Oct-24-2017, 12:12 AM
(This post was last modified: Oct-24-2017, 12:34 AM by BlackHeart.)
Honestly I just used Anaconda because it seemed like it had all the tools I needed. Maybe I should just uninstall it and use the native python that Ubuntu comes with.
Conda list does give me a list in the terminal.
Here are the current packages:
I've got a conda environment for both 2.7 and 3.6
I took the (x) our of xrange for the 3.6 and I'm still getting the same debugging error as I did up top with arrow pointing at the import function. I installed numpy into my conda 3.6 environment using the
Conda list does give me a list in the terminal.
Here are the current packages:
_ipyw_jlab_nb_ext_conf 0.1.0 py36he11e457_0 alabaster 0.7.10 py36h306e16b_0 anaconda custom py36_0 anaconda-client 1.6.5 py36h19c0dcd_0 anaconda-navigator 1.6.8 py36h672ccc7_0 anaconda-project 0.8.0 py36h29abdf5_0 asn1crypto 0.22.0 py36h265ca7c_1 astroid 1.5.3 py36hbdb9df2_0 astropy 2.0.2 py36ha51211e_4 babel 2.5.0 py36h7d14adf_0 backports 1.0 py36hfa02d7e_1 backports.shutil_get_terminal_size 1.0.0 py36hfea85ff_2 beautifulsoup4 4.6.0 py36h49b8c8c_1 bitarray 0.8.1 py36h5834eb8_0 bkcharts 0.2 py36h735825a_0 blaze 0.11.3 py36h4e06776_0 bleach 2.0.0 py36h688b259_0 bokeh 0.12.7 py36h169c5fd_1 boto 2.48.0 py36h6e4cd66_1 bottleneck 1.2.1 py36haac1ea0_0 ca-certificates 2017.08.26 h1d4fec5_0 cairo 1.14.10 h58b644b_4 certifi 2017.7.27.1 py36h8b7b77e_0 cffi 1.10.0 py36had8d393_1 chardet 3.0.4 py36h0f667ec_1 click 6.7 py36h5253387_0 cloudpickle 0.4.0 py36h30f8c20_0 clyent 1.2.2 py36h7e57e65_1 colorama 0.3.9 py36h489cec4_0 conda 4.3.30 py36h5d9f9f4_0 conda-build 3.0.23 py36h1da9bb0_0 conda-env 2.6.0 h36134e3_1 conda-verify 2.0.0 py36h98955d8_0 contextlib2 0.5.5 py36h6c84a62_0 cryptography 2.0.3 py36ha225213_1 curl 7.55.1 hcb0b314_2 cycler 0.10.0 py36h93f1223_0 cython 0.26.1 py36h21c49d0_0 cytoolz 0.8.2 py36h708bfd4_0 dask 0.15.2 py36h9b48dc4_0 dask-core 0.15.2 py36h0f988a8_0 datashape 0.5.4 py36h3ad6b5c_0 dbus 1.10.22 h3b5a359_0 decorator 4.1.2 py36hd076ac8_0 distributed 1.18.3 py36h73cd4ae_0 docutils 0.14 py36hb0f60f5_0 entrypoints 0.2.3 py36h1aec115_2 et_xmlfile 1.0.1 py36hd6bccc3_0 expat 2.2.4 hc00ebd1_1 fastcache 1.0.2 py36h5b0c431_0 filelock 2.0.12 py36hacfa1f5_0 flask 0.12.2 py36hb24657c_0 flask-cors 3.0.3 py36h2d857d3_0 fontconfig 2.12.4 h88586e7_1 freetype 2.8 h52ed37b_0 get_terminal_size 1.0.0 haa9412d_0 gevent 1.2.2 py36h2fe25dc_0 glib 2.53.6 hc861d11_1 glob2 0.5 py36h2c1b292_1 gmp 6.1.2 hb3b607b_0 gmpy2 2.0.8 py36h55090d7_1 graphite2 1.3.10 hc526e54_0 greenlet 0.4.12 py36h2d503a6_0 gst-plugins-base 1.12.2 he3457e5_0 