conda_quant.yaml

# conda env create --force -f conda_quant.yaml
name: quant
channels:
  - conda-forge
  - defaults
dependencies:
  - python = 3.8
  - xeus-python
  - mkl
  - mamba
  # - nomkl
  # - openblas
  - numpy
  - scipy
  - scikit-learn
  - statsmodels
  # - pingouin
  # - fastcluster
  # - pyclustering
  - pyarrow >= 2.0
  - pandas >= 1.1
  - pandas_market_calendars
  # trading_calendars
  - ipython
  - jedi == 0.17.2
  - ipdb
  - jupyterlab < 3.0  
  - jupyterlab-git
  - nbdime
  - matplotlib
  - bokeh
  - dask
  - distributed
  # - modin
  # - pandarallel
  # - swifter
  - prefect[viz, gcp, aws]
  - graphviz
  - joblib
  - tenacity
  - psutil
  - tqdm
  - requests
  - trio
  - fsspec
  - s3fs
  - boto3
  - google-api-python-client
  - pip
  - pip:
    - trio-websocket
    - pandas-ta
    - finta
    - fracdiff
    - pandas-bokeh
    - finplot
    - yellowbrick
    - ray[tune]
    - tune-sklearn
    - pdbpp
    - pdbr
    - pudb
    - ipdb
    # - skranger
    # - ppscore
    # - persist-queue[extra]
    # - dcor

# jupyter labextension install @krassowski/jupyterlab_go_to_definition, jupyterlab-execute-time, @jupyterlab/shortcutui, nbdime-jupyterlab, qgrid2, @jupyterlab/git

# https://github.com/gregversteeg/gaussianize
# https://github.com/gregversteeg/LinearCorex
# https://github.com/gregversteeg/bio_corex
# https://github.com/gregversteeg/corex_topic
# https://github.com/hrayrhar/T-CorEx
# https://github.com/gregversteeg/LinearSieve

# https://github.com/ChongYou/subspace-clustering
  # - progressbar
  # - spams
# https://github.com/padilha/biclustlib
# https://github.com/KronicDeth/biclustering
# https://github.com/Biclustering/biclust
# https://pypi.org/project/SubCMedians

# https://github.com/udellgroup/pyglrm

# pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o
# brew tap adoptopenjdk/openjdk
# brew cask install adoptopenjdk14