Implementing Logarithmic Scales with matplotlib.pyplot.xscale, matplotlib.pyplot.yscale
How to use closures inside loops in JavaScript
How to crop, resize and flip images with Pillow in Python
JavaScript for Video Processing and Streaming
Working with Sparse Data in scikit-learn
How to convert a JavaScript object to JSON
JavaScript objects are vital for data structuring in web development. This guide covers object creation using literal notation, dynamic properties, nesting, and accessing values. It also explains JSON.stringify() for converting objects to JSON, including handling serialization limits and optional parameters for customization.
Python and Django: Developing Web Applications
How to build models for database interaction in Django in Python
The bridge between Python objects and a database relies on translating a class into a CREATE TABLE statement. Robust ORMs use descriptor objects and metaclasses for schema definition. A migration system then handles schema evolution by comparing models to the database and generating SQL changes.
Clustering and Spatial Analysis with scipy.cluster
Hierarchical clustering limits on large datasets due to O(n²) complexity. K-means scales better, especially with subsampling or scikit-learn’s MiniBatchKMeans for faster clustering. Memory optimization via float32 reduces footprint. Distributed computing with Dask enables large-scale spatial data processing.









