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The Big O
In "The Big O," Sahil Malik demystifies Big O notation, highlighting its importance in understanding algorithm efficiency through time and space complexity. Drawing from his experiences as a self-taught programmer, Sahil emphasizes how Big O serves as a practical tool to predict scalability issues in software development. Using relatable analogies and real-world coding examples, he explains various complexity classes (e.g., O(1), O(n), O(n^2)), trade-offs in algorithm design, and pitfalls of hidden inefficiencies. Sahil advocates optimizing for time complexity while balancing space constraints, empowering developers to write scalable, efficient code and join the "cool kids club" of software engineering.
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Running Large Language Models Locally Using Ollama
In his article "Running Large Language Models Locally Using Ollama," Wei-Meng Lee explores the advantages of running large language models (LLMs) directly on personal hardware using Ollama, a platform designed to simplify local deployment and management of AI models. He highlights the benefits of local LLM usage, including enhanced data privacy, reduced costs, offline accessibility, and improved control over model performance and updates—advantages that cloud-based services may not always provide. The article offers a step-by-step guide on using Ollama's desktop and command-line interfaces, integrating models from Hugging Face, and customizing model behavior through Modelfiles. Lee also delves into hardware requirements, storage management, and the process of converting models to GGUF format, providing developers with practical insights for harnessing the power of LLMs locally while maintaining data ownership and operational flexibility.
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That Was Then, This Is Now: How Newer C# Language Features Solve Old Problems
Matthew Hess reflects on his rediscovery of C# after a multi-year hiatus, highlighting how newer language features elegantly address longstanding programming challenges. Through practical examples, he explores innovations such as target-typed constructors, string interpolation, null conditionals, value tuples, pattern matching switch expressions, collection initializers, and enhanced property syntax. These advancements improve code readability, conciseness, and expressiveness while simplifying common tasks and reducing error-prone patterns. While acknowledging the merit of older coding styles in certain contexts, Hess advocates for leveraging these modern features to make C# programming more efficient and enjoyable. The article serves as both a tutorial and a celebration of C#'s evolution.
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Remote Debugging Using Mounted Code
In "Remote Debugging Using Mounted Code," Bill Catlan introduces a robust method for enhancing remote development workflows by leveraging rclone mount paired with WinFSP to create local file system mounts for remote targets. This approach ensures seamless integration of local development tools, such as IDEs, AI assistants, and debugging environments, with remote runtime systems—ranging from web hosting platforms to cloud infrastructure and containerized applications. By avoiding traditional file synchronization pitfalls and eliminating the need for resource-intensive remote components like VS Code Server, Catlan demonstrates how developers can achieve a unified, efficient, and full-featured debugging experience across diverse remote environments without compromising performance or accessibility.
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