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Unlock the power of strict lower triangular matrices in Python! This guide demystifies this essential matrix form, showcasing its application in causal inference, particularly within healthcare treatment sequences. Learn how to extract the strict lower triangular part using pure Python, list comprehensions, and the highly optimized NumPy library. Includes complete, tested code and performance best practices for real-world applications, ensuring your models respect temporal order and prevent data leakage.
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