You are reading this book for two reasons. First, you are a programmer. Second, you want to be a better programmer. Good. We need better programmers.

This article just simply excerpts the highlights of the book and would be updated if I have some new ideas.

Chapter 1 — Clean Code 無瑕的程式碼

I like my code to be elegant and efficient. The logic should be straightforward to make it hard for bugs to hide, the dependencies minimal to ease maintenance, error handling complete according to an articulated strategy, and per- formance close to optimal so as not to tempt people to make the code messy with…

This article mainly focuses on the big picture of traditional machine learning algorithms; as for the details, please check or search on your own.

What is the difference between regression and classification?
There are both types of supervised machine learning. The main difference is that the output variable in the regression is numerical (continuous) while that for classification is categorical (discrete).

What is linear regression? [supervised, regression, mean square error]
We find the relationship between independent and dependent variables by fitting the regression line which is polynomial equation. …

In this article, I will focus more on algorithms and theory, including neural network itself, activation function, gradient descent, learning rate, and loss function. And the next piece would discuss programming skills.

What are the steps of deep learning?
1. create a function (neural network)
2. evaluate the goodness of the function
3. pick the best function as the final question answer machine

What is a neural network?
Neural network simulates the ways human learn but is much simpler. It can be imagined as a function. When you feed it input, you are supposed to get an output. …

Another commonly used topic must be file accessing, including finding, reading, and writing. There is not much content on this topic, so the article’s length wouldn’t be too long. Just read them without pressure!

另一個有很實用的主題是檔案處理，包含了尋找、讀寫等等。整體來說，這個主題沒有很多內容，也因此篇幅不會太長。就輕鬆讀過去吧！

We know path has two types, absolute path as well as relative path, and sometimes it is possible to find a common prefix path for many paths and so on. In addition, we might need to confirm the existence of the file for subsequent read and write actions. Moreover, there is a package called “glob”, which I think is very useful. …

I am initially hesitant about writing the topic: time, since it is useless, the standard functions are really common for us… However, I am not currently waiting for my model in the training process, so…

剛開始很猶豫要不要寫這個主題，因為他其實很無用，該會的就那幾個，而且應該也早就會了，就好像也沒啥好介紹的⋯⋯。但現在，趁著 model 還沒跑出來，我還是寫了啦。

At the beginning, I would like to introduce the usage of the module “datetime”. It includes three classes — date, time, and datetime. today() is the function to get the date today; we can print them in manually set format by date.strftime(). To calculate the days between them can easily get by subtraction.

首先，要介紹的是 datetime 這個模組。他主要由三個部分組成，date、time 以及 datetime。today() 回傳的是今日的日期，而如果我們要將其印為特定格式則使用 date.strftime()。要計算兩個日期之間的差，則更簡單的直接將兩者相減就好。

from datetime…

There are 4 mainly used data types. According to W3schools, the definition are as following.

主要我們會使用的變數型態有四種，以下是 W3schools 針對不同型態分別的定義。

• List is a collection which is ordered and changeable. Allows duplicate members. 有順序，可變，允許相同 elements。
• Tuple is a collection which is ordered and unchangeable. Allows duplicate members. 有順序，不可變，允許相同 elements。
• Set is a collection which is unordered and unindexed. No duplicate members. 無順序，可變，不允許相同 elements。
• Dictionary is a collection which is unordered, changeable and indexed. No duplicate members. 無順序，可變，不允許相同 elements。

List 列表

To insert an element, there are two approaches, append() and insert(). To remove an element, there are three methods, remove(), pop() and del. The followings…

After introducing “number,” another essential type of variable is “string.”

