Storing JSON in Angular session storage using services for better structure.
Convert JSON files into Excel tables using Power Query tools.
JSON arrays store ordered, mixed-type data for structured information exchange.
A deep dive into inheritance pitfalls and how composition solves them in languages like Go, Rust, and even Java.
This article has deeply explored multithreading programming and asynchronous programming in Python, covering the basic knowledge of the multithreading module (`threading`), code practice, as well as the basic concepts and usage of the asynchronous programming module (`asyncio`). We started from the basics of multithreading, such as the `Thread` class, lock mechanism, thread safety, etc., and gradually demonstrated the application scenarios and precautions of multithreading in practical applications. Through an example, the process of multithreaded image downloading was shown, emphasizing the importance of thread safety and exception handling.
In the practice of Go language programming, the use of `nil` is extremely common. For example, the default type is assigned as `nil`, the `error` return value often uses `return nil`, and multiple types use `if != nil` for judgment, etc. However, regarding the knowledge point of `nil`, developers need to have an in-depth understanding of its essence and related characteristics.
Today, we are going to explore Abstract Base Classes (ABCs) in Python. Although this concept has been around in Python for a long time, in daily development, especially in development scenarios related to LeapCell, many people may not use it frequently, or they may not use it in the most sophisticated way.
By using Rust to optimize Python code, computational performance can be significantly improved. Although Rust has a steeper learning curve, for projects that need to handle a large number of computational tasks, rewriting the key parts of the code in Rust can save a lot of time costs. You can gradually try to use Rust to optimize existing Python projects, starting with a simple functional function and gradually mastering its usage.
A practical guide to simplifying Rust error handling using the anyhow crate.
Neither the monolithic nor the microservices architecture is a "cancer". Instead, they are technical choices in different historical stages and according to different business needs. In actual projects, factors such as business scale, team capabilities, and technical requirements should be comprehensively considered to select the architecture that is most suitable for the current development stage and maintain the flexibility and evolvability of the architecture.
Simple methods to transform JSON into readable HTML tables.
Convert Parquet to JSON easily in Python using Pandas, PyArrow, or DuckDB.
Ways to open, view, and edit JSON files easily.
An overview of Rust error handling tools: anyhow, thiserror, and snafu, with usage examples.
The rich logging tools in the Node.js ecosystem provide developers with a variety of choices, making it easy to implement logging functions in actual projects. However, choosing the right logging library is crucial. It is necessary to comprehensively consider factors such as the specific requirements of the application, performance requirements, deployment environment, and the complexity of log management. Developers should select a logging tool that can accurately record the required data, is easy to analyze and troubleshoot problems, and at the same time does not have too much impact on the application performance, so as to provide strong support for the stable operation and continuous optimization of the project.
Quick guide to using Redis CLI for server interaction and management.
Essential Redis commands for efficient data management and operations.
Simple guide to using Redis efficiently with Python.
Learn how to simplify Rust error handling by creating custom errors with the thiserror crate.
The introduction of Go generics is an important step in the development of the language, improving code reusability and type safety. However, compared with other languages, Go generics still have gaps in functionality and expressive power. The current design is more like a transitional solution and still needs further improvement in the future.
Different ways to list databases in PostgreSQL using CLI, SQL, or GUI tools.
PostgreSQL offers versatile, performance-driven data types for effective database design.
Manage PostgreSQL ports safely by configuring, verifying, and securing connections.
Explore Rust’s unique approach to memory safety, concurrency, and efficient programming.
As the foundation of containers, Docker images essentially represent the content of the container's file system. It is a read-only template used to create Docker containers. From a technical perspective, Docker images adopt a layered structure design. Except for the base image, other images are generated by overlaying new content on top of existing images. The metadata of each layer of the image is stored in a `json` file. This metadata not only describes the static content of the file system but also contains dynamic data information, such as the creation time of the image, build instructions, and so on.
Quick guide to listing and checking users in PostgreSQL.
Different ways to list PostgreSQL tables using `psql`, SQL, or GUI.
Extract specific text using MySQL `SUBSTRING()` for flexible data handling.
A quick dive into Rust’s key concepts, each explained with a short code snippet.
In modern web development, user authentication and authorization are core aspects of building secure applications. JSON Web Token (JWT), with its stateless, cross-platform, and lightweight characteristics, has become one of the most mainstream authentication solutions in front-end and back-end separated applications. As the most popular full-stack framework in the React ecosystem, Next.js provides a powerful middleware mechanism that can efficiently implement request interception and route protection. This article will delve into how to achieve user authentication in Next.js through custom middleware in combination with JWT, ensuring that the requests contain valid `userid` and `username`, and covering the entire process from basic principles to production-level practices.
List all MySQL users using a simple SQL query with proper privileges.
How to use MySQL INSERT efficiently and handle duplicates or large datasets.
Fix SQL syntax issues to resolve MySQL Error 1064 quickly and reliably.
Create structured, reliable tables using MySQL's `CREATE TABLE` syntax and constraints.
Safe and effective techniques for updating data with MySQL's `UPDATE` statement.
Compare two MySQL dates and get the day difference with `DATEDIFF()` function.
A guide to common Rust coding mistakes and how to fix them
In 2025, the field of web development met a milestone——the Django framework officially marked its 20th anniversary. As the most influential full-stack web framework in the Python ecosystem, since the release of its first public version in 2005, Django has always adhered to the design philosophy of "batteries included" and has been driving a revolution in web development efficiency. This article will analyze the iterative path of Django's core functions along the timeline of its version evolution, and conduct technical comparisons with mainstream frameworks such as Ruby on Rails, Spring, and NestJS to showcase its continuously innovative technical genes.
A comprehensive guide to Rust’s powerful pattern matching syntax and its practical use cases.
The key to mastering TypeScript lies in a deep understanding of the design concept of the type system and developing a standardized coding habit. By avoiding the above 16 common issues and reasonably using features such as type declarations, utility types, and generics, you will be able to write more secure and maintainable code and fully leverage the advantages of TypeScript.
MySQL `CREATE TABLE`: structure, constraints, and real-world usage tips.
Extract structured substrings in SQL using delimiters and direction.
Format MySQL dates into readable strings using flexible format specifiers.
Understand how Rust handles compile-time and dynamic type sizes using the Sized trait.
Among the rich variety of Python HTTP client libraries, the most well-known ones are requests, aiohttp and httpx. Without the help of other third-party libraries, requests can only send synchronous requests; aiohttp can only send asynchronous requests; while httpx has the ability to send both synchronous and asynchronous requests.
Learn how to concatenate strings in MySQL using `CONCAT()` and `CONCAT_WS()`.
Type-safe TypeScript dictionaries using index signatures and `Record`.
Guide to disabling JavaScript in Chrome and managing site-specific settings.