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Guide to SSO with cookie, token, and OAuth 2.0-based implementation methods.
The data for this performance comparison is sourced from https://www.techempower.com/benchmarks/#section=data-r18&hw=cl&test=query. This website provides rich and authoritative performance test data for different programming languages and frameworks, providing strong support for our analysis.
An overview of NodeJS's Master-Worker Pattern and how to use it.
How to Host Go Projects, like Gin, for totally FREE
How to Host Rust Projects, like Axum, for totally FREE
Comparison of serverless platforms for Playwright: how to use them to accomplish a typical Playwright task, and their pros and cons.
A concise guide to HTTP caching, explaining forced and negotiated caching with practical examples
1. Gin Features A fast and efficient web framework. It provides a rich set of features such as routing, middleware, parameter binding, JSON/XML rendering, etc.
Effortlessly manage large file uploads with powerful techniques
Decorators provide an efficient and elegant way to enhance the functionality of functions. They can help us achieve functional expansion with minimal code changes. Through the examples in this article, we can see the powerful capabilities and flexible applications of decorators in actual development. Using decorators correctly can make the code more concise, easier to maintain, and enhance code readability and usability. In daily programming, we can flexibly use decorators to optimize the code structure and improve development efficiency according to specific requirements.
Let's talk about true randomness and pseudorandomness.
In computer science, Garbage Collection (abbreviated as GC) is an automatic memory management mechanism. When certain memory space occupied by a program is no longer accessed, the program will return it to the operating system through garbage collection algorithms.
Effortlessly create elegant animations in React using Framer Motion's powerful features.
Manage `.env` files using Node.js native APIs, `dotenv`, or custom parsers based on version.
Guide on removing Conda environments safely and addressing common errors.
A comprehensive guide to mastering AbortController, covering its features, use cases, and advanced applications for efficient asynchronous programming.
As one of the most commonly used facilities in Golang, understanding the source code of channels can help us better understand and use them. At the same time, we will not be overly superstitious and dependent on the performance of channels. There is still much room for optimization in the current design of channels.
Mocking async functions in Python ensures effective, isolated, and performant testing.
Learn PDF manipulation in Python using Fitz for efficient handling and editing.
A Python library for tile-based map manipulation and coverage generation.
Explores Node.js Cluster's core concepts: inter-process communication, load balancing, and multi-process port listening.
Goroutine is a highly distinctive design in the Go programming language and one of its major highlights. Essentially a coroutine, it is the key to achieving parallel computing. Using goroutine is quite straightforward. You can start a coroutine simply by using the `go` keyword, and it runs asynchronously. The program can continue executing the subsequent code without waiting for the goroutine to complete.
Using Chainstack and Python simplifies blockchain development and interaction.
Implement a Python-based momentum strategy and evaluate its performance using backtesting.
How to implement switch statements in Python using dictionaries, if-elif-else, and the modern match statement.
By now, we have analyzed several important functional codes of Starlette. Starlette is an excellent library with a great design concept. It is recommended that you read the Starlette source code by yourself, which will be helpful for writing your own frameworks in the future.
`await` does not implement program pausing and execution through `yield`. Although they have similar capabilities, they have no calling relationship at all and are both Python keywords. `await` is suitable for asynchronous programming scenarios, used to wait for the completion of asynchronous operations, and supports more flexible coroutine management; while `yield` is mainly used in generator functions to implement iterators and lazy evaluation. There are some differences in their application scenarios and syntax, but both provide the ability to pause and resume the control flow.
How error.cause enhances error tracing in JavaScript.
Node.js adopts the event-driven and asynchronous I/O approach, achieving a single-threaded, highly concurrent JavaScript runtime environment. Since a single thread means only one thing can be done at a time, how does Node.js achieve high concurrency and asynchronous I/O with just one thread? This article will explore the single-threaded model of Node.js around this question.
FastAPI is a modern, high-performance web framework. It uses the asynchronous programming features of Python to improve the performance of web applications. Uvicorn, on the other hand, is a high-performance ASGI server implemented with uvloop and httptools, which can handle HTTP requests asynchronously. FastAPI uses Uvicorn as its default web server because Uvicorn is very fast, reliable, and easy to use. It can remain stable and efficient when handling a large number of concurrent connections. In addition, Uvicorn supports new features such as WebSocket and HTTP/2, which align with the modern web development philosophy advocated by FastAPI. Therefore, using Uvicorn as the web server for FastAPI is an excellent choice.
Node.js can now run TypeScript files without additional configuration.
How to achieve nanosecond precision in Node.js for accurate time measurement.