gstreamer 1.12.2 h4f93127_0 h5py 2.7.0 py36he81ebca_1 harfbuzz 1.5.0 h2545bd6_0 hdf5 1.10.1 hb0523eb_0 heapdict 1.0.0 py36h79797d7_0 html5lib 0.999999999 py36h2cfc398_0 icu 58.2 h211956c_0 idna 2.6 py36h82fb2a8_1 imageio 2.2.0 py36he555465_0 imagesize 0.7.1 py36h52d8127_0 intel-openmp 2018.0.0 h15fc484_7 ipykernel 4.6.1 py36hbf841aa_0 ipython 6.1.0 py36hc72a948_1 ipython_genutils 0.2.0 py36hb52b0d5_0 ipywidgets 7.0.0 py36h7b55c3a_0 isort 4.2.15 py36had401c0_0 itsdangerous 0.24 py36h93cc618_1 jbig 2.1 hdba287a_0 jdcal 1.3 py36h4c697fb_0 jedi 0.10.2 py36h552def0_0 jinja2 2.9.6 py36h489bce4_1 jpeg 9b habf39ab_1 jsonschema 2.6.0 py36h006f8b5_0 jupyter 1.0.0 py36h9896ce5_0 jupyter_client 5.1.0 py36h614e9ea_0 jupyter_console 5.2.0 py36he59e554_1 jupyter_core 4.3.0 py36h357a921_0 jupyterlab 0.27.0 py36h86377d0_2 jupyterlab_launcher 0.4.0 py36h4d8058d_0 lazy-object-proxy 1.3.1 py36h10fcdad_0 libedit 3.1 heed3624_0 libffi 3.2.1 h4deb6c0_3 libgcc-ng 7.2.0 hcbc56d2_1 libgfortran-ng 7.2.0 h6fcbd8e_1 libpng 1.6.32 hda9c8bc_2 libsodium 1.0.13 h31c71d8_2 libssh2 1.8.0 h8c220ad_2 libstdcxx-ng 7.2.0 h24385c6_1 libtiff 4.0.8 h90200ff_9 libtool 2.4.6 hd50d1a6_0 libxcb 1.12 he6ee5dd_2 libxml2 2.9.4 h6b072ca_5 libxslt 1.1.29 hcf9102b_5 llvmlite 0.20.0 py36_0 locket 0.2.0 py36h787c0ad_1 lxml 3.8.0 py36h6c6e760_0 lzo 2.10 hc0eb8fc_0 markupsafe 1.0 py36hd9260cd_1 matplotlib 2.0.2 py36h2acb4ad_1 mccabe 0.6.1 py36h5ad9710_1 mistune 0.7.4 py36hbab8784_0 mkl 2018.0.0 hb491cac_4 mkl-service 1.1.2 py36h17a0993_4 mpc 1.0.3 hf803216_4 mpfr 3.1.5 h12ff648_1 mpmath 0.19 py36h8cc018b_2 msgpack-python 0.4.8 py36hec4c5d1_0 multipledispatch 0.4.9 py36h41da3fb_0 navigator-updater 0.1.0 py36h14770f7_0 nbconvert 5.3.1 py36hb41ffb7_0 nbformat 4.4.0 py36h31c9010_0 ncurses 6.0 h06874d7_1 networkx 1.11 py36hfb3574a_0 nltk 3.2.4 py36h1a0979f_0 nose 1.3.7 py36hcdf7029_2 notebook 5.0.0 py36h0b20546_2 numba 0.35.0 np113py36_10 numexpr 2.6.2 py36hdd3393f_1 numpy 1.13.1 py36h5bc529a_2 numpydoc 0.7.0 py36h18f165f_0 odo 0.5.1 py36h90ed295_0 olefile 0.44 py36h79f9f78_0 openpyxl 2.4.8 py36h41dd2a8_1 openssl 1.0.2l h9d1a558_3 packaging 16.8 py36ha668100_1 pandas 0.20.3 py36h842e28d_2 pandoc 1.19.2.1 hea2e7c5_1 pandocfilters 1.4.2 py36ha6701b7_1 pango 1.40.11 hedb6d6b_0 partd 0.3.8 py36h36fd896_0 patchelf 0.9 hf79760b_2 path.py 10.3.1 py36he0c6f6d_0 pathlib2 2.3.0 py36h49efa8e_0 patsy 0.4.1 py36ha3be15e_0 pcre 8.41 hc71a17e_0 pep8 1.7.0 py36h26ade29_0 pexpect 4.2.1 py36h3b9d41b_0 pickleshare 0.7.4 py36h63277f8_0 pillow 4.2.1 py36h9119f52_0 pip 9.0.1 py36h30f8307_2 pixman 0.34.0 ha72d70b_1 pkginfo 1.4.1 py36h215d178_1 ply 3.10 