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.
In today's programming world, both Go and Rust are highly regarded programming languages. Developed by Google, Go is renowned for its simplicity, efficiency, and excellent concurrency performance. It is commonly used for building network services, cloud computing platforms, and more. Rust, promoted by Mozilla, is famous for its memory safety and high performance, and it has a wide range of applications in areas such as system programming and embedded development. This article will conduct a detailed comparison of the code writing in Go and Rust from multiple aspects.
Learn how Rust's smart pointers ensure safe memory allocation, ownership, and concurrency.
The code name of the new TypeScript migration project is Corsa. The old codebase, Strata, was once the initial code name of TypeScript, which began in the internal development stage at the end of 2010 or the beginning of 2011. The initial team consisted of Steve Lucco, Anders Hejlsberg, and Luke. Steve wrote the original prototype compiler, extracting and modifying the scanner and parser from the JavaScript engine of Internet Explorer. It was a C# codebase used for the proof of concept.
A practical approach to Rust error handling: methods, patterns, and custom error strategies.
`fmt.Fprintf` in Go enables efficient, formatted output to diverse destinations.
Anonymous structs in Go simplify temporary data handling but can reduce readability if overused.
An introduction to machine learning in Go with key libraries and examples.
Explores Go queue implementations using slices, linked lists, channels, and libraries.
Go build tags enable conditional file inclusion based on platforms or custom configurations.
Guide to Base64 encoding and decoding in Go.
How to convert strings to integers in Go using `strconv.Atoi`.
Go timers schedule delayed tasks, and proper handling ensures efficient operations.
Guide on importing local packages in Go using Go modules.
A guide to Go's `fmt` package for formatting strings, numbers, and customizing output.
How to use Go's `break` statement in loops and switch statements.
Golang's `time.Ticker` schedules periodic tasks and requires proper stopping to manage resources.
Explore Redis data types with practical examples and usage scenarios for backend optimization.
The `typing` module injects the powerful ability of static type annotations into Python, significantly improving the readability and maintainability of the code. Through this article's detailed introduction to the basic concepts, common types, advanced types, and type checking tools of type annotations, it is hoped that readers can have a deep understanding and proficient mastery of the usage methods of the `typing` module. In actual Python project development, the reasonable application of type annotations can effectively reduce potential errors, improve the quality of the code, and make the development process more efficient and reliable. Whether it is a small project or a large project, type annotations can bring many benefits to developers and are worthy of wide application in daily programming.
In the Go language, although net/http provides basic HTTP functions, its design goal focuses on simplicity and generality rather than providing advanced features and a convenient development experience. When handling HTTP requests and building web applications, net/http is insufficient in the face of complex routing rules; for some common operations such as logging and error handling, it is difficult to achieve a pluggable design; in terms of binding request data to structures, net/http does not provide convenient operations, and users need to implement them manually.
An overview of Rust's essential data structures: Vec, HashMap, HashSet, and more.
Panic in Go halts execution; use `recover` to handle it and prefer explicit error handling.
Go supports YAML processing via `go-yaml/yaml` and `goccy/go-yaml`, enabling parsing and generation.
Efficiently process XML in Go using `encoding/xml` for parsing, generation, and streaming.
OAuth is an open network standard for authorization that is widely used globally, and the current version is 2.0. This article will provide a concise and easy-to-understand explanation of the design concept and operation process of OAuth 2.0 based on RFC 6749.