In-Depth Analysis of Typical BLE Application Scenarios: Full Process Design and Code Examples for Smart Home, Health Monitoring, Asset Tracking, and IoT Data Collection

The following is a complete process example of BLE technology in typical application scenarios, covering smart home control, health monitoring, asset tracking and IoT data collection. It combines hardware configuration, software processes, communication interactions and code examples to help developers quickly understand the actual application logic: 1. Smart Home Control (e.g., light switch) Scenario Description … Read more

Understanding Mi Home BLE Mesh: Unlocking New Approaches to Smart Home Development

Friends engaged in IoT development are certainly familiar with BLE Mesh technology, especially in the smart home field, where it plays a crucial role. Today, we will specifically discuss Mi Home BLE Mesh, packed with valuable information, so get your notebooks ready and take note of the key points!1. Basic Concepts of SIG BLE MeshBLE … Read more

Geospatial Data Processing in Python | 12. Downloading Sliced Data

Introduction Often, the datasets we need are very large due to high resolution, necessitating storage in chunks (in fact, many high-resolution datasets are provided for download in a chunk-compressed format).The naming convention of these chunk files usually indicates their corresponding latitude and longitude ranges, but finding and verifying them one by one can be cumbersome, … Read more

Data Download Made Easy | 5. Batch Downloading Numerical Weather Prediction Datasets with Python

This Article Overview In the field of meteorological research and forecasting, Numerical Weather Prediction (NWP) data plays a crucial role. NWP data is a series of meteorological element data, such as temperature, pressure, wind speed, and precipitation, obtained by running numerical weather prediction models on supercomputers to simulate atmospheric movements and changes. This data helps … Read more

20 Core Principles of Python: A Comprehensive Introduction to the Underlying World

20 Core Principles of Python: A Comprehensive Introduction to the Underlying World At three o’clock in the morning, I was troubleshooting a memory leak issue when I suddenly realized that the newcomers in the team had no understanding of Python’s garbage collection mechanism. I remember when Guido introduced reference counting in 2000, many were still … Read more

Building and Using RESTful APIs with Python

Building and Using RESTful APIs with Python Hello everyone, I am Xiao Ai! Today we are going to explore a super useful skill in Python – RESTful API. Simply put, an API acts like a “microphone” between two programs, and a RESTful API is a particularly popular way of communicating. By mastering this, you can … Read more

Python Debugging Techniques: Quickly Identify Issues

Python Debugging Techniques: Quickly Identify Issues In the daily programming process, debugging code is an inevitable part. When encountering errors or exceptions, how to effectively locate and resolve these issues will significantly improve your development efficiency. This article will introduce some debugging techniques in Python, including using print statements, exception handling, the pdb module, and … Read more

Software Testing Notes | Basics of Python Programming | Directory Operations with OS

“Just a little click, please follow me~”👇 “You know—when a person is feeling down, they particularly enjoy watching the sunset.” — Antoine de Saint-Exupéry, “The Little Prince” In Python programming, operations on directories are a fundamental and important skill. Whether for file management, data processing, or project deployment, operations such as creating, deleting, and traversing … Read more

Optimizing Python Code Performance: Enhancing Execution Speed

Optimizing Python Code Performance: Enhancing Execution Speed In the daily programming process, writing a fully functional program is just the first step; subsequent performance optimization is also an essential aspect of development that cannot be overlooked. Especially when using Python, due to its interpreted and dynamically typed nature, the execution efficiency may be relatively lower … Read more