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Zasper: A Modern and Efficient Alternative to JupyterLab, Built in Go
Supercharged IDE for Data Science. Contribute to zasper-io/zasper development by creating an account on GitHub.
It provides a minimal memory footprint, exceptional speed, and the ability to handle numerous concurrent connections. Python's Event Loop: Ideal for I/O-bound applications that need to handle a lot of asynchronous tasks without blocking. Data Scientists and AI Engineers spend most of their time running Notebooks on IDEs and hence need a robust ecosystem.
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