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remove hardcoded requirements
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theocean154 committed May 5, 2022
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2 changes: 1 addition & 1 deletion LICENSE
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Expand Up @@ -186,7 +186,7 @@
same "printed page" as the copyright notice for easier
identification within third-party archives.

Copyright [yyyy] [name of copyright owner]
Copyright 2019 JP Morgan Chase

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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4 changes: 0 additions & 4 deletions README.md
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Expand Up @@ -7,7 +7,6 @@ Python training for business analysts and traders.
[![Contact](https://img.shields.io/badge/Contact-Email-lightgrey?style=flat-square)](mailto:open_source@jpmorgan.com)



## Overview
This course is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.

Expand All @@ -27,6 +26,3 @@ This repository relies on the [Binder](https://mybinder.readthedocs.io/en/latest

## License
This software is licensed under the Apache 2 license. See the [LICENSE](LICENSE) file for details.

Open Source @ JPMorgan Chase 2022

8 changes: 1 addition & 7 deletions binder/postBuild
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Expand Up @@ -7,13 +7,7 @@ python3 -m pip install perspective-python==0.5.1
export NODE_OPTIONS=--max-old-space-size=2048

EXTENSIONS="
@jupyter-widgets/jupyterlab-manager@2.0.0
@jupyter-widgets/jupyterlab-sidecar@0.5.0
@finos/perspective-jupyterlab@0.5.1
ipysheet@0.4.4
jupyter-matplotlib@0.7.2
plotlywidget@4.8.2
qgrid2@1.1.3
@finos/perspective-jupyterlab@1.3.11
"


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106 changes: 49 additions & 57 deletions binder/requirements.txt
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@@ -1,57 +1,49 @@
altair==4.1.0
beautifulsoup4==4.9.1
bokeh==2.0.2
bqplot==0.12.7
ccxt==1.23.1
chart-studio==1.1.0
dash==1.12.0
dash-core-components==1.10.0
dash-html-components==1.0.3
dash-renderer==1.4.1
dash-table==4.7.0
datashader==0.10.0
Faker==2.0.0
holoviews==1.12.5
hvplot==0.4.0
ipydagred3==0.2.5
ipylab==0.3.0
ipyleaflet==0.12.4
ipympl==0.5.6
ipysheet==0.4.4
ipywidgets==7.5.1
jupyterlab==2.2.10
jupyterlab-nbconvert-nocode==0.1.0
jupyterlab-templates==0.2.4
matplotlib==3.1.1
mimesis==3.3.0
nbdime==2.1.1
nbresuse==0.3.6
numba==0.46.0
numpy==1.21.2
openpyxl==3.0.3
pandas==0.25.3
pandoc==1.0.2
panel==0.7.0
papermill==2.1.1
plotly==4.8.2
plotly-express==0.4.1
pyarrow==0.16.0
pyviz-comms==0.7.2
qgrid==1.3.1
requests==2.23.0
scikit-image==0.16.2
scikit-learn==0.21.3
scipy==1.4.1
seaborn==0.10.1
sidecar==0.4.0
spacy==2.2.4
SQLAlchemy==1.3.6
statsmodels==0.10.1
sympy==1.5.1
tensorboard==2.5.0
tensorboard-plugin-wit==1.6.0.post3
tensorflow==2.5.3
tensorflow-estimator==2.5.0
vapeplot==0.0.8
vega==2.5.0
voila==0.1.21
altair
beautifulsoup4
bokeh
bqplot
ccxt
datashader
Faker
holoviews
hvplot
ipydagred3
ipylab
ipyleaflet
ipympl
ipysheet
ipywidgets
jupyterlab>=3,<4
jupyterlab-nbconvert-nocode
jupyterlab-templates
matplotlib
mimesis
nbdime
nbresuse
numba
numpy
openpyxl
pandas>=1
pandoc
panel
papermill
plotly
pyarrow
pyviz-comms
qgrid
requests
scikit-learn
scipy
seaborn
sidecar
spacy
SQLAlchemy
statsmodels
sympy
tensorboard
tensorboard-plugin-wit
tensorflow
tensorflow-estimator
vapeplot
vega
voila

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