Matplotlib Text: Labels, Titles, Annotations, and Coordinates
Add readable Matplotlib text with ax.text, titles, labels, annotations, coordinate systems, styling, zorder, and export-safe layout.
Python Blog: Tutorials, Fixes, and Projects
Browse practical Python tutorials, error fixes, library guides, data science examples, and project ideas from Python Pool.
NumPy Variance: var(), Axis, ddof, and NaN Handling
Calculate variance with NumPy, choose population or sample degrees of freedom, reduce along an axis, and handle missing values without silent statistical errors.
NumPy histogram(): Bins, Counts, and Density
Use NumPy histogram() to choose bins, ranges, density, weights, and edges while interpreting counts and plotting distributions correctly.
NumPy Axis Explained: 0, 1, Negative Axes, and keepdims
Understand NumPy axes with shapes, axis 0 and 1 reductions, negative axes, keepdims, and examples that prevent dimension mistakes.
Python Multiple Constructors: Practical Class Design Patterns
Learn how Python classes handle one __init__ method, alternate constructors with classmethod, inheritance, validation, and factory patterns.
NumPy mgrid: Dense Mesh Grids, Slice Steps, and Memory Tradeoffs
Use NumPy mgrid for dense coordinate grids, understand integer and complex slice steps, compare ogrid and meshgrid, and manage memory.
NumPy digitize(): Bin Values with Edges and Boundaries
Use NumPy digitize to assign values to bins, understand right boundaries, handle out-of-range values, and convert bin indices into labels.
Python Vectors with NumPy: Arrays, Dot Product, and Norms
Work with Python vectors using NumPy arrays, element-wise math, dot products, norms, shapes, broadcasting, and validation.
Knapsack Problem in Python: Dynamic Programming and Tradeoffs
Solve the 0/1 knapsack problem in Python with dynamic programming, capacity states, reconstruction, complexity, and greedy limitations.
Matplotlib Markers: Style plot() and scatter() Points
Customize Matplotlib markers with shape, size, face and edge colors, transparency, scatter sizing, and reusable MarkerStyle examples.