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@@ -7,7 +7,6 @@ Python training for business analysts and traders. | |
[](mailto:[email protected]) | ||
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## 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. | ||
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## License | ||
This software is licensed under the Apache 2 license. See the [LICENSE](LICENSE) file for details. | ||
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Open Source @ JPMorgan Chase 2022 | ||
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@@ -7,13 +7,7 @@ python3 -m pip install perspective-python==0.5.1 | |
export NODE_OPTIONS=--max-old-space-size=2048 | ||
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EXTENSIONS=" | ||
@jupyter-widgets/[email protected] | ||
@jupyter-widgets/[email protected] | ||
@finos/[email protected] | ||
[email protected] | ||
[email protected] | ||
[email protected] | ||
[email protected] | ||
@finos/[email protected] | ||
" | ||
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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 |