大綱 什麼是資料視覺化 我們常用什麼樣的圖表和他們的使用時機直方圖，折線圖，散步圖，圓餅圖，等高線圖，熱圖， Python 的資料視覺化套件 用 Matplotlib 來做靜態圖表 安裝，載入 先畫出一個簡單的圖表，再把它存檔吧

(Modmesh) parameter finding: an application estimates the parameters of the defined functions on some numerical data. We use maximum likelihood method as an estimation, and finding maximum/minimum is an optimization problem. Log-maximum likelihood method can be represented as minimized of the form $F(\pmb{\theta})=-\sum_{k=1}^{K}\ln f(x=x_k;\pmb{\theta})$ where $x_k$ is a data sample, and $\pmb\theta$ is parameter vector. Code information Parameters finding is part of modmesh. Parts of gradient calculator and iterator/stopping will be impleted by c++. Part of plot will be implemented by pyside6. The source code of modmesh is here.