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How does one see all the packages that have been installed in developer mode with conda?

I did conda list but I can't see what I am looking for. Are conda packages installed with conda developed . not shown?
# packages in environment at /Users/pinocchio/anaconda3/envs/myenv:
#
# Name Version Build Channel
absl-py 0.9.0 py37_0
appnope 0.1.0 py37hc8dfbb8_1001 conda-forge
asn1crypto 1.3.0 py37_0
astroid 2.3.3 py37_0
attrs 19.3.0 py_0 conda-forge
backcall 0.1.0 py_0 conda-forge
beautifulsoup4 4.8.2 py37_0
blas 1.0 mkl
bleach 3.1.4 pyh9f0ad1d_0 conda-forge
bzip2 1.0.8 h1de35cc_0
c-ares 1.15.0 h1de35cc_1001
ca-certificates 2020.1.1 0
cairo 1.14.12 hc4e6be7_4
certifi 2020.4.5.1 py37_0
cffi 1.14.0 py37hb5b8e2f_0
chardet 3.0.4 py37_1003
conda 4.8.3 py37_0
conda-build 3.18.11 py37_0
conda-package-handling 1.6.0 py37h1de35cc_0
cryptography 2.8 py37ha12b0ac_0
cycler 0.10.0 py37_0
decorator 4.4.2 py_0 conda-forge
defusedxml 0.6.0 py_0 conda-forge
entrypoints 0.3 py37hc8dfbb8_1001 conda-forge
expat 2.2.6 h0a44026_0
filelock 3.0.12 py_0
fontconfig 2.13.0 h5d5b041_1
freetype 2.9.1 hb4e5f40_0
fribidi 1.0.5 h1de35cc_0
gettext 0.19.8.1 h15daf44_3
glib 2.63.1 hd977a24_0
glob2 0.7 py_0
graphite2 1.3.13 h2098e52_0
graphviz 2.40.1 hefbbd9a_2
grpcio 1.16.1 py37h044775b_1
harfbuzz 1.8.8 hb8d4a28_0
icu 58.2 h4b95b61_1
idna 2.9 py_1
importlib-metadata 1.6.0 py37hc8dfbb8_0 conda-forge
importlib_metadata 1.6.0 0 conda-forge
intel-openmp 2019.4 233
ipykernel 5.2.0 py37h43977f1_1 conda-forge
ipython 7.13.0 py37hc8dfbb8_2 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
isort 4.3.21 py37_0
jedi 0.16.0 py37hc8dfbb8_1 conda-forge
jinja2 2.11.1 py_0
jpeg 9b he5867d9_2
json5 0.9.0 py_0 conda-forge
jsonschema 3.2.0 py37hc8dfbb8_1 conda-forge
jupyter_client 6.1.2 py_0 conda-forge
jupyter_core 4.6.3 py37hc8dfbb8_1 conda-forge
jupyterlab 2.0.1 py_0 conda-forge
jupyterlab_server 1.0.7 py_0 conda-forge
kiwisolver 1.1.0 py37h0a44026_0
lazy-object-proxy 1.4.3 py37h1de35cc_0
libarchive 3.3.3 h786848e_5
libcxx 4.0.1 hcfea43d_1
libcxxabi 4.0.1 hcfea43d_1
libedit 3.1.20181209 hb402a30_0
libffi 3.2.1 h475c297_4
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
liblief 0.9.0 h2a1bed3_2
libpng 1.6.37 ha441bb4_0
libprotobuf 3.11.4 hd9629dc_0
libsodium 1.0.17 h01d97ff_0 conda-forge
libtiff 4.1.0 hcb84e12_0
libxml2 2.9.9 hf6e021a_1
lz4-c 1.8.1.2 h1de35cc_0
lzo 2.10 h362108e_2
markdown 3.1.1 py37_0
markupsafe 1.1.1 py37h1de35cc_0
matplotlib 3.1.3 py37_0
matplotlib-base 3.1.3 py37h9aa3819_0
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h0b31af3_1000 conda-forge
mkl 2019.4 233
mkl-service 2.3.0 py37hfbe908c_0
mkl_fft 1.0.15 py37h5e564d8_0
mkl_random 1.1.0 py37ha771720_0
nbconvert 5.6.1 py37_0 conda-forge
nbformat 5.0.4 py_0 conda-forge
ncurses 6.2 h0a44026_0
ninja 1.9.0 py37h04f5b5a_0
notebook 6.0.3 py37_0 conda-forge
numpy 1.18.1 py37h7241aed_0
numpy-base 1.18.1 py37h6575580_1
olefile 0.46 py37_0
openssl 1.1.1g h1de35cc_0
pandoc 2.9.2 0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
pango 1.42.4 h060686c_0
parso 0.6.2 py_0 conda-forge
pcre 8.43 h0a44026_0
pexpect 4.8.0 py37hc8dfbb8_1 conda-forge
pickleshare 0.7.5 py37hc8dfbb8_1001 conda-forge
pillow 6.2.1 py37hb68e598_0
pip 20.0.2 py37_1
pixman 0.38.0 h1de35cc_0
pkginfo 1.5.0.1 py37_0
prometheus_client 0.7.1 py_0 conda-forge
prompt-toolkit 3.0.5 py_0 conda-forge
protobuf 3.11.4 py37h0a44026_0
psutil 5.7.0 py37h1de35cc_0
ptyprocess 0.6.0 py_1001 conda-forge
py-lief 0.9.0 py37h1413db1_2
pycosat 0.6.3 py37h1de35cc_0
pycparser 2.20 py_0
pygments 2.6.1 py_0 conda-forge
pylint 2.4.4 py37_0
pyopenssl 19.1.0 py37_0
pyparsing 2.4.6 py_0
pyrsistent 0.16.0 py37h9bfed18_0 conda-forge
pysocks 1.7.1 py37_0
python 3.7.7 hc70fcce_0_cpython
python-dateutil 2.8.1 py_0 conda-forge
python-graphviz 0.13.2 pypi_0 pypi
python-libarchive-c 2.8 py37_13
python_abi 3.7 1_cp37m conda-forge
pytorch 1.4.0 py3.7_0 pytorch
pytz 2019.3 py_0
pyyaml 5.3.1 py37h1de35cc_0
pyzmq 18.1.1 py37h0a44026_0
readline 8.0 h1de35cc_0
requests 2.23.0 py37_0
ripgrep 11.0.2 he32d670_0
ruamel_yaml 0.15.87 py37h1de35cc_0
send2trash 1.5.0 py_0 conda-forge
setuptools 46.1.1 py37_0
six 1.14.0 py37_0
soupsieve 2.0 py_0
sqlite 3.31.1 ha441bb4_0
tensorboard 2.0.0 pyhb38c66f_1
terminado 0.8.3 py37hc8dfbb8_1 conda-forge
testpath 0.4.4 py_0 conda-forge
tk 8.6.8 ha441bb4_0
torchvision 0.2.1 py_2 soumith
tornado 6.0.4 py37h9bfed18_1 conda-forge
tqdm 4.43.0 py_0
traitlets 4.3.3 py37hc8dfbb8_1 conda-forge
urllib3 1.25.8 py37_0
wcwidth 0.1.9 pyh9f0ad1d_0 conda-forge
webencodings 0.5.1 py_1 conda-forge
werkzeug 1.0.0 py_0
wheel 0.34.2 py37_0
wrapt 1.12.1 py37h1de35cc_1
xz 5.2.4 h1de35cc_4
yaml 0.1.7 hc338f04_2
zeromq 4.3.2 h6de7cb9_2 conda-forge
zipp 3.1.0 py_0 conda-forge
zlib 1.2.11 h1de35cc_3
zstd 1.3.7 h5bba6e5_0
utils or something like that should be there but its not.
Update:
I've tried what this suggests and it does not work. I conda develop . my package and then when I run the python interpreter and try to import it the import fails. Why?
>>> import my_pkg
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'my_pkg'
I also tried to install it with pip pip install -e and it doesn't find my package either after I go to the interpreter and try to import it. Why is that?

If you look carefully after running conda develop . (where the setup.py file is) you will notice that the command outputs the following:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop .
added /Users/brandBrandoParetoopareto/ultimate-utils/uutils
completed operation for: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
if you then check the sys.path python has then you can that new path has been added:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ python
Python 3.7.7 (default, Mar 26 2020, 10:32:53)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> for p in sys.path:
... print(p)
...
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python37.zip
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/lib-dynload
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/site-packages
/Users/brandBrandoParetoopareto/automl-meta-learning/automl
/Users/brandBrandoParetoopareto/higher
/Users/brandBrandoParetoopareto/ultimate-utils/uutils
you can confirm this by removing it and printing the contents of sys.path:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ conda develop -u .
uninstalled: /Users/brandBrandoParetoopareto/ultimate-utils/uutils
check sys path again:
(automl) brandBrandoParetoopareto~/ultimate-utils/uutils $ python
Python 3.7.7 (default, Mar 26 2020, 10:32:53)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> for p in sys.path:
... print(p)
...
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python37.zip
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/lib-dynload
/Users/brandBrandoParetoopareto/anaconda3/envs/automl/lib/python3.7/site-packages
/Users/brandBrandoParetoopareto/automl-meta-learning/automl
/Users/brandBrandoParetoopareto/higher
now it's gone!
Also, note that conda or python (not sure which) also adds the current path always. This is important to note because when I did import tests outside of the repo I was working it wasn't working but it was inside the repo which seemed very mysterious which I can only attribute to that.
Addendum
to check python sys.path from terminal run that command as a string with python cmd:
python -c "import sys; print(sys.path)"
even better:
python -c "import sys; [print(p) for p in sys.path]"
Original answer: https://stackoverflow.com/a/59903590/1601580

How is it that torch is not installed by torchvision?

