In addition to the above asynchronous methods, there are other asynchronous approaches in Python, such as using callback functions or third - party libraries like Gevent. Each method has its own advantages and limitations. For example, threads are suitable for I/O - bound tasks but are limited by the GIL (Global Interpreter Lock); multiprocessing is suitable for CPU - intensive tasks but has higher memory overhead; third - party libraries provide specialized functions and optimizations but may increase the complexity of the project. In contrast, the `async/await` syntax provides a more modern and readable way of asynchronous programming and is currently the recommended method for handling asynchronous operations in Python.
This article comprehensively introduces the HTTP caching mechanism, covering cache types, response statuses, cache control, cache refresh, Revving, cache verification, and Vary responses. In practical applications, a deep understanding and reasonable application of the HTTP caching mechanism can help improve website performance and user experience.
Prisma is regarded as the next-generation ORM (Object Relational Mapping) tool, developed based on TypeScript, which provides powerful type safety. This article will use Koa.js to build a simple web service and combine it with a MySQL database to demonstrate how to implement the operations of creating, reading, updating, and deleting (CRUD) data through Prisma.
A deep dive into Rust traits, covering usage patterns and internal implementation details.
At this point, a request has been sent back to the client via TCP. This article only explores the main processing flow. In fact, the Node.js source code also takes into account more situations, such as timeout handling, the caching mechanism when the `socket` is occupied, special header handling, countermeasures for problems upstream, and more efficient written header querying, etc. These details are all worthy of in-depth study and learning. Through the analysis of the `http` module source code, we can better understand how to use it to build powerful web frameworks.
Overview of traits and trait bounds in Rust for abstraction and generic constraints.
In modern web development, an efficient and flexible routing system is one of the core components of building web applications. The Go programming language is highly favored in the field of web development due to its high performance, simplicity, and powerful standard library. The `net/http` package in Go is the implementation of an HTTP server in the standard library. Although it is powerful, it is relatively low-level. If you want to handle routing like in lightweight web frameworks such as Gin, we can implement a simplified router ourselves. This article will provide a detailed introduction on how to use the `net` package in Go to implement an HTTP server similar to Gin. At the same time, it will delve into HTTP-related knowledge, common routing implementation methods, and how to implement middleware based on this.
Dive into Generic Associated Types: the gateway to higher-kinded types in Rust.
Although the Go language does not directly provide metaprogramming features, with the help of mechanisms and tools such as code generation, reflection, interfaces, and type assertions, developers can achieve metaprogramming effects, manipulate the code during the programming process, improve the level of abstraction of the code, and enhance the understandability and maintainability of the code. However, when using these techniques, it should be noted that they may introduce complexity and increase the performance overhead at runtime. In reflection operations, various potential errors and boundary conditions should be handled carefully to ensure the stability and efficiency of the code.
A comprehensive overview of using generics in Rust functions, structs, enums, and methods.
Fastify is an efficient and fast Node.js web framework designed to provide optimal performance. Although it is relatively new, it has won the favor of many developers due to its high performance and low overhead. Fastify offers a concise development experience, supports fast routing and a plugin architecture, making it easy for developers to build and expand applications.
An in-depth guide to atomic types, operations, and memory ordering in Rust concurrency.
Through an in-depth analysis of stackful and stackless coroutines, we have a clearer understanding of their underlying implementations. Although stackful and stackless coroutines are named according to the context storage mechanism, their essential difference lies in whether they can be suspended in any nested function. This difference determines that stackful coroutines have higher freedom when suspended and are more convenient in terms of being compatible with existing synchronous code; while stackless coroutines, although limited in the freedom of suspension, have higher performance and better memory management capabilities. In practical applications, the appropriate type of coroutine should be selected according to specific needs.
An introduction to Rust's fearless concurrency model with threads, channels, and shared state.
HTTP (HyperText Transfer Protocol) is the most widely used network protocol on the Internet, and all WWW files need to follow this standard. Its original design goal was to provide a method for publishing and receiving HTML pages, which is used to transfer hypertext from a WWW server to a local browser, and it uses port 80 by default. When an HTTP client initiates a request, it will establish a TCP connection to the specified port of the server (port 80 by default).
This article comprehensively and in-depth introduced the detailed details of the `==` operation in Go language, covering the behavior of the `==` operation under different data types, the comparison rules of special types, and the impact brought by uncomparable types. It is hoped that through the elaboration of this article, it can help the majority of developers to more accurately and deeply understand and apply the `==` operation in Go language, and avoid various problems caused by insufficient understanding of it in actual programming.
