We’ve just released the Python for Research track on bequant.dev - here!
If you’re new to NumPy, Pandas, or the core machine learning / data analysis libraries in Python, this will be the perfect place to start. The track is designed to help you build the foundations you’ll need for our upcoming Quant Research material - from simulation-based analysis to libraries you’ll need day-to-day on the job as a QR.
Feel free to explore, experiment, and share feedback or suggestions as we continue refining the content. Your input helps us make the learning experience sharper and more aligned with real-world quant research work.