py36hed35086_0 prompt_toolkit 1.0.15 py36h17d85b1_0 psutil 5.2.2 py36h74c8701_0 ptyprocess 0.5.2 py36h69acd42_0 py 1.4.34 py36h0712aa3_1 pycodestyle 2.3.1 py36hf609f19_0 pycosat 0.6.2 py36h1a0ea17_1 pycparser 2.18 py36hf9f622e_1 pycrypto 2.6.1 py36h6998063_1 pycurl 7.43.0 py36h5e72054_3 pyflakes 1.5.0 py36h5510808_1 pygments 2.2.0 py36h0d3125c_0 pylint 1.7.2 py36h484ab97_0 pyodbc 4.0.17 py36h999153c_0 pyopenssl 17.2.0 py36h5cc804b_0 pyparsing 2.2.0 py36hee85983_1 pyqt 5.6.0 py36h0386399_5 pysocks 1.6.7 py36hd97a5b1_1 pytables 3.4.2 py36hdce54c9_1 pytest 3.2.1 py36h11ad3bb_1 python 3.6.2 hdfe5801_15 python-dateutil 2.6.1 py36h88d3b88_1 pytz 2017.2 py36hc2ccc2a_1 pywavelets 0.5.2 py36he602eb0_0 pyyaml 3.12 py36hafb9ca4_1 pyzmq 16.0.2 py36h3b0cf96_2 qt 5.6.2 h974d657_12 qtawesome 0.4.4 py36h609ed8c_0 qtconsole 4.3.1 py36h8f73b5b_0 qtpy 1.3.1 py36h3691cc8_0 readline 7.0 hac23ff0_3 requests 2.18.4 py36he2e5f8d_1 rope 0.10.5 py36h1f8c17e_0 ruamel_yaml 0.11.14 py36ha2fb22d_2 scikit-image 0.13.0 py36had3c07a_1 scikit-learn 0.19.0 py36h97ac459_2 scipy 0.19.1 py36h9976243_3 seaborn 0.8.0 py36h197244f_0 setuptools 36.5.0 py36he42e2e1_0 simplegeneric 0.8.1 py36h2cb9092_0 singledispatch 3.4.0.3 py36h7a266c3_0 sip 4.18.1 py36h51ed4ed_2 six 1.10.0 py36hcac75e4_1 snowballstemmer 1.2.1 py36h6febd40_0 sortedcollections 0.5.3 py36h3c761f9_0 sortedcontainers 1.5.7 py36hdf89491_0 sphinx 1.6.3 py36he5f0bdb_0 sphinxcontrib 1.0 py36h6d0f590_1 sphinxcontrib-websupport 1.0.1 py36hb5cb234_1 spyder 3.2.4 py36hbe6152b_0 sqlalchemy 1.1.13 py36hfb5efd7_0 sqlite 3.20.1 h6d8b0f3_1 statsmodels 0.8.0 py36h8533d0b_0 sympy 1.1.1 py36hc6d1c1c_0 tblib 1.3.2 py36h34cf8b6_0 terminado 0.6 py36ha25a19f_0 testpath 0.3.1 py36h8cadb63_0 tk 8.6.7 h5979e9b_1 toolz 0.8.2 py36h81f2dff_0 tornado 4.5.2 py36h1283b2a_0 traitlets 4.3.2 py36h674d592_0 typing 3.6.2 py36h7da032a_0 unicodecsv 0.14.1 py36ha668878_0 unixodbc 2.3.4 hc36303a_1 urllib3 1.22 py36hbe7ace6_0 wcwidth 0.1.7 py36hdf4376a_0 webencodings 0.5.1 py36h800622e_1 werkzeug 0.12.2 py36hc703753_0 wheel 0.29.0 py36he7f4e38_1 widgetsnbextension 3.0.2 py36hd01bb71_1 wrapt 1.10.11 py36h28b7045_0 xlrd 1.1.0 py36h1db9f0c_1 xlsxwriter 0.9.8 py36hf41c223_0 xlwt 1.3.0 py36h7b00a1f_0 xz 5.2.3 h2bcbf08_1 yaml 0.1.7 h96e3832_1 zeromq 4.2.2 hb0b69da_1 zict 0.1.2 py36ha0d441b_0 zlib 1.2.11 hfbfcf68_1
I've got a conda environment for both 2.7 and 3.6
I took the (x) our of xrange for the 3.6 and I'm still getting the same debugging error as I did up top with arrow pointing at the import function. I installed numpy into my conda 3.6 environment using the
conda install --spyder2 numpycommand.