Somehow when I do the install it installs torchvision but not torch. Command I am running as dictated from the main website:
conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
then I do conda list but look:
$ conda list
# packages in environment at /home/ubuntu/anaconda3/envs/pytorch_p36:
#
# Name Version Build Channel
alabaster 0.7.10 py36h306e16b_0
anaconda-client 1.6.14 py36_0
anaconda-project 0.8.2 py36h44fb852_0
argparse 1.4.0 <pip>
asn1crypto 0.24.0 py36_0
astroid 1.6.3 py36_0
astropy 3.0.2 py36h3010b51_1
attrs 18.1.0 py36_0
autovizwidget 0.12.7 <pip>
babel 2.5.3 py36_0
backcall 0.1.0 py36_0
backports 1.0 py36hfa02d7e_1
backports.shutil_get_terminal_size 1.0.0 py36hfea85ff_2
bcrypt 3.1.6 <pip>
beautifulsoup4 4.6.0 py36h49b8c8c_1
bitarray 0.8.1 py36h14c3975_1
bkcharts 0.2 py36h735825a_0
blas 1.0 mkl
blaze 0.11.3 py36h4e06776_0
bleach 2.1.3 py36_0
blosc 1.14.3 hdbcaa40_0
bokeh 1.0.4 py36_0
boto 2.48.0 py36h6e4cd66_1
boto3 1.9.146 <pip>
boto3 1.9.134 py_0
botocore 1.12.146 <pip>
botocore 1.12.134 py_0
bottleneck 1.2.1 py36haac1ea0_0
bzip2 1.0.6 h14c3975_5
ca-certificates 2019.1.23 0
cached-property 1.5.1 <pip>
cairo 1.14.12 h8948797_3
certifi 2019.3.9 py36_0
cffi 1.11.5 py36h9745a5d_0
chardet 3.0.4 py36h0f667ec_1
click 6.7 py36h5253387_0
cloudpickle 0.5.3 py36_0
clyent 1.2.2 py36h7e57e65_1
colorama 0.3.9 py36h489cec4_0
contextlib2 0.5.5 py36h6c84a62_0
cryptography 2.3.1 py36hc365091_0
cudatoolkit 10.0.130 0
curl 7.60.0 h84994c4_0
cycler 0.10.0 py36h93f1223_0
cymem 2.0.2 py36hfd86e86_0
cython 0.28.2 py36h14c3975_0
cytoolz 0.9.0.1 py36h14c3975_0
dask 0.17.5 py36_0
dask-core 0.17.5 py36_0
dataclasses 0.6 py_0 fastai
datashape 0.5.4 py36h3ad6b5c_0
dbus 1.13.2 h714fa37_1
decorator 4.3.0 py36_0
defusedxml 0.6.0 py_0
dill 0.2.9 py36_0
distributed 1.21.8 py36_0
docker 3.7.2 <pip>
docker-compose 1.24.0 <pip>
docker-pycreds 0.4.0 <pip>
dockerpty 0.4.1 <pip>
docopt 0.6.2 <pip>
docutils 0.14 py36hb0f60f5_0
entrypoints 0.2.3 py36h1aec115_2
environment-kernels 1.1.1 <pip>
et_xmlfile 1.0.1 py36hd6bccc3_0
expat 2.2.5 he0dffb1_0
fastai 1.0.52 1 fastai
fastcache 1.0.2 py36h14c3975_2
fastprogress 0.1.21 py_0 fastai
filelock 3.0.4 py36_0
flask 1.0.2 py36_1
flask-cors 3.0.4 py36_0
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.3.0 py36h14c3975_0
glib 2.56.1 h000015b_0
glob2 0.6 py36he249c77_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py36hc8893dd_2
graphite2 1.3.11 h16798f4_2
graphviz 2.40.1 h21bd128_2
greenlet 0.4.13 py36h14c3975_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.8.0 py36h989c5e5_3
harfbuzz 1.8.4 hec2c2bc_0
hdf5 1.10.2 hba1933b_1
hdijupyterutils 0.12.7 <pip>
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h2f9c1c0_0
icu 58.2 h9c2bf20_1
idna 2.6 py36h82fb2a8_1
imageio 2.3.0 py36_0
imagesize 1.0.0 py36_0
intel-openmp 2018.0.0 8
ipykernel 4.8.2 py36_0
ipyparallel 6.2.2 <pip>
ipython 6.4.0 py36_0
ipython_genutils 0.2.0 py36hb52b0d5_0
ipywidgets 7.2.1 py36_0
ipywidgets 7.4.0 <pip>
isort 4.3.4 py36_0
itsdangerous 0.24 py36h93cc618_1
jbig 2.1 hdba287a_0
jdcal 1.4 py36_0
jedi 0.12.0 py36_1
jinja2 2.10 py36ha16c418_0
jmespath 0.9.4 py_0
jpeg 9b h024ee3a_2
jsonschema 2.6.0 py36h006f8b5_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.3 py36_0
jupyter_console 5.2.0 py36he59e554_1
jupyter_core 4.4.0 py36h7c827e3_0
jupyterlab 0.32.1 py36_0
jupyterlab_launcher 0.10.5 py36_0
kiwisolver 1.0.1 py36h764f252_0
krb5 1.14.2 hcdc1b81_6
lazy-object-proxy 1.3.1 py36h10fcdad_0
libcurl 7.60.0 h1ad7b7a_0
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libgfortran 3.0.0 1 conda-forge
libgfortran-ng 7.2.0 hdf63c60_3
libpng 1.6.37 hbc83047_0
libprotobuf 3.5.2 hd28b015_1 conda-forge
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h9cfc8f7_4
libstdcxx-ng 8.2.0 hdf63c60_1
libtiff 4.0.9 he85c1e1_1
libtool 2.4.6 h544aabb_3
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.8 h26e45fe_1
libxslt 1.1.32 h1312cb7_0
llvmlite 0.23.1 py36hdbcaa40_0
locket 0.2.0 py36h787c0ad_1
lxml 4.2.1 py36h23eabaa_0
lzo 2.10 h49e0be7_2
markupsafe 1.0 py36hd9260cd_1
matplotlib 2.2.2 <pip>
matplotlib 3.0.3 py36h5429711_0
mccabe 0.6.1 py36h5ad9710_1
mistune 0.8.3 py36h14c3975_1
mkl 2018.0.3 1
mkl-service 1.1.2 py36h17a0993_4
mkl_fft 1.0.6 py36h7dd41cf_0
mkl_random 1.0.1 py36h629b387_0
mock 3.0.5 <pip>
more-itertools 4.1.0 py36_0
mpc 1.0.3 hec55b23_5
mpfr 3.1.5 h11a74b3_2
mpi 1.0 openmpi conda-forge
mpmath 1.0.0 py36hfeacd6b_2
msgpack 0.6.0 <pip>
msgpack-numpy 0.4.3.2 py36_0
msgpack-python 0.5.6 py36h6bb024c_0
multipledispatch 0.5.0 py36_0
murmurhash 1.0.2 py36he6710b0_0
nb_conda 2.2.1 py36_2 conda-forge
nb_conda_kernels 2.2.1 py36_0 conda-forge
nbconvert 5.4.1 py36_3
nbformat 4.4.0 py36h31c9010_0
ncurses 6.1 hf484d3e_0
networkx 2.1 py36_0
ninja 1.8.2 py36h6bb024c_1
nltk 3.3.0 py36_0
nose 1.3.7 py36hcdf7029_2
notebook 5.5.0 py36_0
numba 0.38.0 py36h637b7d7_0
numexpr 2.6.5 py36h7bf3b9c_0
numpy 1.15.4 py36h1d66e8a_0
numpy 1.15.4 <pip>
numpy-base 1.15.4 py36h81de0dd_0
numpydoc 0.8.0 py36_0
nvidia-ml-py3 7.352.0 py_0 fastai
odo 0.5.1 py36h90ed295_0
olefile 0.45.1 py36_0
onnx 1.4.1 <pip>
openmpi 3.1.0 h26a2512_3 conda-forge
openpyxl 2.5.3 py36_0
openssl 1.0.2r h7b6447c_0
packaging 17.1 py36_0
pandas 0.24.2 <pip>
pandas 0.23.0 py36h637b7d7_0
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py36ha6701b7_1
pango 1.42.3 h8589676_0
paramiko 2.4.2 <pip>
parso 0.2.0 py36_0
partd 0.3.8 py36h36fd896_0
patchelf 0.9 hf79760b_2
path.py 11.0.1 py36_0
pathlib2 2.3.2 py36_0
patsy 0.5.0 py36_0
pcre 8.42 h439df22_0
pep8 1.7.1 py36_0
pexpect 4.5.0 py36_0
pickleshare 0.7.4 py36h63277f8_0
pillow 5.2.0 py36heded4f4_0
pip 10.0.1 py36_0
pixman 0.34.0 hceecf20_3
pkginfo 1.4.2 py36_1
plac 0.9.6 py36_0
plotly 2.7.0 <pip>
pluggy 0.6.0 py36hb689045_0
ply 3.11 py36_0
preshed 2.0.1 py36he6710b0_0
prompt_toolkit 1.0.15 py36h17d85b1_0
protobuf 3.5.2 py36hd28b015_0 conda-forge
protobuf3-to-dict 0.1.5 <pip>
psutil 5.4.5 py36h14c3975_0
psycopg2 2.7.5 <pip>
ptyprocess 0.5.2 py36h69acd42_0
py 1.5.3 py36_0
py4j 0.10.7 <pip>
pyasn1 0.4.5 <pip>
pycodestyle 2.4.0 py36_0
pycosat 0.6.3 py36h0a5515d_0
pycparser 2.18 py36hf9f622e_1
pycrypto 2.6.1 py36h14c3975_8
pycurl 7.43.0.1 py36hb7f436b_0
pyflakes 1.6.0 py36h7bd6a15_0
pygal 2.4.0 <pip>
pygments 2.2.0 py36h0d3125c_0
pykerberos 1.2.1 py36h14c3975_0
pylint 1.8.4 py36_0
PyNaCl 1.3.0 <pip>
pyodbc 4.0.23 py36hf484d3e_0
pyopenssl 18.0.0 py36_0
pyparsing 2.2.0 py36hee85983_1
pyqt 5.9.2 py36h751905a_0
pysocks 1.6.8 py36_0
pyspark 2.3.2 <pip>
pytables 3.4.3 py36h02b9ad4_2
pytest 3.5.1 py36_0
pytest-arraydiff 0.2 py36_0
pytest-astropy 0.3.0 py36_0
pytest-doctestplus 0.1.3 py36_0
pytest-openfiles 0.3.0 py36_0
pytest-remotedata 0.2.1 py36_0
python 3.6.5 hc3d631a_2
python-dateutil 2.7.3 py36_0
pytorch 1.1.0 py3.6_cuda10.0.130_cudnn7.5.1_0 pytorch
pytz 2018.4 py36_0
pywavelets 0.5.2 py36he602eb0_0
pyyaml 3.12 py36hafb9ca4_1
pyzmq 17.0.0 py36h14c3975_0
qt 5.9.6 h52aff34_0
qtawesome 0.4.4 py36h609ed8c_0
qtconsole 4.3.1 py36h8f73b5b_0
qtpy 1.4.1 py36_0
readline 7.0 ha6073c6_4
regex 2018.01.10 py36h14c3975_1000 fastai
requests 2.20.0 py36_1000 conda-forge
requests-kerberos 0.12.0 <pip>
rope 0.10.7 py36h147e2ec_0
ruamel_yaml 0.15.35 py36h14c3975_1
s3fs 0.1.5 py36_0
s3transfer 0.2.0 <pip>
s3transfer 0.2.0 py36_0
sagemaker 1.20.1 <pip>
sagemaker-pyspark 1.2.4 <pip>
scikit-image 0.13.1 py36h14c3975_1
scikit-learn 0.19.1 py36h7aa7ec6_0
scikit-learn 0.20.3 <pip>
scipy 1.1.0 py36hfc37229_0
seaborn 0.8.1 py36hfad7ec4_0
send2trash 1.5.0 py36_0
setuptools 39.1.0 py36_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36h7a266c3_0
sip 4.19.8 py36hf484d3e_0
six 1.11.0 py36h372c433_1
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py36h6febd40_0
sortedcollections 0.6.1 py36_0
sortedcontainers 1.5.10 py36_0
spacy 2.0.18 py36hf484d3e_1000 fastai
sparkmagic 0.12.5 <pip>
sphinx 1.7.4 py36_0
sphinxcontrib 1.0 py36h6d0f590_1
sphinxcontrib-websupport 1.0.1 py36hb5cb234_1
spyder 3.2.8 py36_0
SQLAlchemy 1.2.11 <pip>
sqlalchemy 1.2.7 py36h6b74fdf_0
sqlite 3.23.1 he433501_0
statsmodels 0.9.0 py36h3010b51_0
sympy 1.1.1 py36hc6d1c1c_0
tblib 1.3.2 py36h34cf8b6_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h8cadb63_0
texttable 0.9.1 <pip>
thinc 6.12.1 py36h637b7d7_1000 fastai
tk 8.6.8 hbc83047_0
toolz 0.9.0 py36_0
torchvision 0.2.2 py_3 pytorch
tornado 5.0.2 py36_0
tqdm 4.31.1 py36_1
traitlets 4.3.2 py36h674d592_0
typing 3.6.4 py36_0
typing-extensions 3.7.2 <pip>
ujson 1.35 py36h14c3975_0
unicodecsv 0.14.1 py36ha668878_0
unixodbc 2.3.6 h1bed415_0
urllib3 1.23 py36_0
wcwidth 0.1.7 py36hdf4376a_0
webencodings 0.5.1 py36h800622e_1
websocket-client 0.56.0 <pip>
werkzeug 0.14.1 py36_0
wheel 0.31.1 py36_0
widgetsnbextension 3.2.1 py36_0
widgetsnbextension 3.4.2 <pip>
wrapt 1.10.11 py36h28b7045_0
xlrd 1.1.0 py36h1db9f0c_1
xlsxwriter 1.0.4 py36_0
xlwt 1.3.0 py36h7b00a1f_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.2.5 h439df22_0
zict 0.1.3 py36h3a3bf81_0
zlib 1.2.11 ha838bed_2
I was told I do have pytorch installed but my script keeps giving me this error:
$ cat nohup.out
Traceback (most recent call last):
File "high_performing_data_point_models_cifar10.py", line 5, in <module>
import torch
ModuleNotFoundError: No module named 'torch'
does that mean that I need to install it as pytroch and not torch? Is this not weird?
Note I am running this on an AWS instance p3.2xlarge. This keeps happening when I log out and then go back in that my torch package gets missing...?!?! :/
original post: https://discuss.pytorch.org/t/torchvision-installed-but-not-torch/51758
The issue persists even if I open just a python interactive and try to import it:
(pytorch_p36) ubuntu#ip-123-12-21-123:~$ python
Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torch'
>>>
It also happens running the script directly:
(pytorch_p36) ubuntu#ip-123-12-21-123:~/project/folder$ python high_performing_data_point_models_cifar10.py
Traceback (most recent call last):
File "high_performing_data_point_models_cifar10.py", line 5, in <module>
import torch
ModuleNotFoundError: No module named 'torch'
I can't import torchvision either!
$ python
Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torchvision
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torchvision'
>>>

