In the world of programming, beginners often feel discouraged by the complexity of setting up environments and the steep learning curve of technical skills. In the past, AI-powered coding assistants like Cursor were indeed powerful, but they still posed significant challenges for many: installing software, configuring environments, resolving missing modules—everything felt overwhelming.

In modern knowledge management, **Obsidian** and **Google's NotebookLM** are two widely acclaimed tools. Obsidian is favored for its flexible note-taking and linking features, while NotebookLM is renowned for its AI-driven note analysis. However, due to NotebookLM's limitations on the number of files within a notebook, it's challenging to directly import Obsidian's extensive, fragmented notes.

In day-to-day work, Excel files often need dynamic data updates and complex calculations. If you've struggled with handling Excel data manually, why not let Python take care of it all? This tutorial will guide you on how to use Python's Flask and xlwings libraries to create an API. By sending a simple POST request, you can automate Excel data input and real-time calculations, taking Excel processing to a whole new level.

Cursor is a recently popular AI-based editor built on top of VS Code. Unlike traditional editors, Cursor deeply integrates AI technologies into various functionalities, offering an unprecedented user experience. It not only leverages the powerful plugin ecosystem of VS Code but also enhances the overall usage with AI.

In today's cloud-native era, remote debugging of Java applications, especially those running in Kubernetes clusters, is often considered a challenge. However, with the powerful Kubernetes plugin for Visual Studio Code (VsCode), we can greatly simplify this process and enable remote debugging with ease.

In this era of rapid advancements in generative AI technology, how to leverage large language model (LLM) technology to improve work efficiency has become a crucial topic. Today, we will explore how to effectively use two powerful AI tools within Obsidian—Text Generator and Smart Connections—to significantly enhance your note-taking experience and knowledge management efficiency.

At the early stages of building frontend applications with Next.js, convenient deployment platforms like Vercel are often our first choice. However, as the user base grows, the cost of using Vercel increases accordingly. At this point, migrating your Next.js application to Cloudflare Pages becomes a smart move. Not only can this significantly reduce deployment costs, but it also leverages Cloudflare's edge computing and efficient CDN to dramatically improve global response times, giving your application a major performance boost.

Memory overflows in Java not only cause application crashes but can also lead to potential performance issues. This article provides an in-depth analysis of different types of memory overflows in Java, such as heap overflow, stack overflow, and MetaSpace overflow. It also offers effective troubleshooting tools and solutions to help you improve your application's stability.

In the field of application development, especially within data science and AI applications, selecting the right tools for creating, deploying, and managing applications is crucial. This article explores a new approach to rapidly building and deploying AI web applications using Streamlit and FastAPI, detailing their architecture, working mechanisms, advantages, and practical use cases, along with providing real-world example programs.

Vercel is an incredibly powerful frontend application deployment platform that not only allows you to quickly and easily launch your application but also offers various AI integration features, even enabling AI to automatically generate pages. If your project requires a reliable PostgreSQL database, Supabase is the perfect choice. Supabase provides a convenient JavaScript SDK, making it exceptionally simple to use a database when deploying a Next.js application on Vercel.

Due to restrictions from schools, companies, or other external environments, many people cannot use external closed-source large models like OpenRouter and OpenAI. Recently, many people have been asking how to use their own deployed Ollama model in the Smart Connection plugin of Obsidian. To meet everyone's needs, we have specially created this tutorial to teach you how to seamlessly integrate the Ollama model in the Smart Connection plugin of Obsidian. We hope this guide will provide inspiration and help to make your note-taking system more intelligent and efficient!

It seems that there are always a few projects claiming to have built the "fastest key/value store in the world," sometimes using phrases that are even more outrageous, like the following projects: - Redis: https://github.com/redis/redis - KeyDB: https://github.com/snapchat/keydb - Dragonfly: https://github.com/dragonflydb/dragonfly - Skytable: https://github.com/skytable/skytable

In the realm of high-traffic applications, maintaining data consistency between cache and databases is a pivotal concern. The challenge intensifies when dealing with distributed caching systems like Redis and databases such as MySQL, where each is a leader in its domain. Balancing performance and consistency is a tightrope walk, and here, we delve into strategies that can help you navigate this complex landscape.

Ref: [Supercharge Your Data Processing: Why ClickHouse is a Game-Changer?](https://medium.com/@hunterzhang86/supercharge-your-data-processing-why-clickhouse-is-a-game-changer-dc3e43f23f9e)

Are you often frustrated with drawing diagrams? For example, do you want to draw a flowchart/timing diagram but have no idea where to start? Or maybe you see others quickly drawing beautiful flowcharts while you struggle for a long time and end up being criticized by your superiors. If you have these frustrations, then congratulations, Excalidraw may provide a future answer for us.