First steps into concurrent programming in Rust using threads and async
Those who have written Python web applications, especially those who have carried out online deployments, must have heard of the WSGI protocol. It defines the data exchange interface between Python's web servers and web applications. This description may be rather abstract, so let's explain it in detail through practical examples below.
Learn to run multiple Rust Futures concurrently using join!, try_join!, and select! macros.
In 2025, the above backend frameworks have stood firm in the market. Whether you choose Express.js for its simplicity, Nest.js for its structure, Adonis.js for its productivity, or Koa.js for its elegance, choosing the right framework is crucial. It always depends on your requirements. It is essential to understand your project requirements and, based on that, select the appropriate framework. Additionally, keeping an eye on the latest trends, new features of existing frameworks, and new frameworks is crucial for the success of your backend development journey in 2025.
Learn how to use and implement asynchronous streams in Rust using the Stream trait.
Negroni is a very valuable library in Go language HTTP service development. For those who pursue efficient, flexible, and easy-to-maintain Web application development, Negroni is undoubtedly an excellent tool worthy of in-depth understanding and widespread application.
Learn how Rust executes async tasks using Futures, Executors, and the Waker mechanism.
This article introduces the lightweight and powerful routing library `gorilla/mux`. It supports a rich variety of request matching methods, and sub-routes greatly facilitate route management. Since it is compatible with the standard library `net/http`, it can be seamlessly integrated into programs using `net/http` and make use of the middleware resources written for `net/http`. In the next article, we will introduce `gorilla/handlers` — some commonly used middleware.
An introduction to Rust's async/await, explaining Futures, executors, and concurrency with practical examples.
The leapcell library (validator) is very rich in functions and relatively simple and convenient to use. The constraint conditions introduced in this article are just the tip of the iceberg of its powerful functions. This library has a wide range of applications in the field of software development, especially web development. It is recommended that developers have an in-depth understanding and mastery of it to improve the efficiency and accuracy of data validation and ensure the security and stability of the system.
Although the operations and types supported by govaluate are limited, it can still implement some interesting functions. For example, you can write a web service that allows users to write their own expressions, set parameters, and let the server calculate the results.
Format JSON in Golang with `json.MarshalIndent` for better readability.
Go encourages direct field access, using getters only when necessary.
Shallow copy is simple, but deep copy is necessary for reference types.
Bitwise operations in Go improve efficiency in arithmetic, masking, and binary data handling.
Efficiently iterate over maps in Go using `for`-`range`, handling unordered iteration and sorting when needed.
Avoid excessive use of global variables in Go to maintain modularity and testability.
UUID primary keys may cause index fragmentation, slow queries, and storage overhead in MySQL.
`flag` is used to parse command-line options. People with experience using Unix-like systems should be familiar with command-line options. For example, the command `ls -al` lists detailed information about all files and directories in the current directory, where `-al` is the command-line option.
The gopsutil library provides convenience for us to obtain local machine information, and it handles the compatibility issues between different systems well, providing a unified interface. There are also several sub-packages, such as `net` and `docker`, which are not introduced here due to space limitations. Users who are interested can explore them on their own.
Learn how jemalloc optimizes memory management
Guide to installing and managing Go versions using ASDF efficiently.
Efficiently build responsible Go web scrapers using Colly, concurrency, and policy compliance.
Go uses factory functions for struct initialization and validation.
Overview of key Go libraries for developing robust and interactive TUIs.
Go excels in scalability and performance, while Rails suits rapid development.
Guide to implementing and using linked lists in Go.
Overview of Go's graphics libraries for drawing, visualization, and GUI development.
Efficient ways to delete elements from a Golang map.
Learn how to handle command line arguments in Golang using `os.Args`, `flag`, and `pflag`.
An essential guide to navigating Rust’s source code
The interfaces provided by the `database/sql` standard library in the Go language are relatively low-level. This requires us to write a large amount of repetitive code. This substantial amount of boilerplate code is not only cumbersome to write but also error-prone. Sometimes, if you modify the field type, you may need to make changes in many places; if you add a new field, you also need to modify the places where the `select *` query statement was previously used. If there are any omissions, it may lead to a panic during runtime. Even if you use an ORM library, these issues cannot be completely resolved! That's where sqlc comes in! sqlc can generate type-safe and idiomatic Go interface code based on the SQL statements we write, and we just need to call these methods.