Your conda list command shows that it was run from the environment called automl:
# packages in environment at /home/ubuntu/anaconda3/envs/automl:
However, when you show the commands that you are trying to run, you are doing so from the (pytorch_p36) environment.
You should run your conda install command while inside this pytorch_p36 environment.

Go to the official website and try installing it as said over there. As I just followed the official documentation and it is working fine.
Here is the step though.
conda install pytorch-cpu torchvision-cpu -c pytorch
You can follow the official documentation.
link

It is really easy to miss smth while working with several machines and several conda/python environments. I think it is a good idea to start from the very beginning. Here is installation process that works fine for me.
0. Connect to your aws-instance using SSH or PuTTY.
1. Create conda env named pytorch_p36 with python 3.6 on your aws machine:
user#aws-instance:~$ conda create -n pytorch_p36 python=3.6
2. Activate it:
user#aws-instance:~$ conda activate pytorch_p36
Or with (for older conda versions):
user#aws-instance:~$ source activate pytorch_p36
Now you should see (pytorch_p36) before your shell prompt:
(pytorch_p36) user#aws-instance:~$
3. Go to PyTorch website and choose appropriate installation command via conda. Run it in your shell:
(pytorch_p36) user#aws-instance:~$ conda install pytorch torchvision cudatoolkit=10.0 -c pytorch
4. Verify the installation:
(pytorch_p36) user#aws-instance:~$ conda list
# packages in environment at /home/user/anaconda3/envs/pytorch_p36:
#
# Name Version Build Channel
...
cudatoolkit 10.0.130 0
...
python 3.6.9 h265db76_0
pytorch 1.1.0 py3.6_cuda10.0.130_cudnn7.5.1_0 pytorch
...
torchvision 0.3.0 py36_cu10.0.130_1 pytorch
...
5. Verify the running with nohup:
(pytorch_p36) user#aws-instance:~$ nohup python -c "import torch; import torchvision; print('PyTorch is fine!')" && cat nohup.out
nohup: ignoring input and appending output to 'nohup.out'
PyTorch is fine!

AWS Machine Learning AMI already has pytorch v1.1.0 and torchvision v0.2.2 installed in the predefined pytorch_p36 virtual environment. So you are not required to create new venv and install pytorch each time you log in. All you need is to run :
$ source activate pytorch_p36
(without dollar sign, obviously). Then, if you run pip show torch you will see that it is already there.

