Extending Pillow‘s ImageFilter module with custom filters unlocks powerful image processing capabilities—ranging from edge detection to color grading via 3D lookup tables. This guide covers building convolution kernels, 3D LUT transforms, and integrating NumPy for per-pixel operations, with performance tips like Pillow-SIMD and multi-threading.
How to optimize django database queries
Efficient database access is critical for Django applications at scale. This guide shows you how to identify and eliminate common performance pitfalls—such as the N+1 query problem—and apply advanced ORM features, indexing, and caching strategies to dramatically reduce query counts and latency.
How to solve TypeError: ‘set’ object is not subscriptable
This is the article where I’ll show you how to solve TypeError: ‘set’ object is not subscriptable in Python.
Resolving TypeError: Navigating Unsupported Operand Types for +
Encountering a TypeError: unsupported operand type(s) for + in Python is a common issue, especially for beginners. This error occurs when you attempt to use the addition operator (+) with data types that are not compatible for addition. This tutorial will explain the common scenarios that cause this error and provide clear solutions.
Introduction to XGBoost in Python
XGBoost is an efficient and widely used machine learning library that is an implementation of gradient boosting. It’s known for its speed and performance, especially in competition scenarios. Here’s how you can get started with XGBoost in your Python environment.
Working with Time Zones in Python Using Zoneinfo
Python’s zoneinfo module, introduced in Python 3.9, offers a robust solution for dealing with time zones. It provides access to the IANA time zone database, which is the industry standard for time zone information. Here’s how you can use the zoneinfo module in your Python applications.
How to Calculate the Factorial of an Array in Numpy
You will learn how to calculate the factorial of an array in Numpy.
How to Build Custom Security Middleware
Custom security middleware in Django allows you to enforce application-wide policies such as authentication, rate limiting, CSRF enhancements, and audit logging at the HTTP layer. This guide covers design patterns, implementation, and configuration for robust security middleware.
How to Implement JWT Authentication with Custom Middleware Security
JSON Web Tokens (JWT) provide stateless, secure authentication for REST APIs. Combining JWT with custom middleware enables advanced security patterns—such as request validation, rate limiting, and role-based access control—at the middleware layer. This guide uses Django REST Framework (DRF) and djangorestframework-simplejwt to implement robust JWT authentication and middleware-based security.
How to create custom bokeh widgets
Custom widgets empower you to extend Bokeh‘s functionality beyond built-in models by writing small TypeScript/JavaScript components that integrate seamlessly with Python. This guide walks through setting up your development environment, building a widget, packaging it, and deploying to Bokeh server or standalone documents.
How to Scale Bokeh Applications for Production
Scaling Bokeh applications to support many concurrent users and large data workloads requires robust architectural patterns: multi-process servers, load balancing for WebSockets, container orchestration, and autoscaling. This guide consolidates production strategies and best practices to ensure your Bokeh apps remain responsive and reliable under heavy traffic.
How to Implement Server-Side Memory Management in Bokeh
Effective server-side memory management is crucial for stable, scalable Bokeh applications in production. This guide covers configuration options, custom cleanup hooks, and containerization strategies to ensure Bokeh servers gracefully release memory and avoid leaks when serving multiple users.
How to Identify Memory Issues in Bokeh Applications
Memory issues in Bokeh applications can manifest as browser crashes, slow rendering, server instability, or gradual RAM consumption growth—especially when using Jupyter notebooks, large datasets, or complex interactive dashboards. This comprehensive guide provides actionable techniques for identifying, diagnosing, and resolving memory problems using proven Python profiling tools and Bokeh-specific debugging strategies.
How to optimize bokeh memory usage
Bokeh is a powerful Python library for interactive data visualization, but apps at scale can suffer from memory leaks and excessive RAM usage—especially when used with Holoviews, Panel, Datashader, large dataframes, or custom session logic. This article provides actionable techniques for professional developers to minimize Bokeh server memory consumption, grounded in real-world debugging and best-practice Continue reading
Handling Large File Transfers with Paramiko (Optimization Techniques)
Transferring large files with Paramiko requires optimization. This tutorial covers techniques for efficient transfers. It improves transfer speed and reliability.