▼ Click the card below to follow me Pillow-SIMD: Let Image Processing Take Off! Image processing has always been a field with high performance requirements in programming. As a powerful assistant for Python image processing, Pillow has provided us with robust functionalities. However, when we encounter a large number of image processing tasks, the standard … Read more
“PLC Sensor Fusion: Multi-source Data Processing Reduces False Detection Rate by 80%!” Hello everyone! Today, let’s talk about those frustrating false detection issues in factories—where the equipment is fine, yet the alarm keeps flashing; when there is a real problem, the sensors collectively “play blind.” It feels like having a severely nearsighted security guard at … Read more
In data-intensive fields such as finance, e-commerce, and human resources, at least 120 million repetitive Excel operations occur weekly. When I witnessed a CFO of a publicly listed company complete a report merge that would have taken all night with just three lines of Python code, I realized: when Excel meets Python, it’s like the … Read more
Source: Tiger Says Chip Original Author: Tiger Says Chip This article introduces the concept, characteristics, and position of hardware processing modules in systems. 1. Basic Concept of Hardware Processing ModulesFocus on Specific Functions Hardware processing modules can be understood as a piece of logic circuit “customized” within a chip, designed to perform a specific type … Read more
Combining Python and Excel: A Revolution in Handling Large Data Sets 📊 Are you still struggling with lagging when processing large Excel files? When faced with data exceeding a million rows, traditional Excel operations can often be frustrating. As an efficiency coach with 10 years of data analysis experience, today I want to share a … Read more
Python and Big Data Processing: Practical Applications of Spark and PySpark 1. Introduction: Technical Choices in the Era of Big Data With the exponential growth of data volume, traditional single-machine data processing methods can no longer meet the demand. Big data processing faces challenges in storage, computation, analysis, and visualization. Among various big data frameworks, … Read more
When it comes to edge computing, you might find it somewhat obscure, but you are certainly familiar with octopuses. An octopus is an invertebrate animal filled with neurons, but only 40% of its neurons are in its brain, while the remaining 60% are in its eight arms (tentacles). This means that the octopus has “multiple … Read more
The drive technology of 3D printing mainly includes hardware control, motion execution, data processing and communication, safety monitoring, and fault diagnosis. Below is a detailed introduction: The drive technology involves the collaboration of various devices to achieve core functions such as precise motion control, material delivery, and energy application. 1. Hardware Control Core Control ChipIt … Read more
ezc3d: A Powerful Tool for Biomechanical Data Processing In biomechanical research, data storage and processing are crucial steps. The C3D file format, as a widely used standard, is specifically designed for storing biomechanical data, such as three-dimensional motion capture data and force platform data. However, for a long time, the biomechanics field has lacked a … Read more
This is a work from Big Data Digest, please see the end of the article for reprint requirements. Author | Adam Geitgey Translation | Yuan Yuan, Lisa, Saint, Aileen Python is undoubtedly an excellent programming language for processing data or automating repetitive tasks. Need to scrape web logs? Or adjust a million images? There is … Read more