1 views collected around this technical thread.
This guide walks through Go’s most powerful standard library packages—fmt, net/http, sync, encoding/json, context, os/io, testing, time, sort, and reflect—showing practical code examples, advanced tips, and best‑practice recommendations to boost development efficiency and write professional Go code.
This tutorial walks you through creating a compact Python Tkinter GUI that can send GET/POST requests, handle JSON or XML payloads, support Bearer tokens, clean illegal URL characters, and be packaged into a standalone Windows executable using PyInstaller.
This article introduces a Python‑based GUI application that formats, compares, and highlights differences between two JSON files, detailing its features, implementation using tkinter, json and DeepDiff, example usage, and instructions for running and extending the tool.
The article details a MySQL 5.7 bug where rollback SQL generated for a JSON NOT NULL column produces an empty string instead of NULL, explains the underlying binlog behavior, reproduces the issue with sample tables, and provides a practical workaround by converting the JSON column to TEXT before re‑importing the data, while recommending strict SQL_MODE for production.
The article explains how to retrieve coupon templates linked to a specific product ID in MySQL, compares a simple LIKE‑based fuzzy search with a more accurate multi‑value JSON index approach, and provides step‑by‑step SQL code and performance considerations.
This article explores Jackson's ObjectMapper in Spring Boot 3, covering basic serialization/deserialization, converting between objects, JSON strings, JsonNode, and collections, custom serializers/deserializers, handling unknown fields, and performance tuning with the Afterburner module and JMH benchmarks.
This article explains why naïvely parsing JSON from localStorage often crashes applications, and provides a concise safeJSON wrapper, versioned key strategy, and TypeScript guards to prevent runtime errors and ensure robust frontend data handling.
Java serialization, while convenient for persisting objects, suffers from versioning issues, hidden fields, mutable data snapshots, performance overhead, security vulnerabilities, singleton breaches, final field tampering, external dependencies, maintenance burdens, and format limitations, and the article recommends explicit serialVersionUID, custom methods, and JSON/Protobuf alternatives.
This article explains what JSON is, its language‑independent syntax, how to define objects, arrays and nested structures, and demonstrates practical ways to parse and manipulate JSON data using JavaScript and Python code examples.
This guide explains how to collect Nginx access logs, convert them to JSON, store them in Loki using Promtail, and visualize the data with Grafana dashboards, including installation of required modules, Docker deployment, and world‑map panel configuration.
This guide introduces JSON Hero, a user‑friendly tool for viewing and editing JSON data, explains how to install it locally with Git and npm, shows how to use the web version, and highlights its multiple viewing modes and sharing features.
This article introduces an open‑source Java JSON framework that uses recursive parsing and reflection to serialize and deserialize objects without third‑party libraries, supports generic and array types, and provides extensible features such as custom annotations, JsonPath, and HTML‑safe output.
Redis 8.0, released on May 1 2025, introduces a major license shift to AGPL‑v3, adds eight native data structures—including vector sets, JSON, and time‑series—enhances the query engine with up to 16× performance gains, improves scalability, security, and cloud‑native support, and provides extensive code examples for AI and real‑time analytics.
This article presents a curated collection of practical Spring Boot 3 examples—including JSON parsing, automatic database script execution, custom DataSource configuration, properties/YAML loading, and data binding with validation—complete with code snippets and configuration details for Java backend developers.
This article explains how the json module's default parameter can be used to serialize unsupported Python objects, such as datetime, by providing a custom function or by subclassing JSONEncoder, and includes clear code examples demonstrating both approaches.
This article introduces Python's built‑in json module, explaining how to serialize Python objects to JSON strings and files, deserialize JSON back to Python, and demonstrates common tasks such as pretty‑printing, handling Unicode, working with lists and nested structures, custom encoders, and network responses.
This article explains how to retrieve coupon templates linked to a specific product ID in MySQL, comparing a simple fuzzy‑search approach with a more accurate and performant multi‑value JSON index solution, and provides step‑by‑step SQL code examples.
This article presents 29 concise Python code examples covering common API automation tasks such as JSON conversion, file I/O, dictionary manipulation, request handling, data filtering, encryption, URL encoding, time formatting, exception handling, and regular expressions, each accompanied by clear output and commentary.
This article presents a comprehensive collection of Python code snippets demonstrating how to parse, construct, modify, query, and validate JSON data for common API automation tasks, covering conversion, file I/O, field extraction, merging, sorting, and token handling.
This article explains how to create custom MyBatis TypeHandler classes to automatically convert Java objects—such as JSON strings and enum codes—to appropriate JDBC types, simplifying data persistence in Spring Boot applications and improving code maintainability.