---
title: 2023 Fall - 前瞻科技 - 應用數學
tags: Syllabus
GA: G-77TT93X4N1
---

# 數學軟體介紹與實作

## Latex

#### 投影片講義

> 請 google "**蔡炎龍 latex**", 或是搜尋 "**LaTeX 研習I LaTeX 的基礎速成**"

* [LaTeX 研習I LaTeX 的基礎速成](https://liam.page/attachment/attachment/TsinghuaLaTeX/latex01.pdf)

> 投影片網址為 https://liam.page/attachment/attachment/TsinghuaLaTeX/latex01.pdf
> 將網址的 01 改成 02, 03 以及 04, 就會出現 Latex 02, 03, 04 等投影片講義

#### 軟體

* 本機離線使用 - [texmaker](https://www.xm1math.net/texmaker/index.html)
* 線上使用 - [overleaf](https://www.overleaf.com)

#### Latex 教學影片

* [LATEX小教室](https://www.youtube.com/@latex4703/videos)

---

## Markdown

#### 講義
* [Markdown 學習筆記](https://teshenglin.github.io/post/2019_markdown/)

#### 軟體

* 線上使用 - [hackmd](http://hackmd.io/)

---

## Matlab

#### 下載

* [NYCU 校園授權軟體服務網](https://ca.nycu.edu.tw)

#### 講義
* [LearnXinYminutes - Matlab](https://learnxinyminutes.com/docs/zh-cn/matlab-cn/)
* [MATLAB程式設計：入門篇 - 張智星](http://mirlab.org/jang/books/matlabProgramming4beginner/)
* [MATLAB程式設計：進階篇 - 張智星](http://mirlab.org/jang/books/matlabProgramming4guru/)

##### Applications

* [Image Processing and Computer Vision](https://www.mathworks.com/help/overview/image-processing-and-computer-vision.html?s_tid=CRUX_lftnav)
* [AI, Data Science, and Statistics](https://www.mathworks.com/help/overview/ai-data-science-and-statistics.html?s_tid=CRUX_lftnav)

##### open-source package
* [chebfun - numerical computing with functions](https://www.chebfun.org)

---

## Python

#### 講義
* [Learn X in Y minutes, X=python](https://learnxinyminutes.com/docs/python/)

#### 軟體

* 線上使用 - google colab
* Remark on Colab
* Mount your drive - [Google Colab 實用奧步篇 ( 連結硬碟、繪圖中文顯示問題 )](https://ithelp.ithome.com.tw/articles/10234373)
* The location of your Google Drive
* /content/drive/MyDrive/Colab Notebooks
* The location of pre-installed packages
* /usr/local/lib/python3.7/dist-packages
* Online resources
* [Github - Yen-lung Tsai](https://github.com/yenlung)
* Calculus with sympy
* [google drive](https://colab.research.google.com/drive/18o4ejoCdO6CK4taCtIwaSuhtB91iOc6b?usp=sharing)
* [nbviewer](https://nbviewer.org/github/teshenglin/Intro_machine_mearning/blob/main/Calculus_sympy.ipynb)