app/Contents/Resources/julia/bin/julia",
"-i",
"-F",
"/Users/dvoisin/.julia/v0.4/IJulia/src/kernel.jl",
"{connection_file}"
],
"language": "julia"
}
{
"argv": ["/Library/Frameworks/R.framework/Resources/bin/R", "--slave", "-e", "IRkernel::main()", "--args", "{connection_file}"],
"display_name": "R",
"language": "R"
}
dda