In two decades, the Python programming language has transformed data science. As a versatile programming language, Python’s SciPy Stack – with NumPy, MatPlotlib and Pandas – has provided a core foundation for transformative machine and deep learning and data science. Revolutionary libraries and platforms like scikit-learn, Tensorflow, Prophet, and Keras, with collaborative research-friendly utilities like the Jupyter Notebook helps Python make the AI world go around.
kdb – the world’s most powerful, lightweight, and efficient time series database and analytics engine – with PyKX offers Python interoperability to accelerate data, math, and analytics-intensive applications, real-time and historical.
To get started and learn how Python interoperates with kdb Insights and kdb Insights Enterprise, our prebuilt Project JupyterHub gives you access to a working Jupyter Notebook pre-loaded with KX software and KX training materials, no installation required. On authenticating your email, you can engage with the short Introduction to PyKX Training Course and test how much more you can do with Python and KX together!
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