environment.yml

#conda env create -f environment.yml
#conda env list
#conda env remove --name PythonForAnalytics
#conda env update --file environment.yml
#conda activate PythonForAnalytics
#conda update --all # update all packages
name: msca
channels:
  - defaults
  - conda-forge
dependencies:
  - python=3.6
  - pylint
  - pip     # a more general python package installer
  - openssl # technical infrastructure
  - flask   # web/api framework
  - pyarrow # fast alternative to csv
  # Data science libraries
  - pandas  # dataframe library
  - scikit-learn # collection of machine learning algos
  # Visualization libraries
  - seaborn # charting package which is built on top of matplotlib
  - altair  # charting package which provides a python interface to the vega-lite library
  - bokeh   # charting package
  - bqplot  # charting package from bloomberg
  #- pyviz     # related to holoviz?
  #- holoviz   # meta package which installs holoviews, panel, hvplot, etc.
  # Notebook extensions
  - nb_conda # load conda environments in jupyter
  - rise     # presentations in jupyter
  - tqdm
  - nbtutor # brings pythontutor into jupyter, execute `%load_ext nbtutor` to load extension, `%%nbtutor` to evaluate cell (`%%nbtutor -r` to reset variables)
  - jupyter_contrib_nbextensions #used to be under pip, under conda, doesn't require `jupyter contrib nbextension install ...`
  - jupyter_nbextensions_configurator #enable nb_conda to allow use of custom conda envs
  - pip:
    - wget    # easy way to download files
    #- https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master
    - Flask-Testing
    - nbdime # makes it easy to diff rendered notebooks
    - pixiedust
    #- google-cloud-firestore # to enable firestore for pusblishing student cell contents
    #- lolviz # visualize data structures (only useful for teaching and learning)
    #- kedro #McKinsey data science template