Import error of contextily package in python

I installed the package contextily with pip install contextily, it appears when I do conda list
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36h2fc01ae_0
affine 2.2.2 py_0 conda-forge
alabaster 0.7.10 py36h174008c_0
anaconda-client 1.7.2 py36_0
anaconda-navigator 1.9.6 py36_0
anaconda-project 0.8.2 py36h9ee5d53_0
appnope 0.1.0 py36hf537a9a_0
appscript 1.0.1 py36h9e71e49_1
arrow 0.13.1 pypi_0 pypi
asn1crypto 0.24.0 py36_0
astroid 1.6.1 py36_0
astropy 2.0.3 py36h1de35cc_0
attrs 17.4.0 py36_0
autobahn 18.6.1 pypi_0 pypi
babel 2.5.3 py36_0
backports 1.0 py36ha3c1827_1
backports.shutil_get_terminal_size 1.0.0 py36hd7a2ee4_2
beautifulsoup4 4.6.0 py36h72d3c9f_1
bitarray 0.8.1 py36h1de35cc_1
bkcharts 0.2 py36h073222e_0
blas 1.0 mkl
blaze 0.11.3 py36h02e7a37_0
bleach 2.1.2 py36_0
bokeh 0.12.13 py36h2f9c1c0_0
boost-cpp 1.67.0 h3a22d5f_0 conda-forge
boto 2.48.0 py36hdbc59ac_1
boto3 1.9.111 py_0 conda-forge
botocore 1.12.111 py_0 conda-forge
bottleneck 1.2.1 py36hbd380ad_0
branca 0.3.1 pypi_0 pypi
bzip2 1.0.6 hd86a083_4
ca-certificates 2019.3.9 hecc5488_0 conda-forge
cairo 1.14.12 hab642c4_1
cartopy 0.17.0 py36h707127b_1000 conda-forge
certifi 2019.3.9 py36_0 conda-forge
cffi 1.11.4 py36h342bebf_0
chardet 3.0.4 py36h96c241c_1
click 6.7 py36hec950be_0
click-plugins 1.0.4 py_0 conda-forge
cligj 0.5.0 pypi_0 pypi
cloudpickle 0.5.2 py36_1
clyent 1.2.2 py36hae3ad88_0
colorama 0.3.9 py36hd29a30c_0
conda 4.4.10 py36_0
conda-build 3.4.1 py36_0
conda-env 2.6.0 h36134e3_0
conda-verify 2.0.0 py36he837df3_0
contextily 0.99.0 pypi_0 pypi
contextlib2 0.5.5 py36hd66e5e7_0
cryptography 2.1.4 py36h842514c_0
curl 7.58.0 ha441bb4_0
cycler 0.10.0 py36hfc81398_0
cython 0.27.3 py36h6ecb376_0
cytoolz 0.9.0 py36h1de35cc_0
dask 0.16.1 py36_0
dask-core 0.16.1 py36_0
datashape 0.5.4 py36hfb22df8_0
dbus 1.12.2 h5243cc1_1
decorator 4.2.1 py36_0
descartes 1.1.0 pypi_0 pypi
distributed 1.20.2 py36_0
docutils 0.14 py36hbfde631_0
drawnow 0.71.2 pypi_0 pypi
entrypoints 0.2.3 py36hd81d71f_2
et_xmlfile 1.0.1 py36h1315bdc_0
expat 2.2.5 hb8e80ba_0
fastcache 1.0.2 py36h1de35cc_2
filelock 2.0.13 py36hf9de95b_0
fiona 1.8.6 pypi_0 pypi
flask 0.12.2 py36h5658096_0
flask-cors 3.0.3 py36h7387b97_0
folium 0.8.2 pypi_0 pypi
fontconfig 2.12.6 h9850fc5_0
freetype 2.8 h12048fb_1
freexl 1.0.5 h1de35cc_1002 conda-forge
geographiclib 1.49 py_0 conda-forge
geopandas 0.4.1 pypi_0 pypi
geopy 1.18.1 py_0 conda-forge
geos 3.6.2 h0a44026_1004 conda-forge
get_terminal_size 1.0.0 h7520d66_0
gettext 0.19.8.1 h15daf44_3
gevent 1.2.2 py36ha70b9d6_0
giflib 5.1.4 h1de35cc_1001 conda-forge
glib 2.53.6 h33f6a65_2
glob2 0.6 py36h94c9186_0
gmp 6.1.2 hb37e062_1
gmpy2 2.0.8 py36hf9c35bd_2
greenlet 0.4.12 py36hf09ba7b_0
h5py 2.7.1 py36h39cdac5_0
hdf4 4.2.13 0 conda-forge
hdf5 1.10.1 ha036c08_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h2f9c1c0_0
icu 58.2 h4b95b61_1
idna 2.6 py36h8628d0a_1
imageio 2.2.0 py36h5e01289_0
imagesize 0.7.1 py36h3495948_0
intel-openmp 2018.0.0 h8158457_8
ipykernel 4.8.0 py36_0
ipython 6.2.1 py36h3dda519_1
ipython_genutils 0.2.0 py36h241746c_0
ipywidgets 7.1.1 py36_0
isort 4.2.15 py36hceb2a01_0
itsdangerous 0.24 py36h49fbb8d_1
jbig 2.1 h4d881f8_0
jdcal 1.3 py36h1986823_0
jedi 0.11.1 py36_0
jinja2 2.10 py36hd36f9c5_0
jmespath 0.9.3 py_1 conda-forge
jpeg 9b he5867d9_2
json-c 0.12.1 h470a237_1 conda-forge
jsonschema 2.6.0 py36hb385e00_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.2 py36_0
jupyter_console 5.2.0 py36hccf5b1c_1
jupyter_core 4.4.0 py36h79cf704_0
jupyterlab 0.31.5 py36_0
jupyterlab_launcher 0.10.2 py36_0
kealib 1.4.8 hfc679d8_0 conda-forge
kiwisolver 1.0.1 py36h04f5b5a_1002 conda-forge
lazy-object-proxy 1.3.1 py36h2fbbe47_0
libcurl 7.58.0 hf30b1f0_0
libcxx 4.0.1 h579ed51_0
libcxxabi 4.0.1 hebd6815_0
libdap4 3.19.1 0 conda-forge
libedit 3.1 hb4e282d_0
libffi 3.2.1 h475c297_4
libgdal 2.2.2 h3559a57_1
libgfortran 3.0.1 h93005f0_2
libiconv 1.15 hdd342a3_7
libkml 1.3.0 h677b1dd_1008 conda-forge
libnetcdf 4.4.1.1 10 conda-forge
libpng 1.6.34 he12f830_0
libpq 10.6 hbe1e24e_1000 conda-forge
libsodium 1.0.15 hd9e47c5_0
libspatialite 4.3.0a h0a2fa02_18
libssh2 1.8.0 h322a93b_4
libtiff 4.0.9 h0dac147_0
libxml2 2.9.7 hab757c2_0
libxslt 1.1.32 hb819dd2_0
llvmlite 0.21.0 py36hff739e7_0
locket 0.2.0 py36hca03003_1
lxml 4.1.1 py36hef8c89e_1
lzo 2.10 h362108e_2
markupsafe 1.0 py36h3a1e703_1
matplotlib 3.0.3 pypi_0 pypi
mccabe 0.6.1 py36hdaeb55d_0
mercantile 1.0.4 py_0 conda-forge
mistune 0.8.3 py36_0
mkl 2018.0.1 hfbd8650_4
mkl-service 1.1.2 py36h7ea6df4_4
mpc 1.0.3 h7a72875_5
mpfr 3.1.5 h711e7fd_2
mpmath 1.0.0 py36hf1b8295_2
msgpack-python 0.5.1 py36h04f5b5a_0
multipledispatch 0.4.9 py36hc5f92b5_0
munch 2.3.2 pypi_0 pypi
navigator-updater 0.1.0 py36h7aee5fb_0
nbconvert 5.3.1 py36h810822e_0
nbformat 4.4.0 py36h827af21_0
ncurses 6.0 hd04f020_2
networkx 2.1 py36_0
nltk 3.2.5 py36h1190bce_0
nose 1.3.7 py36h73fae2b_2
notebook 5.4.0 py36_0
numba 0.36.2 np114py36hc2f221f_0
numexpr 2.6.4 py36habcfcfe_0
numpy 1.14.2 py36ha9ae307_0
numpydoc 0.7.0 py36he54d08e_0
odo 0.5.1 py36hc1af34a_0
olefile 0.45.1 py36_0
openjpeg 2.3.0 h3bf0609_1003 conda-forge
openpyxl 2.4.10 py36_0
openssl 1.0.2r h1de35cc_0 conda-forge
owslib 0.17.1 py_0 conda-forge
packaging 16.8 py36he5e8135_0
pandas 0.24.1 py36h0a44026_0 conda-forge
pandoc 1.19.2.1 ha5e8f32_1
pandocfilters 1.4.2 py36h3b0b094_1
parso 0.1.1 py36hc90e01c_0
partd 0.3.8 py36hf5c4cb8_0
path.py 10.5 py36h7bcb313_0
pathlib2 2.3.0 py36h877a6d8_0
patsy 0.5.0 py36_0
pcre 8.41 hfb6ab37_1
pep8 1.7.1 py36_0
pexpect 4.3.1 py36_0
pickleshare 0.7.4 py36hf512f8e_0
pillow 5.0.0 py36hfcce615_0
pip 19.0.3 pypi_0 pypi
pixman 0.34.0 h1de35cc_1003 conda-forge
pkginfo 1.4.1 py36h25bf955_0
place 0.5.5 pypi_0 pypi
pluggy 0.6.0 py36hb1d0581_0
ply 3.10 py36h10e714e_0
poppler 0.60.1 hb654a48_0
poppler-data 0.4.9 1 conda-forge
proj 0.1.0 pypi_0 pypi
proj4 4.9.3 h470a237_8 conda-forge
prompt_toolkit 1.0.15 py36haeda067_0
psutil 5.4.3 py36h1de35cc_0
ptyprocess 0.5.2 py36he6521c3_0
py 1.5.2 py36ha69170d_0
pycodestyle 2.3.1 py36h83e8646_0
pycosat 0.6.3 py36hee92d8f_0
pycparser 2.18 py36h724b2fc_1
pycrypto 2.6.1 py36h1de35cc_7
pycurl 7.43.0.1 py36hdbc3d79_0
pyepsg 0.4.0 py_0 conda-forge
pyflakes 1.6.0 py36hea45e83_0
pygments 2.2.0 py36h240cd3f_0
pykdtree 1.3.1 py36h917ab60_1002 conda-forge
pylint 1.8.2 py36_0
pyodbc 4.0.22 py36h0a44026_0
pyopenssl 17.5.0 py36h51e4350_0
pyparsing 2.2.0 py36hb281f35_0
pyproj 1.9.6 pypi_0 pypi
pyqt 5.6.0 py36he5c6137_6
pyserial 3.4 pypi_0 pypi
pyshp 2.1.0 py_0 conda-forge
pysocks 1.6.7 py36hfa33cec_1
pytables 3.4.2 py36hfbd7ab0_2
pytest 3.3.2 py36_0
python 3.6.4 hc167b69_1
python-dateutil 2.6.1 py36h86d2abb_1
python.app 2 py36h54569d5_7
pytz 2017.3 py36hf0bf824_0
pywavelets 0.5.2 py36h2710a04_0
pyyaml 3.12 py36h2ba1e63_1
pyzmq 16.0.3 py36he48b5ad_0
qt 5.6.2 h9975529_14
qtawesome 0.4.4 py36h468c6fb_0
qtconsole 4.3.1 py36hd96c0ff_0
qtpy 1.6.0 py_0
rasterio 0.36.0 py36h01fd17b_1
readline 7.0 hc1231fa_4
requests 2.18.4 py36h4516966_1
rope 0.10.7 py36h68959ac_0
ruamel_yaml 0.15.35 py36h1de35cc_1
s3transfer 0.2.0 py36_0 conda-forge
scikit-image 0.13.1 py36h1de35cc_1
scikit-learn 0.19.1 py36hffbff8c_0
scipy 1.0.0 py36h1de22e9_0
seaborn 0.8.1 py36h595ecd9_0
send2trash 1.4.2 py36_0
setuptools 38.4.0 py36_0
shapely 1.6.4 py36h2e8a847_1000 conda-forge
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36hf20db9d_0
sip 4.18.1 py36h2824476_2
six 1.11.0 py36h0e22d5e_1
snowballstemmer 1.2.1 py36h6c7b616_0
snuggs 1.4.3 py_0 conda-forge
sortedcollections 0.5.3 py36he9c3ed6_0
sortedcontainers 1.5.9 py36_0
sphinx 1.6.6 py36_0
sphinxcontrib 1.0 py36h9364dc8_1
sphinxcontrib-websupport 1.0.1 py36h92f4a7a_1
spyder 3.2.6 py36_0
sqlalchemy 1.2.1 py36h1de35cc_0
sqlite 3.22.0 h3efe00b_0
statsmodels 0.8.0 py36h9c68fc9_0
sympy 1.1.1 py36h7f3cf04_0
tblib 1.3.2 py36hda67792_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h625a49b_0
tk 8.6.7 h35a86e2_3
toolz 0.9.0 py36_0
tornado 4.5.3 py36_0
traitlets 4.3.2 py36h65bd3ce_0
txaio 2.10.0 pypi_0 pypi
typing 3.6.2 py36haa2d9ef_0
unicodecsv 0.14.1 py36he531d66_0
unixodbc 2.3.4 h4cb4dde_1
urllib3 1.22 py36h68b9469_0
vpnotebook 0.1.3 pypi_0 pypi
vpython 7.4.4 pypi_0 pypi
wcwidth 0.1.7 py36h8c6ec74_0
webencodings 0.5.1 py36h3b9701d_1
werkzeug 0.14.1 py36_0
wheel 0.30.0 py36h5eb2c71_1
widgetsnbextension 3.1.0 py36_0
wrapt 1.10.11 py36hc29e774_0
xerces-c 3.2.2 h44e365a_1001 conda-forge
xlrd 1.1.0 py36h336f4a2_1
xlsxwriter 1.0.2 py36h3736301_0
xlwings 0.11.5 py36_0
xlwt 1.2.0 py36h5ad1178_0
xz 5.2.3 h0278029_2
yaml 0.1.7 hc338f04_2
zeromq 4.2.2 ha360ad0_2
zict 0.1.3 py36h71da714_0
zlib 1.2.11 hf3cbc9b_2
when i run it in conda, this error appears:
I
mportError Traceback (most recent call last)
<ipython-input-1-39efe3472e8a> in <module>()
1 import geopandas as gpd
2 import folium
----> 3 import contextily as ctx
/Users/localadmin/anaconda3/lib/python3.6/site-packages/contextily/__init__.py in <module>()
4
5 from . import tile_providers as sources
----> 6 from .place import Place, plot_map
7 from .tile import *
8 from .plotting import add_basemap, add_attribution
/Users/localadmin/anaconda3/lib/python3.6/site-packages/contextily/place.py in <module>()
4 import matplotlib.pyplot as plt
5 from warnings import warn
----> 6 from .tile import howmany, bounds2raster, bounds2img, _sm2ll, _calculate_zoom
7 from .plotting import ATTRIBUTION, INTERPOLATION, ZOOM, add_attribution
8
/Users/localadmin/anaconda3/lib/python3.6/site-packages/contextily/tile.py in <module>()
8 import numpy as np
9 import pandas as pd
---> 10 import rasterio as rio
11 from PIL import Image
12 from cartopy.io.img_tiles import _merge_tiles as merge_tiles
/Users/localadmin/anaconda3/lib/python3.6/site-packages/rasterio/__init__.py in <module>()
13 import warnings
14
---> 15 from rasterio._base import (
16 eval_window, window_shape, window_index, gdal_version)
17 from rasterio.dtypes import (
ImportError: dlopen(/Users/localadmin/anaconda3/lib/python3.6/site-packages/rasterio/_base.cpython-36m-darwin.so, 2): Library not loaded: #rpath/libuuid.1.dylib
Referenced from: /Users/localadmin/anaconda3/lib/libgdal.20.dylib
Reason: image not found
I could not find a post that solves that problem

