#boolean-indexing

NumPy Boolean Indexing: Memory-Efficient Array Filtering for Data Preprocessing

NumPy boolean indexing filters large arrays 10-100x faster than loops with predictable memory overhead. For a 10M element array, use (arr > -2.0) & (arr < 2.0) with parentheses for complex conditions. Always verify result memory fits your pipeline budget.