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在e in python這個產品中，有5篇Facebook貼文，粉絲數超過0的網紅，也在其Facebook貼文中提到， Well... 星期四晚發生了點小意外。。。 Y先生在家餵我地條Royal Python Nagini時，被咬到了 😬 不過Y先生有驚人的復原力， 只係過左都未夠2日， 傷口已埋得7788。 事發時已快10pm, 我和同事們吃完晚飯閒聊後在回家的途上， 還有10分鐘的路程，突然接到媽咪的電話，說...
　同時也有4部Youtube影片，追蹤數超過12萬的網紅prasertcbs，也在其Youtube影片中提到，? เทคนิคต่าง ๆ ที่ใช้ในคลิป 1. การ pull image จาก docker 2. การแสดง images ที่มีในเครื่อง 3. การ run postgres container 4. การทำ data persistence ด้วย...

e in python 在 Facebook 的最佳貼文

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2021-09-18 23:35:13 有 97 人按讚
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Well...
星期四晚發生了點小意外。。。
Y先生在家餵我地條Royal Python Nagini時，被咬到了 😬

不過Y先生有驚人的復原力，
只係過左都未夠2日，
傷口已埋得7788。

事發時已快10pm, 我和同事們吃完晚飯閒聊後在回家的途上，
還有10分鐘的路程，突然接到媽咪的電話，說Y先生被蛇咬到血流不止，問我還有多久才回到家。

(⊙＿⊙)

開車前才和Y先生通過電話，
明明說在看Netflix,
怎麼突然去了餵蛇ga?

養左咁多年，
只試過一次被輕咬到，
除了多了幾個小洞，
並沒有流血，
今次咁嚴重?

回到家，
地墊上很多血，
Y先生的手仍在流血，
整隻手不斷的震，
說自己"in shock"
面色蒼白、軟弱無力、成個人運作唔到咁。

原來因為我不在家，媽咪又和Y BB在樓上，
他被蛇蛇咬到後呼救了接近10分鐘媽咪才聽到下樓，
他曾嘗試用左手整開蛇蛇的口，
用手拍打蛇蛇，
點知反而令蛇蛇愈咬愈實，
仲開始非常用力地纏住他的手。。。
完全移動唔到。
最終媽咪聽到他的呼救聲，帶住BB落樓，
用筷子插蛇蛇的口才放開。。。

蛇蛇無毒，所以唔會有生命危險，
所以我都唔sure有無需要去醫院。
問Y先生要點，他都未回魂答我唔到，
叫我決定，但因為擔心蛇蛇的牙留在傷口入面，所以可以的話還是去醫院檢查下，
睇下有無得照x ray。

最後我車了他去A&E,
仲去錯左門口，
但職員係對講機見到Y先生行都無力咁，
話可以比我地入去經Building內部去A&E,
仲可以用門口的輪椅。

等入去比護士Triage都等左半個鐘。。。
檢查完說可以安排照x ray,
比左4粒止痛藥頂住檔先。

但在A&E等到3am幾還未可以照XRay,
醫生都見唔到。
Y先生覺傷口已止左血，
摸落唔似有異物，
所以決定自行離開回家了。

5個鐘在A&E最後是運吉的。
傷口都是自己返屋企用粉紅藥水洗。。。

總結經驗：
1) 真係要mentally prepare如果有突發意外時要點做，有生命危險打999。無生命危險打111。 111線路都好繁忙，在A&E門口等緊時有試過打111, 但聽左幾分鐘都未入正題，一係就留電話咁，所以就收左線。 如果肯等無收線應該會比係A&E呆等有用。

2) 了解定醫院主要部門的位置，泊車位置等。

3) 即刻買返set長的牛皮手套和長鉗 😬

圖：
長鉗仲未到，舊鉗咁短，平時係唔戴手套ge-.-
加上Y先生個日檢查完一隻Pet Rat, 成隻手對於蛇蛇來講絕對吸引過解凍左的凍鮮老鼠la 🙈

傷口已經埋哂咁濟了。

被咬當日成身都係血。。。

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e in python 在 矽谷阿雅 Anya Cheng Facebook 的最佳貼文

矽谷阿雅 Anya Cheng By 矽谷阿雅 Anya Cheng

2020-03-02 14:11:36 有 330 人按讚
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五分鐘讓矽谷獵頭找到你（下）

越來越多的矽谷獵頭只用Linkedin找候選人，甚至略過履歷，但要怎麼樣容易被獵頭找到，昨天跟大家談了如何把標題變成關鍵字的秘訣，不過除了標題，還有一個被找到的關鍵：技能Skills & Endorsements。

常常有人請我幫他們介紹工作，但一打開他們Linkedin上的技能，明明是個名校mba，首要技能卻是什麼打字、游泳、Outlook！或是想轉職做軟體產品經理，但關鍵字上全是過去經驗的硬體採購。

獵頭或人資把職缺刊登到Linkedin上後，他們會填該職位期待的首要技能，這些技能，通常是招聘經理在職缺說明上寫的關鍵字，Linkedin則會把你的技能和職缺要的技能做比對，推薦獵頭聯繫配對率比較高的候選人！（真的，我曾經上傳職缺說明，結果Linkedin一直寫信給我，推薦我看一個候選人，打開是我自己！哈哈哈！氣得害我差點叫Linkedin退我刊登職缺的錢。）

🔥不知道該寫什麼技能？打開職缺說明，部分的職缺說明旁邊Linkedin會跟你說你少了什麼技能，如果那是你會的技能，把它們補上就對啦！不用五分鐘！

❗️切記，只有最上面三個技能會在其他人不點開展的情況下顯示，因此最上面三個一定要是跟你想找的職缺最有相關的技能。特別是沒有多年經驗的人，最好放硬技能（不要放什麼領導能力、溝通之類的）