just install another conda new environment, according to enter link description here. It works for me.

Python 3.7 anaconda environment - import _ssl DLL load fail error

I created anaconda environment with Python=3.7 and have trouble with the error of _ssl and DLL. When I tried to get back to my base environment, I have trouble getting the background processes to complete as shown in the figure below, this goes on forever.
The error:
C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37\python.exe "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\pydevconsole.py" --mode=client --port=63950
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\pydevconsole.py", line 5, in <module>
from _pydev_comm.rpc import make_rpc_client, start_rpc_server, start_rpc_server_and_make_client
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\_pydev_comm\rpc.py", line 4, in <module>
from _pydev_comm.server import TSingleThreadedServer
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\_pydev_comm\server.py", line 4, in <module>
from _shaded_thriftpy.server import TServer
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\server.py", line 9, in <module>
from _shaded_thriftpy.transport import (
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\transport\__init__.py", line 57, in <module>
from .sslsocket import TSSLSocket, TSSLServerSocket # noqa
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\transport\sslsocket.py", line 7, in <module>
import ssl
File "C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37\lib\ssl.py", line 98, in <module>
import _ssl # if we can't import it, let the error propagate
ImportError: DLL load failed: The specified module could not be found.
Process finished with exit code 1
All packages installed with
conda create -n anaconda python=3.7
C:\WINDOWS\system32>conda list
# packages in environment at C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37:
#
# Name Version Build Channel
alabaster 0.7.12 py37_0
anaconda 2018.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-project 0.8.2 py37_0
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37he774522_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37hfa6e2cd_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 3.0.2 py37_0
blosc 1.14.4 he51fdeb_0
bokeh 1.0.2 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h452e1ab_1
bzip2 1.0.6 hfa6e2cd_5
ca-certificates 2018.03.07 0
certifi 2018.11.29 py37_0
cffi 1.11.5 py37h74b6da3_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.6.1 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
comtypes 1.1.7 py37_0
console_shortcut 0.1.1 3
contextlib2 0.5.5 py37_0
cryptography 2.4.2 py37h7a1dbc1_0
curl 7.63.0 h2a8f88b_1000
cycler 0.10.0 py37_0
cython 0.29.2 py37ha925a31_0
cytoolz 0.9.0.1 py37hfa6e2cd_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.25.1 py37_0
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
fastcache 1.0.2 py37hfa6e2cd_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.7 py37_0
freetype 2.9.1 ha9979f8_1
get_terminal_size 1.0.0 h38e98db_0
gevent 1.3.7 py37he774522_1
glob2 0.6 py37_1
greenlet 0.4.15 py37hfa6e2cd_0
h5py 2.8.0 py37h3bdd7fb_2
hdf5 1.10.2 hac2f561_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.6 py37_0
intel-openmp 2019.1 144
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.2.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.4 py37_0
itsdangerous 1.1.0 py37_0
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jinja2 2.10 py37_0
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.3 py37_0
jupyterlab_server 0.2.0 py37_0
keyring 17.0.0 py37_0
kiwisolver 1.0.1 py37h6538335_0
krb5 1.16.1 hc04afaa_7
lazy-object-proxy 1.3.1 py37hfa6e2cd_2
libarchive 3.3.3 h0643e63_5
libcurl 7.63.0 h2a8f88b_1000
libiconv 1.15 h1df5818_7
libpng 1.6.35 h2a8f88b_0
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.0 h7a1dbc1_4
libtiff 4.0.9 h36446d0_2
libxml2 2.9.8 hadb2253_1
libxslt 1.1.32 hf6f1972_0
llvmlite 0.26.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hef2cd61_0
lz4-c 1.8.1.2 h2fa13f4_0
lzo 2.10 h6df0209_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.1.0 py37he774522_0
matplotlib 3.0.2 py37hc8f65d3_0
mccabe 0.6.1 py37_1
menuinst 1.4.14 py37hfa6e2cd_0
mistune 0.8.4 py37he774522_0
mkl 2019.1 144
mkl-service 1.1.2 py37hb782905_5
mkl_fft 1.0.6 py37h6288b17_0
mkl_random 1.0.2 py37h343c172_0
more-itertools 4.3.0 py37_0
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37he980bc4_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.4 py37_0
numba 0.41.0 py37hf9181ef_0
numexpr 2.6.8 py37hdce8814_0
numpy 1.15.4 py37h19fb1c0_0
numpy-base 1.15.4 py37hc3f5095_0
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py37_0
openpyxl 2.5.12 py37_0
openssl 1.1.1a he774522_0
packaging 18.0 py37_0
pandas 0.23.4 py37h830ac7b_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py37_1
parso 0.3.1 py37_0
partd 0.3.9 py37_0
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pickleshare 0.7.5 py37_0
pillow 5.3.0 py37hdc69c19_0
pip 18.1 py37_0
pkginfo 1.4.2 py37_1
pluggy 0.8.0 py37_0
ply 3.11 py37_0
prometheus_client 0.5.0 py37_0
prompt_toolkit 2.0.7 py37_0
psutil 5.4.8 py37he774522_0
py 1.7.0 py37_0
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37hfa6e2cd_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37hfa6e2cd_9
pycurl 7.43.0.2 py37h7a1dbc1_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pylint 2.2.2 py37_0
pyodbc 4.0.25 py37ha925a31_0
pyopenssl 18.0.0 py37_0
pyparsing 2.3.0 py37_0
pyqt 5.9.2 py37h6538335_2
pysocks 1.6.8 py37_0
pytables 3.4.4 py37he6f6034_0
pytest 4.0.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.2.0 py37_0
pytest-openfiles 0.3.1 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.1 h8c8aaf0_6
python-dateutil 2.7.5 py37_0
python-libarchive-c 2.8 py37_6
pytz 2018.7 py37_0
pywavelets 1.0.1 py37h8c2d366_0
pywin32 223 py37hfa6e2cd_1
pywinpty 0.5.5 py37_1000
pyyaml 3.13 py37hfa6e2cd_0
pyzmq 17.1.2 py37hfa6e2cd_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
requests 2.21.0 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37hfa6e2cd_0
scikit-image 0.14.1 py37ha925a31_0
scikit-learn 0.20.1 py37h343c172_0
scipy 1.1.0 py37h29ff71c_2
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
setuptools 40.6.3 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h6538335_0
six 1.12.0 py37_0
snappy 1.1.7 h777316e_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.1.0 py37_0
sphinx 1.8.2 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.2 py37_0
spyder-kernels 0.3.0 py37_0
sqlalchemy 1.2.15 py37he774522_0
sqlite 3.26.0 he774522_0
statsmodels 0.9.0 py37h452e1ab_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.8 hfa6e2cd_0
toolz 0.9.0 py37_0
tornado 5.1.1 py37hfa6e2cd_0
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
urllib3 1.24.1 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.32.3 py37_0
widgetsnbextension 3.4.2 py37_0
win_inet_pton 1.0.1 py37_1
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.10.11 py37hfa6e2cd_2
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwings 0.15.1 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.2.5 he025d50_1
zict 0.1.3 py37_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0

