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env-conda.yml
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env-conda.yml
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name:
channels:
- defaults
dependencies:
- appnope=0.1.0=py36hf537a9a_0
- backcall=0.1.0=py36_0
- blas=1.0=mkl
- bleach=2.1.3=py36_0
- ca-certificates=2018.03.07=0
- certifi=2018.4.16=py36_0
- dbus=1.13.2=h760590f_1
- decorator=4.3.0=py36_0
- entrypoints=0.2.3=py36hd81d71f_2
- expat=2.2.5=hb8e80ba_0
- gettext=0.19.8.1=h15daf44_3
- glib=2.56.1=h35bc53a_0
- html5lib=1.0.1=py36h2f9c1c0_0
- icu=58.2=h4b95b61_1
- intel-openmp=2018.0.0=8
- ipykernel=4.8.2=py36_0
- ipython=6.4.0=py36_0
- ipython_genutils=0.2.0=py36h241746c_0
- ipywidgets=7.2.1=py36_0
- jedi=0.12.0=py36_1
- jinja2=2.10=py36hd36f9c5_0
- jpeg=9b=he5867d9_2
- jsonschema=2.6.0=py36hb385e00_0
- jupyter=1.0.0=py36_4
- jupyter_client=5.2.3=py36_0
- jupyter_console=5.2.0=py36hccf5b1c_1
- jupyter_core=4.4.0=py36h79cf704_0
- libcxx=4.0.1=h579ed51_0
- libcxxabi=4.0.1=hebd6815_0
- libedit=3.1.20170329=hb402a30_2
- libffi=3.2.1=h475c297_4
- libgfortran=3.0.1=h93005f0_2
- libiconv=1.15=hdd342a3_7
- libpng=1.6.34=he12f830_0
- libsodium=1.0.16=h3efe00b_0
- markupsafe=1.0=py36h3a1e703_1
- mistune=0.8.3=py36h1de35cc_1
- mkl=2018.0.2=1
- mkl_fft=1.0.1=py36h917ab60_0
- mkl_random=1.0.1=py36h78cc56f_0
- nbconvert=5.3.1=py36h810822e_0
- nbformat=4.4.0=py36h827af21_0
- ncurses=6.1=h0a44026_0
- notebook=5.5.0=py36_0
- numpy=1.14.3=py36h9bb19eb_1
- numpy-base=1.14.3=py36h479e554_1
- openssl=1.0.2o=h26aff7b_0
- pandas=0.23.0=py36h1702cab_0
- pandoc=1.19.2.1=ha5e8f32_1
- pandocfilters=1.4.2=py36h3b0b094_1
- parso=0.2.0=py36_0
- pcre=8.42=h378b8a2_0
- pexpect=4.5.0=py36_0
- pickleshare=0.7.4=py36hf512f8e_0
- pip=10.0.1=py36_0
- prompt_toolkit=1.0.15=py36haeda067_0
- ptyprocess=0.5.2=py36he6521c3_0
- pygments=2.2.0=py36h240cd3f_0
- pyqt=5.9.2=py36h11d3b92_0
- python=3.6.5=hc167b69_1
- python-dateutil=2.7.3=py36_0
- pytz=2018.4=py36_0
- pyzmq=17.0.0=py36h1de35cc_1
- qt=5.9.5=h02808f3_0
- qtconsole=4.3.1=py36hd96c0ff_0
- readline=7.0=hc1231fa_4
- scikit-learn=0.19.1=py36hffbff8c_0
- scipy=1.1.0=py36hcaad992_0
- send2trash=1.5.0=py36_0
- setuptools=39.1.0=py36_0
- simplegeneric=0.8.1=py36_2
- sip=4.19.8=py36h0a44026_0
- six=1.11.0=py36h0e22d5e_1
- sqlite=3.23.1=hf1716c9_0
- terminado=0.8.1=py36_1
- testpath=0.3.1=py36h625a49b_0
- tk=8.6.7=h35a86e2_3
- tornado=5.0.2=py36_0
- traitlets=4.3.2=py36h65bd3ce_0
- wcwidth=0.1.7=py36h8c6ec74_0
- webencodings=0.5.1=py36h3b9701d_1
- wheel=0.31.1=py36_0
- widgetsnbextension=3.2.1=py36_0
- xz=5.2.4=h1de35cc_4
- zeromq=4.2.5=h378b8a2_0
- zlib=1.2.11=hf3cbc9b_2
prefix: /Users/zyxue/Documents/MOOC/stanford-cs229-machine-learning/venv