Matplotlib Custom Colormap: Listed and LinearSegmented
Create custom Matplotlib colormaps with ListedColormap and LinearSegmentedColormap, normalize values, and add a clear colorbar.
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Create custom Matplotlib colormaps with ListedColormap and LinearSegmentedColormap, normalize values, and add a clear colorbar.
Run a module through Python’s import system, use -m pip and -m venv reliably, and understand how working directories affect resolution.
Remove brackets from a Python list for display with join, map, and formatting while preserving the original list and handling mixed values safely.
Learn NumPy reshape 3D to 2D with shape math, -1 inference, C/F order, flattening, ravel, squeeze, and common ValueError fixes.
Detect and handle NumPy positive and negative infinity with isinf, isfinite, sign masks, and documented nan_to_num replacements.
Learn ways to import Python modules from subdirectories using packages, __init__.py, sys.path changes, and safer project structure choices.
Learn counting sort in Python with counts, cumulative counts, stable sorting, negative numbers, complexity, and practical limits.
Use NumPy log2() for scalar and array base-2 logarithms, handle zeros and negatives, use where masks, and change logarithm bases safely.
Calculate NumPy nth roots with np.power and np.cbrt, handle negative inputs, and choose real or complex results deliberately.
Calculate a sum of squares in Python with loops, functions, formulas, NumPy arrays, and residual examples for ranges and input lists.