I have answerd this here, to my understanding this error is caused by the missing/misplacement of libcrypto file in anaconda3/DLLs folder:
From anaconda3\Library\bin copy below files and paste them in anaconda3/DLLs:
- libcrypto-1_1-x64.dll
- libssl-1_1-x64.dll

This can be fixed by manually adding in the PATH variables in PyCharm to the console.
Open your Anaconda cmd
Activate your Conda environment
Get the full PATH value by typing echo %PATH%
if you are on Windows 7/can't copy the output, cd the cmd to your desktop and type echo %PATH% > path_val.txt
this will create a txt file so you can copy/paste the values easier.
In PyCharm, go to Settings -> Build, Execution, Deployment -> Console -> Python Console -> click the folder on the right of Environment variables.
Click the plus button to add a new Environment Variable
The name should be PATH
The value is the entire output from the echo %PATH% command above.
Click OK, then apply.

You can try to set system environment variables, like "C:\Python\Anaconda3;C:\Python\Anaconda3\Scripts;
C:\Python\Anaconda3\Library\bin;".
Only "C:\Python\Anaconda3\Scripts;" is not enough, and it works to me.

I had the same issue on Windows 10 Pro x64 and PyCharm CE 2018.3
A solution that worked for me: Re-install Anaconda3 for all users (with Admin priveledges) and choose "add python.exe to Path" (even though it is nor recommended). Then PyCharm connected successfully without this error.
A work around that also worked: Use another environment (pyenv or conda). It worked for me when I faced the same issue on
Some other suggestions I saw on Internet:
run Anaconda3\Scripts>conda update --all
but this threw the HTTP connection error rises, which might be related.

if running under a virtual env (i.e. your have issued the command: conda activate <env_name>)
The files (libcrypto-1_1-x64.dll and libssl-1_1-x64.dll) to copy are found under:
C:\USER<username>.conda\envs<env_name>\Library\bin
They have to be copied into:
C:\USER<username>.conda\envs<env_name>\DLLs

None of the above worked for me, but instead it was a problem with OpenSSL on Windows 10 Enterprise. I fixed it by downloading and installing OpenSSL from here: https://slproweb.com/products/Win32OpenSSL.html

Thanks for the answer!
This works definately.
I have answerd this here, to my understanding this error is caused by the missing/misplacement of libcrypto file in anaconda3/DLLs folder:
From anaconda3\Library\bin copy below files and paste them in anaconda3/DLLs:
libcrypto-1_1-x64.dll
libssl-1_1-x64.dll

In my case the error was a result of spinning pipenv from non-base conda env. Setting variable in PyCharm or moving files in base anaconda structure didn't help, because PyCharm looked for these DLLs in my conda env in the middle.
So I had to move files from base conda structure:
C:\Users<username>\AppData\Local\Continuum\anaconda3\Library\bin
To my conda env from which I spinned the final Pipenv I use in PyCharm:
C:\Users<username>\AppData\Local\Continuum\anaconda3\envs<conda_env_name>\DLLs
The files I had to move to have IPython work correctly:
libcrypto-1_1-x64.dll
libssl-1_1-x64.dll
sqlite3.dll
sqlite3.exe
The reason is that not all libraries/binaries are propagated to the virtual envs. Virtual envs are able to find these files in "root Python". Venvs stay lighter thanks to not copying them.
However, PyCharm gets confused in a setup such as mine, and treats the conda env in the middle as a "root Python", and can't find the libraries/bins. This problem can potentially make itself apparent with other dlls or bins.
It may be worth to move all missing files this way.

another solution: edit python3.7's site.py(in Lib dir):
from os.path import join, abspath, dirname
base_path = dirname(dirname(abspath(__file__)))
os.environ['PATH'] = '%s%s' % (
os.environ['PATH'],
join(base_path, 'Library', 'bin'),
)

I had the same issue and my main IDE is Sublime Text 4.
Environment: Windows 10 with Anaconda
What I needed: from cryptography.fernet import Fernet
The marked solution was unachievable for me and the following answer solved it right away:
pip install --upgrade pip
pip uninstall pyopenssl cryptography
pip install pyopenssl cryptography
Validate with:
python -v -c "from OpenSSL import SSL"
Source: https://groups.google.com/g/qatrack/c/24RB6hesOko?pli=1

Incase someone is searching for Eclipse PyDev, It's same as Rob's answer.
No. 4 can be found at Window -> Preferences -> PyDev -> Interpreters -> Python Interpreters -> Environment -> Click New and add PATH

I have updated to Python 3.8 (with miniconda) and it did not work with Pycharm generating "anaconda-environment-import-ssl-dll-load-fail-error". I have tried several proposals here and tweaked env variables in different way w/o much success.
Finally I have updated to Pycharm 2020.2.3 and it worked like a charm, no tweaks ..

