17 minute read

Note that this writeup is designed for CS411 Project.

This tutorial aims to provide a hands-on tutorial for students with little prior web development experience. In this example, we chose back-end rendering for its simplicity. Many frameworks support alternative (and fancier) web development methods. We do not cover these here, but we hope that the following workshop allows you to explore these options.


4 minute read

As a Taiwanese, I cannot tell you how important Boba is in my life. Ever since the COVID pandemic, the best way to consume boba is to make them from scratch. This April, after many requests from friends, I decided to write-up this boba recipie.

The ingredients are easy to find from local Asian Supermarkets and the steps are not hard to follow. Enjoy!


1 minute read

2019 年的 2 月的某一天我使用 IG 的問答功能發了一篇現實動態,內容大概這樣:

於是我在24小時內蒐集到了 92 份回覆。在我公布得獎者和答案之前,我們來想想這個題目背後的用意是什麼。又為什麼我說「人,從來就沒理性過」呢?


2 minute read

2019 年的第一篇筆記文就從這句話開始,希望不要太負面。但不要擔心,這樣的敘述其實早在 1991 年就由社會學家 Scott L. Feld 研究,並定義為矛盾友誼 (Friendship Paradox)。 1961 James Coleman 在 The Adolescent Society 中就計算發現:大部分的人朋友都比自己擁有更多朋友。在Scott 發表的研究中,他更精密地去探究其原因以及它會造成的問題。也就是這樣的社群網絡,才造就我們俗稱的「同溫層」。

我們先看看 Scott 分析當地一間高中的朋友關係圖

Casual Notes

2 minute read

全文同步發布至 PTT/studyabroad (#1QslvZKk),背景可以直接去看我的 About Me.

潛水多時,即將啟程,心中十分感謝留學版很多實用的資訊,也很想對那些毫不吝嗇慷慨 給予我幫助的人說聲謝謝。此外,我想要把自己申請學校這段時間的心路歷程,並會附上 我自己的文檔,給未來的版友一些些的參考。


9 minute read

This is a demo for data analysis using Python.

According to estimation by Statista[1], the number of digital cinema screens has grown from 2,500 to 150,000 over the past ten years. With the rise of information technology, we are also capable of storing and retrieve movie viewer’s information and their reviews. Leveraging the computing power today, it is now possible to derive insights from these datasets. In this report, I would look at the given dataset from a pure analysis perspective and also…

Casual Notes

3 minute read

2017年秋天參加了台灣人工智慧年會,把筆記記錄在這裡。當天的 議程表連結也留著。

Artificial intelligence 是從 web→mobile→cloud 的成果,不是單一存在的。台灣必須要跨領域才能扭轉。現在這個時間把焦點放在全球化和台灣在世界的定位,而不是只是追逐現有的單一技術。 AI 應用現在最好的應用點: 有大量影像的東西 自駕車出現後你會出現新的需求 → Motel? 保險? / 直播? 旅行?