Category: python
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How To Containerize Jupyter Kernels With Docker And Apptainer
In this tutorial we’ll look at how to use a containerized Jupyter kernel. The first question one might have is why would we want to containerize a Jupyter kernel? We’re often faced with the problem of having complex dependencies that might be difficult to install on ones system. For example, let’s say we’re using Windows…
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Python Code Optimization: Techniques and Benchmarks
Benchmarking and profiling in Python are essential for optimizing code. While delivering functional code is primary, efficiency is secondary but crucial. Premature optimization can be time-wasting. Effective optimization involves setting benchmarks, profiling for performance bottlenecks, and making iterative changes. Libraries like NumPy and tools like Numba’s JIT compilation can significantly enhance performance.