conda create -n anaconda won't install full anaconda packages

I'd like to create a python3.6 env with default anaconda packages. The manual and many online resources say the command is conda create -n py36 python=3.6 anaconda. On other computers that works, but on one particular computer it only installs very few packages. I can't figure out why. I've checked $HOME/anaconda2/env and there's nothing in there.
(ubuntu 16.04, installed from anaconda, not miniconda)
$ conda update anaconda
Solving environment: done
# All requested packages already installed.
$ conda update conda
Solving environment: done
# All requested packages already installed.
$conda create -n py36 python=3.6 anaconda
Solving environment: done
## Package Plan ##
environment location: /home/memo/anaconda2/envs/py36
added / updated specs:
- anaconda
- python=3.6
The following NEW packages will be INSTALLED:
anaconda: custom-py36hbbc8b67_0
ca-certificates: 2018.10.15-ha4d7672_0 conda-forge
certifi: 2018.10.15-py36_1000 conda-forge
libffi: 3.2.1-hfc679d8_5 conda-forge
libgcc-ng: 7.2.0-hdf63c60_3 conda-forge
libstdcxx-ng: 7.2.0-hdf63c60_3 conda-forge
ncurses: 6.1-hfc679d8_1 conda-forge
openssl: 1.0.2p-h470a237_1 conda-forge
pip: 18.1-py36_1000 conda-forge
python: 3.6.6-h5001a0f_3 conda-forge
readline: 7.0-haf1bffa_1 conda-forge
setuptools: 40.5.0-py36_0 conda-forge
sqlite: 3.25.3-hb1c47c0_0 conda-forge
tk: 8.6.8-ha92aebf_0 conda-forge
wheel: 0.32.2-py36_0 conda-forge
xz: 5.2.4-h470a237_1 conda-forge
zlib: 1.2.11-h470a237_3 conda-forge
Proceed ([y]/n)? n
$ conda list
# packages in environment at /home/memo/anaconda2:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py27h08a7f0c_0
absl-py 0.6.1 <pip>
absl-py 0.5.0 <pip>
alabaster 0.7.10 py27he5a193a_0
anaconda custom py27h4a00acb_0
anaconda-client 1.6.9 py27_0
anaconda-navigator 1.8.4 py27_0
anaconda-project 0.8.2 py27h236b58a_0
asn1crypto 0.24.0 py27_0
astor 0.7.1 <pip>
astroid 1.6.1 py27_0
astropy 2.0.3 py27h14c3975_0
attrs 17.4.0 py27_0
audioread 2.1.4 py27_1 conda-forge
babel 2.5.3 py27_0
backports 1.0 py27h63c9359_1
backports.functools_lru_cache 1.4 py27he8db605_1
backports.shutil_get_terminal_size 1.0.0 py27h5bc021e_2
backports.weakref 1.0.post1 <pip>
backports_abc 0.5 py27h7b3c97b_0
beautifulsoup4 4.6.0 py27h3f86ba9_1
bibtexparser 1.0.1 <pip>
bitarray 0.8.1 py27h14c3975_1
bkcharts 0.2 py27h241ae91_0
blas 1.0 mkl
blaze 0.11.3 py27h5f341da_0
bleach 1.5.0 <pip>
bleach 2.1.2 py27_0
blosc 1.14.4 hfc679d8_0 conda-forge
bokeh 0.12.13 py27h5233db4_0
boost 1.59.0 py27_0 menpo
boto 2.48.0 py27h9556ac2_1
bottleneck 1.2.1 py27h21b16a3_0
bzip2 1.0.6 h9a117a8_4
ca-certificates 2018.10.15 ha4d7672_0 conda-forge
cairo 1.14.6 4 conda-forge
cdecimal 2.3 py27h14c3975_3
certifi 2018.10.15 py27_1000 conda-forge
cffi 1.11.4 py27h9745a5d_0
cgal-bindings 1.2 <pip>
chardet 3.0.4 py27hfa10054_1
click 6.7 py27h4225b90_0
cloudpickle 0.5.2 py27_1
clyent 1.2.2 py27h7276e6c_1
colorama 0.3.9 py27h5cde069_0
conda 4.5.11 py27_1000 conda-forge
conda-build 3.4.1 py27_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py27hf052a9d_0
configparser 3.5.0 py27h5117587_0
contextlib2 0.5.5 py27hbf4c468_0
cryptography 2.3.1 py27hdffb7b8_0 conda-forge
cryptography-vectors 2.3.1 py27_1000 conda-forge
curl 7.61.0 h93b3f91_2 conda-forge
cycler 0.10.0 py27hc7354d3_0
cython 0.27.3 py27hc56b35e_0
cytoolz 0.9.0 py27h14c3975_0
dask 0.16.1 py27_0
dask-core 0.16.1 py27_0
datashape 0.5.4 py27hf507385_0
dbus 1.13.0 h3a4f0e9_0 conda-forge
decorator 4.3.0 <pip>
decorator 4.2.1 py27_0
distributed 1.20.2 py27_0
dlib 19.16.0 <pip>
dlib 19.4 py27_0 menpo
docopt 0.6.2 <pip>
docutils 0.14 py27hae222c1_0
dominate 2.3.4 <pip>
dxfwrite 1.2.1 <pip>
entrypoints 0.2.3 py27h502b47d_2
enum34 1.1.6 py27h99a27e9_1
enum34 1.1.6 <pip>
et_xmlfile 1.0.1 py27h75840f5_0
expat 2.2.5 he0dffb1_0
fastcache 1.0.2 py27h14c3975_2
ffmpeg 3.1.3 0 menpo
filelock 2.0.13 py27h61a9c69_0
flask 0.12.2 py27h6d5c1cd_0
flask-cors 3.0.3 py27h1a8a27f_0
flickr-api 0.6.1 <pip>
fontconfig 2.12.1 4 conda-forge
freetype 2.7 1 conda-forge
funcsigs 1.0.2 <pip>
funcsigs 1.0.2 py27h83f16ab_0
functools32 3.2.3.2 py27h4ead58f_1
future 0.17.1 py27_0 anaconda
futures 3.2.0 py27h7b459c0_0
futures 3.2.0 <pip>
gast 0.2.0 <pip>
geomstats 1.5 <pip>
get_terminal_size 1.0.0 haa9412d_0
gettext 0.19.8.1 h5e8e0c9_1 conda-forge
gevent 1.2.2 py27h475ea6a_0
glib 2.51.4 0 conda-forge
glob2 0.6 py27hcea9cbd_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py27h4cf3fa8_2
graphite2 1.3.10 hf63cedd_1
greenlet 0.4.12 py27hac09c53_0
grin 1.2.1 py27_4
grpcio 1.15.0 <pip>
grpcio 1.16.0 <pip>
gst-plugins-base 1.8.0 0 conda-forge
gstreamer 1.8.0 1 conda-forge
h5py 2.8.0 <pip>
h5py 2.8.0 py27hb794570_1 conda-forge
harfbuzz 1.4.3 0 conda-forge
hdf5 1.10.2 hc401514_1 conda-forge
heapdict 1.0.0 py27_2
html5lib 0.9999999 <pip>
html5lib 1.0.1 py27h5233db4_0
httplib2 0.11.3 <pip>
icu 58.2 hfc679d8_0 conda-forge
idna 2.6 py27h5722d68_1
idna 2.7 <pip>
imageio 2.4.1 py_0 conda-forge
imagesize 0.7.1 py27hd17bf80_0
imutils 0.5.1 <pip>
intel-openmp 2018.0.0 hc7b2577_8
ipaddress 1.0.19 py27_0
ipykernel 4.8.0 py27_0
ipython 5.4.1 py27_2
ipython_genutils 0.2.0 py27h89fb69b_0
ipywidgets 7.1.1 py27_0
isort 4.2.15 py27hcfa4749_0
itsdangerous 0.24 py27hb8295c1_1
jbig 2.1 hdba287a_0
jdcal 1.3 py27h2cc5433_0
jedi 0.11.1 py27_0
jinja2 2.10 py27h4114e70_0
joblib 0.12.5 py_0 conda-forge
jpeg 9c h470a237_1 conda-forge
jsonschema 2.6.0 py27h7ed5aa4_0
jupyter 1.0.0 py27_4
jupyter_client 5.2.2 py27_0
jupyter_console 5.2.0 py27hc6bee7e_1
jupyter_core 4.4.0 py27h345911c_0
jupyterlab 0.31.5 py27_0
jupyterlab_launcher 0.10.2 py27_0
Keras 2.2.2 <pip>
Keras-Applications 1.0.6 <pip>
Keras-Preprocessing 1.0.5 <pip>
kiwisolver 1.0.1 py27_1 conda-forge
krb5 1.14.6 0 conda-forge
lazy-object-proxy 1.3.1 py27h682c727_0
libcurl 7.61.1 heec0ca6_0
libedit 3.1.20170329 haf1bffa_1 conda-forge
libffi 3.2.1 hd88cf55_4
libgcc 7.2.0 h69d50b8_2 conda-forge
libgcc-ng 8.2.0 hdf63c60_1 anaconda
libgfortran 3.0.0 1
libgfortran-ng 7.2.0 h9f7466a_2
libiconv 1.15 h470a237_3 conda-forge
libopenblas 0.2.20 h9ac9557_7
libopus 1.2.1 hb9ed12e_0
libpng 1.6.34 hb9fc6fc_0
librosa 0.6.2 py_0 conda-forge
libsodium 1.0.15 hf101ebd_0
libssh2 1.8.0 h5b517e9_2 conda-forge
libstdcxx-ng 8.2.0 hdf63c60_1 anaconda
libtiff 4.0.7 1 conda-forge
libtool 2.4.6 h544aabb_3
libuuid 2.32.1 h470a237_2 conda-forge
libvpx 1.6.1 h888fd40_0
libxcb 1.12 hcd93eb1_4
libxml2 2.9.8 h422b904_5 conda-forge
libxslt 1.1.32 h88dbc4e_2 conda-forge
linecache2 1.0.0 py27_0 conda-forge
llvmlite 0.23.0 py27_1 conda-forge
locket 0.2.0 py27h73929a2_1
lws 1.2 <pip>
lxml 4.1.1 py27hdd00cef_0
lzo 2.10 h49e0be7_2
Markdown 3.0.1 <pip>
markupsafe 1.0 py27h97b2822_1
matplotlib 2.1.0 py27_0 conda-forge
mccabe 0.6.1 py27h0e7c7be_1
mido 1.2.9 <pip>
mistune 0.8.3 py27_0
mkl 2018.0.3 1
mkl-service 1.1.2 py27hb2d42c5_4
mkl_fft 1.0.5 py27_0 conda-forge
mkl_random 1.0.1 py27_0 conda-forge
mock 2.0.0 <pip>
moviepy 0.2.3.5 <pip>
mpc 1.0.3 hec55b23_5
mpfr 3.1.5 h11a74b3_2
mpmath 1.0.0 py27h9669132_2
msgpack-python 0.5.1 py27h6bb024c_0
multipledispatch 0.4.9 py27h9b5f95a_0
navigator-updater 0.2.0 py27_0
nbconvert 5.3.1 py27he041f76_0
nbformat 4.4.0 py27hed7f2b2_0
ncurses 6.1 hfc679d8_1 conda-forge
networkx 2.1 py27_0
ninja 1.8.2 h2d50403_1 conda-forge
nltk 3.2.5 py27hec5f4de_0
nose 1.3.7 py27heec2199_2
notebook 5.4.0 py27_0
