MATLAB provides two functions for nonlinear least squares fitting: lsqcurvefit and lsqnonlin. Both commands require the creation of an M-file fun.m where the function f(x) is defined, but the way to define f(x) differs between the two. Today, we will explore how they help us uncover the truth behind the data. lsqcurvefit is suitable for … Read more
Click the blue text to follow us The core goal of learning on the second day is to enable the code to have judgment and repetition capabilities. Building on the foundation from the first day (previous notes), we will expand the practicality of the code while reinforcing the knowledge already learned. Below is the modular … Read more
In data analysis and economic research, simulating wage distribution is a common yet complex task. Real wage data is often difficult to obtain due to privacy restrictions, but by simulating based on known macro indicators (such as average wage and Gini coefficient), we can generate reasonable synthetic data for algorithm testing, policy evaluation, or academic … Read more
First, learning Python must be guided bypracticality! Blindly watching tutorials often leads to superficial understanding, resulting in starting and then giving up. I want to share my experience onhow to get started with Python in a month! Many friends mention in their comments that they are unsure if they are suitable for learning Python, fearing … Read more
Today, I was very lucky to have my first encounter with Python, and I knew nothing about Python at all. Although it was my first exposure, I learned that programming in Python is of great help to people in any academic discipline. For example: law and humanities. For students in the humanities, especially in law, … Read more
Why Every Python Learner Should Master NumPy Imagine this: you need to calculate the average math score of 50 students in your class. If you use a Python list, you have to write a loop to sum each score one by one; with NumPy, you can do it in just one line of code. This … Read more
Introduction Data analysis has become an indispensable part of modern software development. When we talk about data analysis, Python and R are often the preferred languages. However, have you considered using Rust for data analysis? Rust is known for its memory safety, high performance, and concurrency capabilities, which give it unique advantages when handling large-scale … Read more
This is an old article from 2022. With the support of AI now, it should be much easier to accomplish. Background I happened to see a video discussing national fortunes, and felt inspired after watching it, so I shared it on my video account. Later, I thought, could I find some data to support it? … Read more
đ Comprehensive C Language Exercises | Sorting + Searching + Data Analysis Author: IoT Smart Academy Table of Contents Bubble Sort: Output 10 temperature data in ascending order Selection Sort: Sort by signal strength from high to low (including structures) Binary Search: Find the target value in a sorted array Comprehensive: Sort first then search … Read more
My decision-making is a “never-ending tug-of-war” Last Wednesday at noon, I stood in front of the convenience store downstairs, agonizing over the menu for 15 minutesâworried that a salad would leave me hungry, that a rice bowl would be too heavy, and that a sandwich wouldnât be nutritious enough. This has been my daily routine … Read more