Dependency Injection: a Python Way
Python DI patterns for clean, testable code
Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Python applications.
Python DI patterns for clean, testable code
Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Python applications.
Master DI patterns for testable Go code
Dependency injection (DI) is a fundamental design pattern that promotes clean, testable, and maintainable code in Go applications.
Essential shortcuts and magic commands
Jumpstart the Jupyter Notebook productivity with essential shortcuts, magic commands, and workflow tips that will transform your data science and development experience.
Speed up Go tests with parallel execution
Table-driven tests are the idiomatic Go approach for testing multiple scenarios efficiently.
When combined with parallel execution using t.Parallel(), you can dramatically reduce test suite runtime, especially for I/O-bound operations.
Build AI search agents with Python and Ollama
Ollama’s Python library now includes native OLlama web search capabilities. With just a few lines of code, you can augment your local LLMs with real-time information from the web, reducing hallucinations and improving accuracy.
Pick the right vector DB for your RAG stack
Choosing the right vector store can make or break your RAG application’s performance, cost, and scalability. This comprehensive comparison covers the most popular options in 2024-2025.
Build AI search agents with Go and Ollama
Ollama’s Web Search API lets you augment local LLMs with real-time web information. This guide shows you how to implement web search capabilities in Go, from simple API calls to full-featured search agents.
Auto-generate OpenAPI docs from code annotations
API documentation is crucial for any modern application, and for Go APIs Swagger (OpenAPI) has become the industry standard. For Go developers, swaggo provides an elegant solution to generate comprehensive API documentation directly from code annotations.
Master Go code quality with linters and automation
Modern Go development demands rigorous code quality standards. Linters for Go automate the detection of bugs, security vulnerabilities, and style inconsistencies before they reach production.
Master Python code quality with modern linting tools
Python linters are essential tools that analyze your code for errors, style issues, and potential bugs without executing it. They enforce coding standards, improve readability, and help teams maintain high-quality codebases.
Transform LaTeX documents to Markdown efficiently
Converting LaTeX documents to Markdown has become essential for modern publishing workflows, integrating static site generators, documentation platforms, and version control systems while maintaining readability and simplicity.
Flutter's debugging & profiling tools for better apps
Flutter DevTools is the essential companion for every Flutter developer, providing a powerful suite of debugging and performance analysis tools that help you build high-quality applications efficiently.
Build production-ready REST APIs with Go's robust ecosystem
Building high-performance REST APIs with Go has become a standard approach for powering systems at Google, Uber, Dropbox, and countless startups.
Go testing from basics to advanced patterns
Go’s built-in testing package provides a powerful, minimalist framework for writing unit tests without external dependencies. Here are the testing fundamentals, project structure, and advanced patterns to build reliable Go applications.
Build maintainable Python apps with SOLID design patterns
Clean Architecture has revolutionized how developers build scalable, maintainable applications by emphasizing separation of concerns and dependency management.
Privacy-preserving systems with zero-knowledge proofs
Zero-knowledge architecture represents a paradigm shift in how we design privacy-preserving systems.