Through an in-depth exploration of the Sharp module, we have not only witnessed its outstanding performance in the field of image processing but also seen how it has greatly improved development efficiency and user experience through a series of practical functions, such as the conversion of JPEG, PNG, WebP, and AVIF formats, image resizing and cropping, rotation and flipping. Statistical data shows that the average file size of pictures processed by Sharp is reduced by about 60%, and during peak hours, the service based on Sharp can process more than 1,000 pictures per minute. These achievements not only reflect the strong strength of Sharp in performance optimization but also provide solid technical support for various application scenarios. Whether it is the image compression and upload needs of start-up e-commerce platforms or the dynamic image processing services of social media platforms, Sharp can handle them well and exceed expectations. In the future, as more developers master and use the advanced functions of Sharp, we have reason to believe that it will show unlimited potential in more fields and promote the creation of visual content to new heights.
Boost SQL efficiency with indexing, JOINs, partitions, and advanced techniques for faster queries and scalable systems.
There are already many backend libraries and frameworks for Node.js on the market. I've used Nest.js for some small projects before. It has comprehensive functions and enables rapid project implementation. However, for my small projects, many of its features are really overkill, and it has a high level of encapsulation, leaving little freedom when writing code.
Step-by-step guide to implementing RBAC permission control using Nest.js with database setup and entity relationships.
Express is an extremely commonly used web server application framework in Node.js. Essentially, a framework is a code structure that adheres to specific rules and has two key characteristics: - It encapsulates APIs, enabling developers to concentrate more on writing business code. - It has established processes and standard specifications.
Let’s dive into all aspects of Go structs.
A 2024 review of cloud database innovations, highlighting vector databases, AI integration, key trends, and industry developments.
In an operating system, each process has a unique process ID, and each thread has its own unique thread ID. Similarly, in the Go language, each Goroutine has its own unique Go routine ID, which is often encountered in scenarios like `panic`. Although Goroutines have inherent IDs, the Go language deliberately does not provide an interface to obtain this ID. This time, we will attempt to obtain the Goroutine ID through the Go assembly language.
How does Mitchell Hashimoto think of Ghostty?
Overall, the benefits of generics can be summarized in three aspects: 1. Types are determined during the compilation period, ensuring type safety. What is put in is what is taken out. 2. Readability is improved. The actual data type is explicitly known from the coding stage. 3. Generics merge the processing code for the same type, improving the code reuse rate and increasing the general flexibility of the program. However, generics are not a necessity for general data types. It is still necessary to carefully consider whether to use generics according to the actual usage situation.
Comparison of serverless platforms for Puppeteer: how to use them to accomplish a typical Puppeteer task, and their pros and cons.
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API, but with performance up to 40 times faster than Martini. If you need smashing performance, get yourself some Gin.
Unlike multithreading, `asyncio` is single-threaded, but the mechanism of its internal event loop allows it to run multiple different tasks concurrently and has greater autonomous control than multithreading.Tasks in `asyncio` will not be interrupted during operation, so the situation of race condition will not occur.Especially in scenarios with heavy I/O operations, `asyncio` has higher operating efficiency than multithreading. Because the cost of task switching in `asyncio` is much smaller than that of thread switching, and the number of tasks that `asyncio` can start is much larger than the number of threads in multithreading. However, it should be noted that in many cases, using `asyncio` requires the support of specific third-party libraries, such as `aiohttp` in the previous example. And if the I/O operations are fast and not heavy, using multithreading can also effectively solve the problem.
Asynchronous I/O is implemented at the bottom layer using "coroutines" and "event loops". "Coroutines" ensure that when the thread encounters marked I/O operations during execution, it doesn't have to wait for the I/O to complete but can pause and let the thread execute other tasks without blocking. "Event loops" use the I/O multiplexing technology, constantly cycling to monitor I/O events. When a certain I/O event is completed, the corresponding callback is triggered, allowing the coroutine to continue execution.
What’s the secret sauce behind FastAPI’s speed? Why does it leave others eating its digital dust?
The article mainly discusses the current situation and development of Flask and FastAPI in the Python framework field. By comparing the adoption of new projects, the number of GitHub stars, and the proportion in official surveys, it shows that FastAPI's popularity has risen and exceeded that of Flask. Looking back at the development of web frameworks, although Flask once had advantages, it is limited by issues like plugin maintenance. FastAPI stands out with its asynchronous design, Pydantic data validation, and ASGI support. It also explains the decline of Flask's popularity from aspects such as community activity and discussion frequency. Finally, it introduces the advantages of the Leapcell platform suitable for deploying both.
This article discusses how to use Apache SpamAssassin, an open-source spam detection tool, to evaluate email spam scores and deploy it as an API for seamless integration into workflows.