Articles
How to Convert a String to JSON in JavaScript, Python, and Java
Convert strings to JSON safely using built-in or trusted libraries.
How to Compare JSON: A Practical Guide
Efficiently compare JSON using tools, normalization, and automation.
How to Read JSON in Python
Read and handle JSON data in Python using the `json` module.
Aspect-Oriented Programming (AOP) in Go
Exploring AOP principles and how to implement them in Go using Gin middleware and function wrappers.
Sequelize vs TypeORM: Which JavaScript ORM Should You Choose?
In summary, **Sequelize** is suitable for projects that pursue rapid development, flexible APIs, and extensive community support; **TypeORM** is more suitable for TypeScript projects and large applications that require strong type safety guarantees.
Peewee: The Most Graceful ORM in Python History
Peewee is a powerful and lightweight Python ORM, which is very suitable for use on cloud service platforms like Leapcell. Through the introduction in this article, we have learned about the basic query operations and advanced query techniques of Peewee, and demonstrated it in combination with the actual scenarios of the Leapcell platform. Compared with SQLAlchemy, Peewee has obvious advantages in lightweight design, performance, flexibility, and API conciseness. Whether developing small applications or large-scale systems, Peewee can help developers perform database operations efficiently and is an ideal choice for Python developers.
Tortoise ORM: The Next-Gen Python ORM Everyone’s Talking About
Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) for Python, inspired by Django ORM. It borrows the design concept of Django ORM. It not only supports the processing of traditional tabular data but also can efficiently manage relational data. In terms of performance, it is not inferior to other Python ORMs.
Understanding `json.dumps()` in Python
Convert and customize JSON strings using Python's `json.dumps()` function.
Understanding JSON File Viewers: Tools for Efficient Data Visualization
JSON viewers help visualize, edit, and manage structured JSON data easily.
Introduction to nlohmann/json: JSON for Modern C++
Modern C++ library for simple and powerful JSON manipulation.
Higher-Order Functions in Go
An introduction to higher-order functions with practical examples in Go.
How to Convert JSON to TypeScript Interfaces
Convert JSON to TypeScript for type safety and validation.
Understanding JSON: A Guide with Sample Examples
A practical introduction to JSON format with clear examples.
How to Escape Strings in JSON
How to safely escape special characters in JSON strings.
The Trap of nil in Go Interface
Explains why Go interface values with nil content may not equal nil.
Next.js Guide: Server Actions and Stateless Session Management
With the release of the widely popular App Router, Next.js has introduced an important new feature: Server Actions. Server Actions are designed to assist with server-side data operations. By reducing the dependence on client-side JavaScript, they gradually enhance form functionality. With this feature, developers can create powerful web applications using JavaScript and React without relying on traditional REST APIs.
Understanding JSON and JSON Schema
JSON structures data; JSON Schema enforces and documents it.
How to Convert XML to JSON: A Practical Guide
Quick and flexible methods to convert XML into JSON.
How to Convert YAML to JSON: A Practical Guide
Convert YAML to JSON easily using code, tools, or web apps.
Go 1.24's omitzero Tag Explained
Explains Go 1.24's omitzero tag and IsZero() method for refined Go JSON serialization.
Using PostgreSQL as a Search Engine? Yes, You Might Not Need Elasticsearch
The inverted index originates from search engine technology and can be regarded as the cornerstone of search engines. Thanks to the inverted index technology, search engines can efficiently perform operations such as database searching and deletion. Before elaborating on the inverted index, we will first introduce the relevant forward index and compare the two.
How to Unescape JSON Strings in Python, JavaScript, and Java
Convert escaped JSON sequences to readable text using code or tools.
How to Convert JSON to YAML: A Practical Guide
Practical methods to convert JSON to YAML efficiently.
How to Convert JSON to XML: A Comprehensive Guide
Convert JSON to XML using tools or code, with proper structure handling.
Why Use Underscore Fields in Go Structs
The purpose of underscore fields in Go struct design.
Understanding Comments in JSON
JSON lacks native comment support; use workarounds or alternative formats.
How to Convert a Python Dictionary to JSON
Convert Python dicts to JSON with `json` module functions.
How to Minify JSON: A Developer’s Guide
Minify JSON to boost speed and efficiency in applications.
How to Convert HTML Form Data to JSON Using JavaScript
Convert HTML form inputs to JSON using JavaScript easily and reliably.
How to Make a JSON File
A beginner-friendly guide to creating and saving JSON files.
Understanding JSON Path Finder: A Developer's Guide
Tools to visually extract and evaluate JSON data paths.
A Complete Guide to PostgreSQL’s 9 Index Types
PostgreSQL provides a rich variety of index types. Each index type is based on specific data structures and principles, and is suitable for different application scenarios. The following will provide a detailed introduction to these nine main index types.
Why Use a VARCHAR Field Instead of TEXT in MySQL
An in-depth look at how TEXT fields work and when to avoid them.
Best Practices for Python Code Style and Linting
The Python code style guide is not set in stone. It evolves continuously with the development of the language. Some old conventions are gradually phased out, and new ones keep emerging. At the same time, many projects have their own coding style guides. When there are conflicts, the project-specific guides should be followed first. However, there is an important principle to keep in mind: "The stupid persistence in consistency is the monster of ignorance", which is a profound insight from Guido. Since code is often read more frequently than it is written, the core goal of the style guide is to improve code readability and keep all kinds of Python code consistent. As PEP20 says, "Readability counts".
How Many Goroutines Can Go Run? A Deep Dive into Resource Limits
A guide to understanding and managing Goroutine resource consumption and safe concurrency in Go.
Understanding JSON Arrays of Arrays
A guide to using and handling JSON nested arrays effectively.
How to Write JSON to a File in Python
Writing JSON to files in Python using `json.dump()`.
How to Convert JSON to CSV: A Practical Guide
Convert structured JSON to flat, tabular CSV for analysis.
Why Python, Go and Rust Don’t Use the Ternary Operator
Exploring the design choices behind conditional expressions in modern languages.
Why MVC, MVP, and MVVM Remain the Best Architectural Patterns
MVC stands for Model View Controller, which is an abbreviation for model-view-controller. It is a widely applied software design paradigm. Its core idea is to organize the code by separating the business logic, data, and interface display, and centralize the business logic in one component. In this way, when improving and customizing the interface and user interaction, there is no need to rewrite the business logic. MVC has uniquely developed to map the traditional input, processing, and output functions into a logical graphical user interface structure.
How to Store JSON Data in Session Storage in Angular
Storing JSON in Angular session storage using services for better structure.
How to Convert JSON to Excel Using Microsoft Excel's Power Query
Convert JSON files into Excel tables using Power Query tools.
Understanding JSON Arrays: A Practical Guide
JSON arrays store ordered, mixed-type data for structured information exchange.
Why Modern Languages (Go, Rust) Prefer Composition Over Inheritance
A deep dive into inheritance pitfalls and how composition solves them in languages like Go, Rust, and even Java.
Advanced Python Concurrency: Multithreading and AsyncIO
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.
Go's nil Is More Complicated Than You Think
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.
Python Advanced: A Journey with Abstract Base Classes
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.
Boosting Python Performance with Rust: A Practical Guide
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.