講完數字類型，另一個也很基本的變數型態就是字串。

First, I want to talk about “how to check the content of the string,” the most commonly used function is to check if the string is consists of specific characters, such as digits or alphabets. If the string does not only consists of a number, and you directly change the type to int or float, the error appears; that’s one of the situations you need the isdigit() as condition statement. Or, if you are writing a process for setting a password which must contain special characters, isalpha() would be…

先寫面過的公司，全部都有offer。因為我開始找的時間都很奇怪，所以沒有跟上大公司的暑期實習，資訊營ＱＱ
Taiwan:
訊連科技 CyberLink
奇卓科技 AndroVideo
禾多移動
威盛電子 VIA Technology
意藍資訊 ELand
願境網訊 KKBOX
Singapore:
NeXT++ Research Assistant
NUS SoC Dissertation Assistant

真心先推薦在大學期間去實習，你會開始珍惜學生時光的美好ＸＤ

這一篇主要會講整體的準備。第一個部分跟申請學校一樣是 resume、再來是 coding test 跟 interview，還有是我有另外做的額外準備跟薪水。

Resume
resume 的目標，應該是讓面試官能在最短的時間內，相信你的能力。在上一篇已經介紹過該注意的重點，所以這篇我會著重在講跟申請學校不一樣的地方。在申請學校的時候，社團、幹部經歷等等都是展現你有領導能力、有社交能力的必要佐證；然而，這些跟做研究的能力、處理問題的能力其實八竿子打不著，也因此在面試的時候，從來不會有哪個主管問你相關問題，如果其他更重要的經歷都塞不下的話，為什麼要浪費版面空間去寫這件事呢？

Coding Test
很多公司都會有 coding test，我自己的做法是刷 leetcode 拉，但我也沒有很認真⋯⋯因為 leetcode 的題型好像都差不多，主要是 bfs、dfs 跟 linked list，只要能夠分得出來應該就不是什麼大問題。有遇過要自己編 input/output 的，也有給定格式的；所以練習找出對你最有利的 input 方式也蠻重要的。另外，推薦大家用 python，高級語言跟鬼一樣，但因為 sublime 有很多幫你補字的部分，我剛開始連 function 都忘記怎麼寫⋯⋯。

Interview
在過程中，看著面試官講話是基本，而邏輯性也是非常必要的。內容的部分，除了最基本的資料結構、演算法、系統以外，我會事先瞭解公司主要在做什麼，跟自己面試的職位複習一下，例如 NLP 相關就必須要會 BERT，又或者 CV 領域需要會的就會是 Data Augmentation 還有各種基礎的 NN 架構，專精於 FR 的話可能就要會 Product Quantization 等等。以前上課的投影片要留著，我自己是每一科都有做筆記，所以複習起來也比較快速，如果你什麼都沒有的話，網路上有很多資源，簡體中文的資料甚至有題庫可以練習，總之運用一切資源，讓你的準備更加完整。

Others（Self Intro、Company Info、Question Time）
除此之外要準備的還有很多東西。1. 自我介紹：這個部分，我有準備中文的兩個版本，分別是一分鐘跟三分鐘，另外還有簡單的投影片，包含一些學經歷還有做過的 project 跟專題等等。還有切記！一定要對自己 resume 上的內容熟習，複習一下你曾經寫過的報告！ 2. 公司的大致發展方向：這就不用說了，上網一定要查過，對自己應徵的職位也要有一定的瞭解。3. 面試結束前的發問時間：我自己是有根據公司的專長領域，以及研發中的產品，去專門查一些最新的資訊，可能遇到的瓶頸，稍微看一些 paper 的相關演算法，最後裝做不經意的說出『我以前有看過一篇 paper，主要是在說某某某解法，公司目前是比較偏向哪種方式？』

Others II（Salary）
最後一個，可能大家也比較有興趣的部分是 4. 期望薪資：我要分享的重點是『怎麼談薪水』，我們都知道公司會希望以你所能接受的最低價格聘請你，也因此你開的最低價格甚至更低就會是你們最後談成的薪水。當然看到這裡，可能會想說那就是越高越好麻！不是這樣的！事先了解薪資行情是必須的（可以藉由多面試幾家觀察到），不然只會讓人覺得你很沒有 sense，進而顯得沒有底氣。我通常會開的比市場價高一些（其實高很多些），但前提是你能夠證明自己，從有條理的談吐、從你對這份工作勢在必得的自信、還有從朋友教授及別家公司的認可，都是證明的方式。記住，你的專業就是你的價值，也就是你薪水高低的關鍵！

最後在兩家待過的公司都有要到高出市場價蠻多的薪水。最想告訴大家的是，做最充分的準備、盡最大的努力、展現最完美的自信，機會就是你的。啊忘記分享國外的，不過大同小異，只是全部都是英文版拉，迎向我的 WFH 工作人生。