NumPy Infinity: np.inf, isinf(), and nan_to_num()
Detect and handle NumPy positive and negative infinity with isinf, isfinite, sign masks, and documented nan_to_num replacements.
Python Blog: Tutorials, Fixes, and Projects
Browse practical Python tutorials, error fixes, library guides, data science examples, and project ideas from Python Pool.
Import Python Code from a Subdirectory: Packages, Paths, and -m
Import Python modules from a subdirectory using packages, __init__.py, absolute and relative imports, PYTHONPATH, and python -m without fragile path hacks.
Counting Sort in Python: Linear-Time Sorting with Range Checks
Implement counting sort in Python for bounded integers with frequency arrays, negative values, stability choices, memory limits, and complexity tradeoffs.
NumPy log2(): Base-2 Logarithms, Zeros, and Masks
Use NumPy log2() for scalar and array base-2 logarithms, handle zeros and negatives, use where masks, and change logarithm bases safely.
Nth Root in Python with NumPy: np.power() and np.cbrt()
Calculate NumPy nth roots with np.power and np.cbrt, handle negative inputs, and choose real or complex results deliberately.
Sum of Squares in Python: Loops, Formulas, and NumPy
Calculate a sum of squares in Python with generator expressions, formulas, math.fsum, NumPy arrays, and a clear distinction from squaring a sum.
python-bitcoinlib: Safe Educational Bitcoin Data Examples
Learn python-bitcoinlib basics for Bitcoin data structures, scripts, serialization, and test networks while keeping private keys and real funds out of experiments.
Python Tilde (~): Bitwise Invert Explained
Understand Python’s tilde operator as integer bitwise inversion, including the -(x + 1) rule and custom __invert__ methods.
List Shape in Python: Rectangular, Ragged, and NumPy Arrays
Find the shape of Python lists with len, validate nested rows, distinguish ragged data, and convert rectangular lists to NumPy arrays safely.
Randomly Select From a List in Python: choice, sample, and choices
Randomly select one or more Python list items with choice(), sample(), choices(), or secrets.choice(), including empty-list and weighted-selection rules.