The most comprehensive collection of intermediate level cadCAD methodologies on the web. If you're using cadCAD professionally, this is where you pick up the latest tips&tricks.

See https://www.cadcad.education/course/cadcad-hacks

Contents

Season 1

Hack	Description	Link
The Graph	How to access blockchain data through The Graph from within cadCAD simulations	cadcad-hack-1-the-graph.ipynb
Predator-Prey Sandbox Model	How to use the Predator-Prey “Sandbox” Model	cadcad-hack-2-predator-prey-sandbox-model.ipynb
Plotly Animations	How to create beautifully interactive cadCAD models using Plotly animations	cadcad-hack-3-plotly-animations.ipynb
Ethereum ETL	How to access Ethereum Smart Contract data through BigQuery and Ethereum-ETL inside cadCAD simulations	cadcad-hack-4-ethereum-etl.ipynb
Metadata	How to use metadata on cadCAD Partial State Update Blocks	cadcad-hack-5-metadata.ipynb
Visualization Sliders	How to create beautifully interactive cadCAD models using visualization sliders	cadcad-hack-6-visualization-sliders.ipynb
Live API Data	How to pull historical and live API data into cadCAD	cadcad-hack-7-live-api-data.ipynb
Sensitivity Analysis	How to perform machine learning supported sensitivity analysis on cadCAD simulations	cadcad-hack-8-sensitivity-analysis.ipynb
Exporting Notebooks	How to generate PDFs and web pages from cadCAD notebooks	cadcad-hack-9-exporting-notebooks/
Generating Stochastic Processes	How to generate stochastic processes as part of a cadCAD model	cadcad-hack-10-generating-stochastic-processes.ipynb
NetworkX	How to use NetworkX for creating Agent-Based Models (ABM) in cadCAD	cadcad-hack-11-networkx.ipynb
History Erasing	How to avoid cadCAD memory overflows through history erasing	cadcad-hack-12-history-erasing.ipynb
Visualizing Large-Scale Parameter Sweeps	How to plot simulations involving many parameter sweeps	cadcad-hack-13-visualizing-large-scale-parameter-sweeps.ipynb

Season 2

Hack	Description	Link
Testing Framework	How to use a testing framework for cadCAD	cadcad-hack-15-testing-framework/
Getting Started With radCAD	How to migrate a cadCAD model to radCAD	cadcad-hack-16-radcad/
Using Pandas Queries	How to use Pandas queries to navigate through cadCAD simulations	cadcad-hack-17-pandas-queries.ipynb
Numba	How to use Numba to improve the performance of cadCAD simulations	cadcad-hack-18-numba.ipynb
Command Line Interfaces	How to create command line interfaces for a cadCAD model	cadcad-hack-19-cli/
NetworkX Visualizations	How to visualize complex networks using NetworkX	cadcad-hack-20-networkx-viz.ipynb
Debugging Performance Issues	How debug cadCAD performance issues	cadcad-hack-21-profiling-models.ipynb
Logs for debugging	How to generate cadCAD logs for debugging	cadcad-hack-22-logging.ipynb
Pickle	How to serialize and deserialize Python objects with Pickle	cadcad-hack-23-pickle/
cadCAD Front-ends	How to create cadCAD web front-ends with Dash	cadcad-hack-24-cadcad-frontends/

Environment Setup

For a comprehensive setup tutorial using Anaconda see cadCAD Complete Foundations Bootcamp - Section 2: Environment Setup.

1. Get the Hacks

Clone or download the cadCAD Hacks GitHub repo:

Clone

git clone [email protected]:cadCAD-edu/cadCAD-Hacks.git

Download https://github.com/cadCAD-edu/cadCAD-Hacks/archive/refs/heads/main.zip

2. Install Python Dependencies

Create a Python 3 virtual environment inside the Hacks folder:

cd ./cadCAD-Hacks/
python3 -m venv venv

Activate your virtual environment (operating system dependent, works on macOS/Unix OS):

source venv/bin/activate

Install the Python dependencies from requirements.txt file:

python3 -m pip install -r requirements.txt

3. Create IPython Kernel

Within your virtual environment, create a new IPython kernel called python-cadcad-hacks, which you will select and use in Jupyter:

python3 -m ipykernel install --user --name python-cadcad-hacks --display-name "Python (cadCAD Hacks)"

4. Start Jupyter

We recommend using Jupyter Notebook or Jupyter Lab, but you should be able to use any Jupyter notebook viewing software of your choice.

Jupyter Notebook

Start your Jupyter Notebook environment using the CLI:

jupyter notebook

Or start Jupyter Notebook using another method of your choice.

Jupyter Lab

Jupyter Lab requires a few additional steps to install Plotly:

jupyter labextension install [email protected]

See https://plotly.com/python/getting-started/ for more details.

Contributions

We gladly accept contributions of bug fixes!

1. Create an issue or a PR
2. Describe the issue or bug fix, including all relevant context
3. Add your name to the CONTRIBUTORS.md document along with relevant commits

License

Mozilla Public License 2.0

See LICENSE