Project coded in Python using Pandas to look at changes in chase% for batters facing a pitcher first+second time through the order vs. thrid+ times through the order.
Data is pulled from Baseball Savant, and operations were done on the CSV files to pull out the chase% of the batters.
Chase% is stored in a hashtable by the batter ID, allowing for future work to be done on the effect of chase%.
dash-bootstrap-cheatsheet This handy interactive cheatsheet makes it easy to use the Bootstrap 5 classes with your Dash app made with the latest versi
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Visualizing Technical Indicators Using Python and Plotly. Currently facing issues hosting the application on heroku. As soon as I am able to I'll like
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data_dashboards Getting started with Python, Dash and Plot.ly for the Data Dashboards team Getting started MacOS users: # Install the pyenv version ma
stock-graph-python Simple CLI python app to show a stocks graph performance. Made with Matplotlib and Tiingo. Tiingo API Key You will need to add your
Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa
PyNFT A Pythonic NF (non-fungible token) generator built using Samilla and Matplotlib Use python pynft.py [amount] The intention behind this generato
py-self-organizing-maps Simple implementation of self-organizing maps (SOMs) A SOM is an unsupervised method for learning a mapping from a discrete ne
streamlit-dashboards Streamlit dashboard examples - Twitter cashtags, StockTwits, WSB, Charts, SQL Pattern Scanner Tutorial Video https://ww
colorlover Color scales for humans IPython notebook: https://plot.ly/ipython-notebooks/color-scales/ import colorlover as cl from IPython.display impo
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