Add xlrd to the environment

Author: gjbex

environment.yml

@@ -16,3 +16,4 @@ dependencies:
   - seaborn
   - shapely
   - sqlalchemy
+  - xlrd

source-code/pandas/patient_data_tmpl.ipynb renamed to hands-on/patient_data.ipynb

@@ -4,7 +4,7 @@
 @EXPLICIT
 https://repo.anaconda.com/pkgs/main/linux-64/_libgcc_mutex-0.1-main.conda
 https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-mkl.conda
-https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2019.9.11-hecc5488_0.tar.bz2
+https://repo.anaconda.com/pkgs/main/linux-64/ca-certificates-2019.10.16-0.tar.bz2
 https://repo.anaconda.com/pkgs/main/linux-64/intel-openmp-2019.4-243.conda
 https://repo.anaconda.com/pkgs/main/linux-64/libgfortran-ng-7.3.0-hdf63c60_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/libstdcxx-ng-9.1.0-hdf63c60_0.conda
@@ -27,7 +27,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/libuuid-1.0.3-h1bed415_2.conda
 https://repo.anaconda.com/pkgs/main/linux-64/libxcb-1.13-h1bed415_1.conda
 https://repo.anaconda.com/pkgs/main/linux-64/lz4-c-1.8.1.2-h14c3975_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/ncurses-6.1-he6710b0_1.conda
-https://conda.anaconda.org/conda-forge/linux-64/openssl-1.1.1d-h516909a_0.tar.bz2
+https://repo.anaconda.com/pkgs/main/linux-64/openssl-1.1.1d-h7b6447c_3.tar.bz2
 https://repo.anaconda.com/pkgs/main/linux-64/pcre-8.43-he6710b0_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/pixman-0.38.0-h7b6447c_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/tbb-2018.0.5-h6bb024c_0.conda
@@ -66,7 +66,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/python-3.7.5-h0371630_0.conda
 https://repo.anaconda.com/pkgs/main/noarch/attrs-19.3.0-py_0.tar.bz2
 https://repo.anaconda.com/pkgs/main/linux-64/backcall-0.1.0-py37_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/cairo-1.14.12-h8948797_3.conda
-https://conda.anaconda.org/conda-forge/linux-64/certifi-2019.9.11-py37_0.tar.bz2
+https://repo.anaconda.com/pkgs/main/linux-64/certifi-2019.9.11-py37_0.tar.bz2
 https://repo.anaconda.com/pkgs/main/linux-64/cfitsio-3.470-hb7c8383_2.conda
 https://conda.anaconda.org/conda-forge/linux-64/chardet-3.0.4-py37_1003.tar.bz2
 https://repo.anaconda.com/pkgs/main/linux-64/click-7.0-py37_0.conda
@@ -110,6 +110,7 @@ https://conda.anaconda.org/conda-forge/noarch/toolz-0.10.0-py_0.tar.bz2
 https://repo.anaconda.com/pkgs/main/linux-64/tornado-6.0.3-py37h7b6447c_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/wcwidth-0.1.7-py37_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/webencodings-0.5.1-py37_1.conda
+https://repo.anaconda.com/pkgs/main/linux-64/xlrd-1.2.0-py37_0.conda
 https://repo.anaconda.com/pkgs/main/linux-64/beautifulsoup4-4.8.1-py37_0.tar.bz2
 https://conda.anaconda.org/conda-forge/linux-64/cffi-1.13.2-py37h8022711_0.tar.bz2
 https://repo.anaconda.com/pkgs/main/noarch/click-plugins-1.1.1-py_0.tar.bz2

python_for_data_science_linux64_conda_specs.txt

@@ -8,6 +8,7 @@ to create it.  There is some material not covered in the presentation as well.
 * Python version: at least 3.6
 * Packages (names listed that can be used with `pip` or `conda` to install):
   * pandas
+  * xlrd
   * seaborn
   * holoviews
   * sqlalchemy