Articles
Go Dependency Management with Modules: Everything You Need to Know
Go has become a mainstream programming language in cloud computing and microservices due to its high performance and concise syntax. As project scales expand, traditional dependency management solutions (GOPATH + Vendor) increasingly reveal flaws in version conflicts, collaboration efficiency, and build reliability. Introduced in Go 1.11, Go Module—the official dependency management solution—restructures Go project dependency management through **modular design**, **semantic versioning**, and **automated dependency resolution**. This article dissects how Go Module achieves efficient and reliable dependency management from three dimensions: design principles, core components, and operational mechanisms.
Practical Guide to Pipeline Pattern in Go
Explores Go’s pipeline design pattern using goroutines and channels for efficient, concurrent data processing.
Inside Go’s sync.WaitGroup: The Story Behind Goroutine Synchronization
`sync.WaitGroup` is a basic tool for handling goroutine synchronization in Go language concurrent programming. Its design fully reflects the engineering practice principles such as memory alignment optimization, atomic operation safety, and error checking. By deeply understanding its data structure and implementation logic, developers can use this tool more safely and efficiently and avoid common pitfalls in concurrent scenarios. In practical applications, it is necessary to strictly follow the specifications such as count matching and sequential calling to ensure the correctness and stability of the program.
A Complete Guide to TLS in Go: Full Process Explained
The TLS (Transport Layer Security) handshake is a vital procedure that enables secure communication between a client (such as a web browser) and a server (such as a web server). Below is a detailed breakdown of the entire TLS handshake process:
Deep Dive into Go Slices: Mechanics, Memory, and Optimization
Explores Go slices’ internal structure, memory management, and best practices for performance optimization.
Understanding the OFFSET Clause in SQL
OFFSET in SQL enables efficient pagination by skipping rows in query results.
SQL `CASE WHEN THEN ELSE` Formatting Best Practices
Properly format SQL `CASE` statements for readable, maintainable queries.
Understanding SQL ROW_NUMBER(): Syntax, Use Cases, and Examples
SQL `ROW_NUMBER()` assigns unique row numbers for ranking and filtering.
Understanding PIVOT in SQL: Transforming Rows into Columns
PIVOT simplifies SQL data analysis by converting rows to columns.
Understanding the SQL DATEPART Function
SQL DATEPART extracts and analyzes specific date or time parts.
How to Use SQL ORDER BY with Multiple Columns
Sort SQL query results precisely using multiple columns.
Optimizing Go Performance: Practical Usage of sync.Pool and Escape Analysis
Guide to efficient object reuse and memory allocation optimization in Go with sync.Pool and escape analysis.
Neural Networks in Go: A Complete Guide to Building from Scratch
This article will introduce how to use the Go programming language to build a simple neural network from scratch and demonstrate its workflow through the Iris classification task. It will combine principle explanations, code implementations, and visual structure displays to help readers understand the core mechanisms of neural networks.
Understanding SQL Common Table Expressions (CTEs)
CTEs make complex SQL queries more readable and support hierarchical data handling.
How to Auto-Create SQL Tables: Methods and Best Practices
Quick methods to automatically create SQL tables across databases.
Understanding SQL Variables: Declaration, Usage, and Best Practices
SQL variables enable flexible, dynamic SQL code across databases.
Resource Pooling in Go Explained: Best Practices, Anti-Patterns, and Monitoring
Explores pooling techniques, concurrency, pitfalls, and monitoring via Go’s database/sql connection pool example.
Understanding the SQL DECIMAL Data Type
SQL DECIMAL ensures precise storage for exact numeric and financial data.
Understanding and Resolving SQL Server Error 18456
Error 18456 is a SQL Server login failure resolved by checking credentials, authentication mode, and state codes.
How to Use the GETDATE() Function in SQL Server
GETDATE() fetches current date and time for SQL Server queries.
How Go's net/http Package Manages TCP Connections
Inside net/http: Socket creation, connection pooling, and HTTP data flow in Go.
Understanding the SQL LAG() Function
SQL `LAG()` enables easy row-to-row comparison and trend analysis.
How to Lint JSON: A Practical Guide
Lint JSON for error-free, well-formatted, and consistent data using various tools.
YAML vs JSON: A Comparative Analysis
JSON excels in speed; YAML in readability and configuration clarity.
A Guide to Gin Performance Optimization: Routing, Memory Pools, and Async Tasks
Best practices for boosting Gin app performance, stability, and scalability.
16 Advanced Django Questions You Should Know
When moving from beginner to advanced Django development, developers often encounter complex and challenging issues. This article compiles 16 common questions in advanced Django development and provides answers with rich examples to help developers master advanced Django development techniques.
Go Option Pattern Explained: Advanced Parameter Handling
Learn how the Option pattern simplifies parameter management and enhances code flexibility in Go projects.
All You Need Is Express and JSX
Node.js combined with Express.js remains a golden combination for building efficient web applications. When we need to provide dynamic HTML content to the client, Express introduces the concept of a "view engine". Over the years, EJS (Embedded JavaScript) has become a popular choice due to its simplicity. However, since the advent of React, JSX (JavaScript XML), with its component-based UI construction approach, has gained enormous favor among developers, and its philosophy is also fully applicable to server-side rendering.
Choosing Between make and new in Go
Covers key distinctions and best practices for using make and new in Go.
A Practical Comparison of Decorators in Python, Java, JavaScript, Ruby, and Scala
In the development of cloud service deployment platforms like Leapcell, code modularity, maintainability, and scalability are of utmost importance. As a powerful programming construct, decorators enable the addition of extra functionality to functions or classes without modifying the core logic of the original code. Decorators in different programming languages vary in syntax, functionality, and application scenarios. This article will deeply compare the similarities and differences of decorators in Python, Java, JavaScript (TypeScript), Ruby, and Scala, and provide examples combined with server-side scenarios of the Leapcell cloud service.
XML vs JSON: A Comprehensive Comparison
XML excels in validation; JSON is efficient for web data exchange.
How to Pretty Print JSON
Pretty print JSON for better readability using code or online tools.
How to Escape JSON: A Comprehensive Guide
Properly escaping JSON prevents errors and ensures data can be safely exchanged.
Implementing Bloom Filters in Go for Efficient Caching
How Bloom filters in Go help eliminate invalid queries and ease database pressure in cache systems.
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.