Articles
Understanding the `or` Operator in Python
How Python's `or` operator evaluates conditions and returns results.
Understanding Python's `replace()` Method for String Manipulation
Basic use and behavior of Python's `replace()` method.
A Comprehensive Guide to Python Visualizers for Learning and Debugging
Visualize Python code execution for better learning and debugging.
Redis Distributed Locks: 10 Common Mistakes and How to Avoid Them
Common Redis distributed lock pitfalls and how to avoid them in real-world applications.
How to Append One List to Another in Python
Different ways to append lists in Python and when to use them.
Understanding Python's `.split()` Method
Python `.split()` splits strings efficiently for parsing and processing.
How to Uninstall Python: A Comprehensive Guide
Safely uninstall Python without harming your system.
How to Flatten a List of Lists in Python
Common ways to flatten Python lists efficiently.
How to Add Elements to a Set in Python
How to use `add()` and `update()` to manage Python sets.
Understanding `try` and `except` in Python
Python `try`-`except` helps manage and handle errors cleanly.
Deep Dive into JWT: Build FastAPI Authentication in Pure Python
Through the above steps, you have learned how to use JWT for authentication in FastAPI. JWT provides a secure and convenient way to manage user identities, making authentication between distributed systems more efficient. In practical applications, you can adjust the generation and verification logic of JWT according to your needs, such as adding an expiration time, customizing claims, etc.
MySQL Table Locking: What Happens When You Add a Column or Index?
How MySQL handles table locks when adding columns or indexes
Quicktemplate for Go: Like Jinja2 for Python, but Never html/template
Recently, when organizing the code of our project, I found that the code for many activities was very similar in structure and the functions it provided. To facilitate future development, I spent some time writing a tool for generating code frameworks to minimize repetitive work. The code itself is not complex and is closely related to the project code, so I won't go into details here. During this process, I found that the Go standard template libraries `text/template` and `html/template` were rather restrictive and inconvenient to use. I learned from GitHub about the third-party template library `quicktemplate`, which is powerful, has a simple syntax, and is easy to use. Today, we're going to introduce `quicktemplate`.
Python Module Management: A Practical Guide
Efficient tools and structure improve Python module management.
How to Import Modules from Another Directory in Python
Ways to import Python modules from external directories.
A Practical Guide to Python Virtual Environments: Comparison and Usage
Comparison and guide for Python virtual environments.
How to Update Python: A Comprehensive Guide
Steps and tools to safely update Python across OSes.
How to Use Python Regex for String Replacement
Learn to replace strings using Python regex with `re.sub()`.
Understanding Operator Overloading in Python
Customize how your Python objects behave with built-in operators.
SQL at Scale: Best Practices for Large Table Optimization
Practical techniques to optimize SQL performance for large tables.
Calling Go from Python: Speed Up Python with Go
In today's software development landscape, both Python and Go are highly popular programming languages, each possessing unique advantages. Python is renowned for its concise and elegant syntax as well as its rich libraries, which significantly boost development efficiency. It is widely applied in fields such as data science, artificial intelligence, and web scraping. On the other hand, the Go language is a statically typed and compiled language. It boasts excellent concurrent performance and high running efficiency, and is often used for building high-performance network services, distributed systems, and system-level programming scenarios.
Understanding Division Operators in Python
Python `/` is true division, `//` is floor division.
Python Cheat Sheet: A Quick Guide to Core Syntax and Features
Essential Python syntax, structures, and best practices.
Understanding Python’s `min()` and `max()` Functions
Core guide to Python’s `min()` and `max()` functions.
Understanding the `return` Statement in Python
Explains how Python's `return` works in functions.
How to Use `random.choice()` in Python
How to safely and effectively use `random.choice()` in Python.
Understanding Python's `dict.get()` Method
Safe key lookup in Python dictionaries with defaults.
Understanding Optional Arguments in Python
How to use Python optional arguments safely and effectively.
How to Square a Number in Python
Multiple ways to square numbers in Python, each with different uses.
How to Use Python `requests` for POST Requests
Make POST requests easily using Python `requests`.
How to Use Python `if...else` in One Line
Use Python's one-line `if...else` for concise, readable conditional logic.
Understanding Array Length in Python
How to get array length in Python across types.
How to Download and Install Anaconda Python
Step-by-step guide for downloading and installing Anaconda Python.
Locking Rows in SQL: Inside SELECT FOR UPDATE
How SELECT FOR UPDATE locks rows and manages concurrency in SQL.
Distributed UUID Generation with the Snowflake Algorithm
In Internet business systems, there are various types of IDs. These IDs need to ensure global uniqueness, and such IDs are called distributed IDs. Distributed IDs need to meet characteristics such as uniqueness, incremental trend, high availability, and high performance.
MySQL Table Design: 14 Golden Rules
A complete checklist for robust MySQL table design and schema best practices.
When to Use Composite Indexes in SQL
When and why to use composite indexes for better SQL query performance.
React vs Svelte: Side-by-Side Feature Analysis
This article has made a detailed comparison between the React and Svelte frameworks from ten aspects, including rendering mode, state management, property passing, child component handling, lifecycle, side effects, computed properties, conditional rendering, looping, global state management, and asynchronous rendering, covering their basic usage methods. It is believed that after reading this article, readers have gained a more comprehensive understanding of Svelte. These two UI frameworks each have their own advantages. Which one do you appreciate more? You are welcome to share your views in the comment section.
Understanding Rust's Any Trait: Type Introspection Without Reflection
A deep dive into Rust’s Any trait, its use cases, and comparison with traditional reflection.
Getting Started with NestJS: Build Skills Step by Step
From the native HTTP module of Node.js to Express, and then to NestJS and Next.js, we have witnessed the continuous evolution of web application development technologies. With its powerful architectural design capabilities, NestJS provides a structured solution for enterprise-level application development, making it an ideal choice for dealing with complex projects. Next.js, on the other hand, shows unique advantages in the fields of full-stack applications and front-end rendering. Although Express has certain limitations in large projects, it still has irreplaceable value when quickly building lightweight web applications. Developers should choose the most suitable technical solution according to the specific requirements of the project. Subsequent articles will delve into the core concepts and practical skills of NestJS to help developers quickly master this powerful framework.
Async/Await in Python: A Complete Guide to Coroutines
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.
How HTTP Caching Works: A Detailed Explanation
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.
Started with Prisma: The Best ORM for Node.js
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.
Rust Traits Explained: How They Work and Why They Matter
A deep dive into Rust traits, covering usage patterns and internal implementation details.
How Node.js Web Frameworks Really Work? (Inside Express.js & Next.js)
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.
Traits and Trait Bounds in Rust: A Comprehensive Guide
Overview of traits and trait bounds in Rust for abstraction and generic constraints.
Creating a Gin-Like Web Framework in Go from the Ground Up
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.
Getting to Know Generic Associated Types in Rust
Dive into Generic Associated Types: the gateway to higher-kinded types in Rust.