numba 0.38.1 py27_0 conda-forge
numexpr 2.6.6 py27_0 conda-forge
numpy 1.15.4 <pip>
numpy 1.15.3 py27h1d66e8a_0
numpy 1.14.5 <pip>
numpy-base 1.15.3 py27h81de0dd_0
numpy-stl 2.7.0 <pip>
numpydoc 0.7.0 py27h9647a75_0
oauth2 1.9.0.post1 <pip>
odo 0.5.1 py27h9170de3_0
olefile 0.45.1 py27_0
openblas 0.2.20 8 conda-forge
opencv-contrib-python 3.4.3.18 <pip>
opencv-python 3.4.3.18 <pip>
openpyxl 2.4.10 py27_0
openssl 1.0.2p h470a237_1 conda-forge
packaging 16.8 py27h5e07c7c_1
pandas 0.23.0 py27h637b7d7_0
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py27h428e1e5_1
pango 1.40.4 0 conda-forge
parso 0.1.1 py27h718acc2_0
partd 0.3.8 py27h4e55004_0
patchelf 0.9 hf79760b_2
path.py 10.5 py27hefe4bee_0
pathlib2 2.3.0 py27h6e9d198_0
patsy 0.5.0 py27_0
pbr 5.1.0 <pip>
pbr 4.2.0 <pip>
pcre 8.39 1
pep8 1.7.1 py27_0
pexpect 4.3.1 py27_0
pickleshare 0.7.4 py27h09770e1_0
Pillow 5.3.0 <pip>
Pillow 5.2.0 <pip>
pillow 4.3.0 py27_1 conda-forge
pip 9.0.1 py27ha730c48_4
pixman 0.34.0 h470a237_3 conda-forge
pkginfo 1.4.1 py27hee1a9ad_1
pluggy 0.6.0 py27h1f4f128_0
ply 3.10 py27hd6d9ae5_0
plyfile 0.6 <pip>
prompt_toolkit 1.0.15 py27h1b593e1_0
protobuf 3.6.1 <pip>
psutil 5.4.3 py27h14c3975_0
ptyprocess 0.5.2 py27h4ccb14c_0
py 1.5.2 py27h203d672_0
PyAudio 0.2.11 <pip>
pycairo 1.10.0 py27_0
pycodestyle 2.3.1 py27h904819d_0
pycosat 0.6.3 py27ha4109ae_0
pycparser 2.18 py27hefa08c5_1
pycrypto 2.6.1 py27h14c3975_7
pycurl 7.19.0 py27_0 anaconda
pyflakes 1.6.0 py27h904a57d_0
pygame 1.9.4 <pip>
pyglet 1.3.2 <pip>
pygments 2.2.0 py27h4a8b6f5_0
pylint 1.8.2 py27_0
pymesh2 0.2.0 <pip>
pyodbc 4.0.22 py27hf484d3e_0
PyOpenGL 3.1.0 <pip>
pyopenssl 17.5.0 py27hcee3be0_0
pyOSC 0.3.5b5294 <pip>
pyparsing 2.2.0 py27hf1513f8_1
pyqt 5.6.0 py27h8210e8a_7 conda-forge
pyqtgraph 0.10.0 py27h28b3542_3 anaconda
pysocks 1.6.7 py27he2db6d2_1
pytables 3.4.4 py27h4f72b40_1 conda-forge
pytest 3.3.2 py27_0
python 2.7.11 0
python-dateutil 2.6.1 py27h4ca5741_1
python-rtmidi 1.1.2 <pip>
python-utils 2.3.0 <pip>
python-xlib 0.23 <pip>
pytorch 0.4.1 py27__9.0.176_7.1.2_2 pytorch
pytz 2017.3 py27h001bace_0
pywavelets 0.5.2 py27hecda097_0
pyxhook 1.0.0 <pip>
PyYAML 3.13 <pip>
pyyaml 3.12 py27h2d70dd7_1
pyzmq 17.1.0 <pip>
pyzmq 16.0.3 py27hc579512_0
qt 5.6.2 3 conda-forge
qtawesome 0.4.4 py27hd7914c3_0
qtconsole 4.3.1 py27hc444b0d_0
qtpy 1.3.1 py27h63d3751_0
readline 6.2 2
requests 2.19.1 <pip>
requests 2.18.4 py27hc5b0589_1
resampy 0.2.0 py27_1 conda-forge
rope 0.10.7 py27hfe459b0_0
ruamel_yaml 0.15.35 py27h14c3975_1
scandir 1.6 py27hf7388dc_0
scikit-image 0.14.0 py27hf484d3e_1 anaconda
scikit-learn 0.20.0 py27h4989274_1
scipy 1.1.0 <pip>
scipy 1.1.0 py27hfa4b5c9_1
seaborn 0.8.1 py27h633ea1e_0
send2trash 1.4.2 py27_0
setuptools 39.1.0 <pip>
setuptools 38.4.0 py27_0
simplegeneric 0.8.1 py27_2
singledispatch 3.4.0.3 py27h9bcb476_0
sip 4.18 py27_0
six 1.11.0 py27h5f960f1_1
six 1.11.0 <pip>
sk-video 1.1.10 <pip>
smop 0.41 <pip>
snowballstemmer 1.2.1 py27h44e2768_0
sortedcollections 0.5.3 py27h135218e_0
sortedcontainers 1.5.9 py27_0
sphinx 1.6.6 py27_0
sphinxcontrib 1.0 py27h1512b58_1
sphinxcontrib-websupport 1.0.1 py27hf906f22_1
spyder 3.2.6 py27_0
sqlalchemy 1.2.1 py27h14c3975_0
sqlite 3.13.0 1 conda-forge
ssl_match_hostname 3.5.0.1 py27h4ec10b9_2
statsmodels 0.8.0 py27hc87d62d_0
subprocess32 3.2.7 py27h373dbce_0
sympy 1.1.1 py27hc28188a_0
tblib 1.3.2 py27h51fe5ba_0
tensorboard 1.11.0 <pip>
tensorflow-gpu 1.11.0 <pip>
tensorflow-hub 0.1.1 <pip>
tensorflowjs 0.6.1 <pip>
termcolor 1.1.0 <pip>
terminado 0.8.1 py27_1
testpath 0.3.1 py27hc38d2c4_0
tk 8.5.19 2 conda-forge
toolz 0.9.0 py27_0
torchfile 0.1.0 py_0 conda-forge
torchfile 0.1.0 <pip>
torchvision 0.2.1 py27_1 pytorch
tornado 5.1 <pip>
tornado 4.5.3 py27_0
tqdm 4.28.1 py27h28b3542_0 anaconda
traceback2 1.4.0 py27_0 conda-forge
traitlets 4.3.2 py27hd6ce930_0
typing 3.6.2 py27h66f49e2_0
unicodecsv 0.14.1 py27h5062da9_0
unittest2 1.1.0 py_0 conda-forge
unixodbc 2.3.4 hc36303a_1
urllib3 1.22 py27ha55213b_0
urllib3 1.23 <pip>
visdom 0.1.8.4 <pip>
vispy 0.5.3 py27_0 conda-forge
wcwidth 0.1.7 py27h9e3e1ab_0
webencodings 0.5.1 py27hff10b21_1
websocket-client 0.48.0 <pip>
websocket-client 0.48.0 py_0 conda-forge
Werkzeug 0.14.1 <pip>
werkzeug 0.14.1 py27_0
wheel 0.32.2 <pip>
wheel 0.30.0 py27h2bc6bb2_1
wheel 0.32.0 <pip>
widgetsnbextension 3.1.0 py27_0
wrapt 1.10.11 py27h04f6869_0
x264 20131218 0 conda-forge
xlrd 1.1.0 py27ha77178f_1
xlsxwriter 1.0.2 py27h12cbc6b_0
xlwt 1.3.0 py27h3d85d97_0
xorg-kbproto 1.0.7 h470a237_2 conda-forge
xorg-libice 1.0.9 h470a237_4 conda-forge
xorg-libsm 1.2.2 h8c8a85c_6 conda-forge
xorg-libx11 1.6.6 h470a237_0 conda-forge
xorg-libxext 1.3.3 h470a237_4 conda-forge
xorg-libxrender 0.9.10 h470a237_2 conda-forge
xorg-renderproto 0.11.1 h470a237_2 conda-forge
xorg-xextproto 7.3.0 h470a237_2 conda-forge
xorg-xproto 7.0.31 h470a237_7 conda-forge
xz 5.2.4 h470a237_1 conda-forge
yaml 0.1.7 had09818_2
yarg 0.1.9 <pip>
zeromq 4.2.2 hbedb6e5_2
zict 0.1.3 py27h12c336c_0
zlib 1.2.11 ha838bed_2
$ conda config --show
add_anaconda_token: True
add_pip_as_python_dependency: True
aggressive_update_packages:
- ca-certificates
- certifi
- openssl
allow_non_channel_urls: False
allow_softlinks: False
always_copy: False
always_softlink: False
always_yes: None
anaconda_upload: None
auto_update_conda: True
changeps1: True
channel_alias: https://conda.anaconda.org
channel_priority: True
channels:
- conda-forge
- defaults
client_ssl_cert: None
client_ssl_cert_key: None
clobber: False
create_default_packages: []
custom_channels:
pkgs/r: https://repo.anaconda.com
home/memo/anaconda2/conda-bld: file://
pkgs/main: https://repo.anaconda.com
pkgs/pro: https://repo.anaconda.com
pkgs/free: https://repo.anaconda.com
custom_multichannels:
local: ["file:///home/memo/anaconda2/conda-bld"]
defaults: ["https://repo.anaconda.com/pkgs/main", "https://repo.anaconda.com/pkgs/free", "https://repo.anaconda.com/pkgs/r", "https://repo.anaconda.com/pkgs/pro"]
default_channels:
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/free
- https://repo.anaconda.com/pkgs/r
- https://repo.anaconda.com/pkgs/pro
disallowed_packages: []
download_only: False
envs_dirs:
- /home/memo/anaconda2/envs
- /home/memo/.conda/envs
force: False
json: False
local_repodata_ttl: 1
max_shlvl: 2
migrated_channel_aliases: []
no_dependencies: False
non_admin_enabled: True
notify_outdated_conda: True
offline: False
override_channels_enabled: True
path_conflict: clobber
pinned_packages: []
pkgs_dirs:
- /home/memo/anaconda2/pkgs
- /home/memo/.conda/pkgs
proxy_servers: {}
quiet: False
remote_connect_timeout_secs: 9.15
remote_max_retries: 3
remote_read_timeout_secs: 60.0
report_errors: None
rollback_enabled: True
safety_checks: warn
shortcuts: True
show_channel_urls: None
ssl_verify: True
track_features: []
use_index_cache: False
use_pip: True
verbosity: 0
whitelist_channels: []

It seems that the problem is that conda-forge appears first in the channel list. You can remove this channel with
conda config --remove channels conda-forge

While removing Conda Forge from the global config will get around the particular issue, it could impact future solves on existing envs that had previously installed from Conda Forge. Instead, one can enforce the anaconda channel just for this particular env creation:
conda create -n py36 -c anaconda --override-channels python=3.6 anaconda