雅瑄 何
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on the atlas — 66
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highlights — 215
幸福不是靠努力填滿某件事物的能力能得到的。真正的幸福不是外部能填滿的，懂得欣賞現在這一瞬間，活在當下的能力才能帶來幸福。
清邁遠端工作與數位遊牧（上）：更豐富的工作與生活經驗分享 | 出走工程師 Up5. "It is very simple to be happy, but it is very difficult to be simple." - Rabindranath Tagore
Weekly I/O #36 - by Cheng-Wei Hu - Weekly I/O但至少，寫作日常多了一種可能的聲音：你很好。
恨是恆久忍耐又有恩慈，恨是不嫉妒──專訪小說家寺尾哲也《子彈是餘生》 ｜ BIOS monthly「那時大家都還不知道，到底要多好，才能活下來。」
恨是恆久忍耐又有恩慈，恨是不嫉妒──專訪小說家寺尾哲也《子彈是餘生》 ｜ BIOS monthly「有點想說是對這個社會的復仇，但⋯⋯與其說是復仇，不如說它後來就會變成像是清教徒的那種習慣。你刻苦生活，刻苦工作，就是一種很強、很值得被推崇的事。」
恨是恆久忍耐又有恩慈，恨是不嫉妒──專訪小說家寺尾哲也《子彈是餘生》 ｜ BIOS monthly「雖然不知道賺很多錢要幹嘛。但，我就只是想報復而已。」
恨是恆久忍耐又有恩慈，恨是不嫉妒──專訪小說家寺尾哲也《子彈是餘生》 ｜ BIOS monthly「現在擁有的都不夠好，我一定要趕快再追求更多、更好。在忍耐的過程中，我必須要有無限催逼自己的能力。即使非常非常累、非常非常厭倦，都還要能夠認真做事，這個動力，就是要用焦慮感來催眠自己。」
恨是恆久忍耐又有恩慈，恨是不嫉妒──專訪小說家寺尾哲也《子彈是餘生》 ｜ BIOS monthly「我也有過絕望，曾經覺得被全世界背叛了，但是我錯了，跑步這件事最終以更美妙的姿態回到我身邊。 」
《強風吹拂》：跑吧！追尋那個理想中的自己！｜方格子 vocus在這個短影片、社群圖文當道的「快」時代，閱讀正是給了一個「慢」下來的機會，讓我們得以靜靜思尋。而唯有靜下來，我們才更能反芻自我、理解他人與認識世界。這是閱讀教會我的事，也是我想在這個沒人讀書的時代，分享閱讀的原因。
《部落格100篇特輯》：聊聊我的閱讀旅程！ - 姆斯的閱讀空間正因為處理不健康的東西，所以才要維持身體健康
《這樣學習改變了我》：村上春樹式「馬拉松修行」，可說是一種窮究真理的學習型態 - 第 1 頁 - The News Lens 關鍵評論網我也認為，一般人認為耗費腦力的工作，其實也要仰仗身體。 認為花腦力的工作和體力無關，這是忽視身體的想法，無論是學習或工作，都不是只靠「腦力」在進行。有耐力的人動腦就會發揮耐性，瞬間爆發力強的人就能以速度感處理工作。那不只是取決於先天的資質，透過訓練養成習慣也會改變，因為和身體性能的密切關係是無法分割的。
《這樣學習改變了我》：村上春樹式「馬拉松修行」，可說是一種窮究真理的學習型態 - 第 1 頁 - The News Lens 關鍵評論網即使是在一個這麼仰賴晶片的產業環境裡，絕大部分的人根本都沒聽過台積電，覺得晶片好像是跟自己很遙遠的事情，因為我們平常肉眼根本看不到這些晶片。
《晶片戰爭》讀後心得：如同小說般精采的必讀好書 | 閱讀前哨站Starting is the most important part and the biggest hurdle that most people are facing
Document, Don't create: Creating Content that Builds Your Personal Brand - Gary VaynerchukDrawing confidence intervals can help as a static view, but cannot help users handle more sophistic ated queries against their visualizations data.
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionsbetween confidence and accuracy
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionswe expected the system to make more of a difference in marginal cases where confidence intervals were broad; when confidence intervals are narrow
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisions(PLAIN, ERROR BARS, or ENHANCED),
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisions(H1) more accurate in their answers to these questions , and be (H2) more confident in their answers .
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsFind Items within Ranks
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsFind Items at Given Rank
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsCompare to C onstant
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsIdentify Minimum and Maximum
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsCompare Bars to Each Othe
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsSpatial Stability across
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsConsistency across Task
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionsconfidence intervals and sample size information
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionsdata analysts often deal with samples or selections of data.
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionsusers need to interpret all questions and conclusions about the data in a probabilistic manner : “is A greater than B?” changes to “what are the chances that A is greater than B?”
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionshelp decide when to terminate an incremental computation
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionspeople make incorrect decisions when presented with probabilistic choices.
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsVisual Data Analysis Ignores Uncertainty
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionstask - driven’ visualization
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionsbar charts and ranked lists .
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsMany users are unaware of the importance of seeing their data as a sample.
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionssamples of data, rather than the full population
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident DecisionsWe present guidelines for creating visual annotations for solving tasks with uncertainty, and an implementation that addresses five core tasks on a bar chart.
Sample-Oriented Task-Driven Visualizatons: Allowing Users to Make Better, More Confident Decisionschartjunk may include the use of too many colors, too many labels, gratuitously colored backgrounds, useless grid lines
Ten Simple Rules for Better Figures | PLOS Computational Biologythe presence of data that needs to be shown as objectively as possible
Ten Simple Rules for Better Figures | PLOS Computational Biologyn a plot: Line2D, Rectangle, Circle, and Text. Composite artists are collections of Artists such as the Axis, Tick, Axes
The Architecture of Open Source Applications (Volume 2): matplotlib基元 (primitives)和容器 (containers)
Hello Matplotlib！｜Matplotlib 入門詳細介紹及基礎圖形教學 (2023更新版) – Simple LearnPlay is not a specific activity, it’s an approach to learning, an engaged, fun, curious way of discovering your world,
Taking Playtime Seriously - The New York TimesConfirmation bias can blind us to the facts; we are quick to make up our minds and slow to change them in the face of new evidence.
Science Isn’t Broken | FiveThirtyEight“You have to believe that whatever you’re working on right now is the solution to give you the energy and passion you need to work.”
Science Isn’t Broken | FiveThirtyEight“science operates as a procedure of uncertainty reduction,”
Science Isn’t Broken | FiveThirtyEight“The difference is that science actually has a mechanism for self-correction. It’s just that it doesn’t always work.”
Science Isn’t Broken | FiveThirtyEightThe important lesson here is that a single analysis is not sufficient to find a definitive answer
Science Isn’t Broken | FiveThirtyEight“You really believe your hypothesis and you get the data and there’s ambiguity about how to analyze it.”
Science Isn’t Broken | FiveThirtyEightBusiness Understanding
Data Science MethodologyCross Industry Process for Data Mining (CRISP-DM)
Data Science MethodologyGit repository hosting service
https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0105EN-SkillsNetwork/labs/Module2/GitHub1_Getting_Started.md.html?origin=www.coursera.org