❗️LESS IS MORE！
如果你去一家小小的義大利餐廳，看到菜單上有義大利麵和比薩，你覺得怎麼樣？很好。如果你在那家餐廳，看到菜單上還有滷肉飯、海南雞、日式銅鑼燒、泰式酸辣湯、美式大漢堡，你是不是覺得很不妙？

很多人會害怕刪掉技能，即使那些技能跟要找的工作毫無相關，尤其是以前很多人推薦的技能，感覺刪掉好可惜。可是，如果你看到一個只有兩三年經驗的履歷，卻寫說自己會專案管理、產品管理、行銷、設計、業務、財務、招募團隊、寫code，明明要找的其實是數據分析師，你是不是覺得這個人不專業？

🔥不知道該寫什麼技能，職缺說明旁邊又沒跟你說缺什麼
1. 把職缺說明打開看一下關鍵字
2. 有時候小公司貼職缺的是招募經理，直接看招募經理會的技能是什麼
3. 搜尋一下你覺得有同樣職稱的人，看看他們都有什麼關鍵字。比如說職缺是臉書的數據科學家，查一下擔任這個職務的人都有什麼技能。
4. 真的想不到，下面這些參考看看囉！

✅ 軟體產品經理：Product Management, Roadmap Planning, Software Development, A/B Testing, App, Software as a Service (SaaS), Strategy, User Experience (UX), Technical Product Management, Computer Science, User Stories, Product Strategy, Technologist
✅ 專案經理：Project Management, Program Management, Scum, Agile Software Development, Change Management, Process Improvement, PMP, PMO, Resource Management, Project Portfolio Management, Cross-functional Team Leadership
✅ 軟體設計師：User Experience Design, Visual Design, Interaction Design, User Interface, Content Strategy, Prototype, Animation, Motion Design, User Testing, Illustration, Wireframes, Web Design, Usability, User Research, Persona, User Journey
✅ 軟體工程師：Python, JavaScript, NodeJS, Java, AI, AR, VR, Computer Science. Web Development, C++, Mobile Application, iOS Development, HTML, Backbone.js, React.js, SQL, Objective-C, Ruby, CSS
✅ 數據分析師：Web Analytics, A/B Testing, Adobe Analytics, Google Analytics, Marketing Analytics, Product Analytics, Big Data, SPSS, SAS, Tableau, SQL, Modeling, R, Data Analytics, Data Science
✅ 行銷經理：Digital Marketing, SEO, PPC, Programmatic Advertising, Content Marketing, Email Marketing, Online Marketing, Marketing Strategy, Advertising, Online Advertising, Social Media Marketing, Marketing Research
✅ 通用：B2B, B2C, B2B2C, Leadership, Analytical Skills, Organization Skills, E-commerce/產業名

🙌 從花五分鐘挑三個技能開始吧！

快改好你的標題，加阿雅為好友吧（順便幫我的技能按讚喔）！https://www.linkedin.com/in/anyacheng/

Medium 好讀版👇
五分鐘讓矽谷獵頭找到你（下）https://bit.ly/3afc5d2
五分鐘讓矽谷獵頭找到你（上）https://bit.ly/2vuP5Is

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《追不到夢想就創一個》作者、美國西北大學老師、矽谷新創Taelor創業家。矽谷臉書、eBay、Target、麥當勞。產品管理與行銷。
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e in python 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最讚貼文

โปรแกรมเมอร์ไทย Thai programmer By โปรแกรมเมอร์ไทย Thai programmer

2019-08-30 10:49:19 有 1,496 人按讚
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ในวิชา "วิทยาการคำนวณ" ระดับชั้น ม. 5
ได้ดึงวิชา data science (วิทยาศาสตร์ข้อมูล)
มาปูพื้นฐานให้เด็กๆ ได้เรียนกันแล้ว นับว่าเป็นโชคดี
เพราะวิชาพวกนี้เป็นของสูง กว่าจะสัมผัสก็คงตอนป.ตรี โท เอก
...Continue ReadingIn the subject of ′′ Calculation Theology ′′ class. 5
Pulled data science (data science)
Let's master the foundation for kids to learn. It's considered lucky.
Because these subjects are high to touch. It's probably in the middle of the year. Tri To Aek

Which I will review the content to read roughly. The content is divided into 4 chapters.
.
👉 ++++ Chapter 1-Information is valuable +++++
.
Data science in the textbook. Used by Thai name as ′′ Information Science ′′
This chapter will mention Big Data or big data with lots of valuable information.
And so much role in this 4.0 s both public and private sector.
.
If you can't imagine when you played Google search network, you'll find a lot of information that you can use in our business. This is why data science plays a very important role.
.
It's not surprising that it makes the Data Scientist s' career (British name data scientist) play the most important role and charming and interesting profession of the 21th century.
.
Data science, if in the book, he defines it
′′ Study of the process, method or technique to process enormous amounts of data to process to obtain knowledge, understand phenomena, or interpret prediction or prediction, find out patterns or trends from information.
and can be analysed to advise the right choice or take decision for maximum benefit
.
For Data science work, he will have the following steps.
- Questioning my own interest.
- Collect information.
- Data Survey
- Data Analysis (analyze the data)
- Communication and Results Visualization (Communicate and visualize the results)
.
🤔 Also he talks about design thinking... but what is it?
Must say the job of a data scientist
It doesn't end just taking the data we analyzed.
Let's show people how to understand.
.
The application design process is still required.
To use data from our analytics
The word design thinking is the idea. The more good designer it is.
Which Data Scientists Should Have To Design Final Applications
Will meet user demand
.
👉 ++++ Chapter 2 Collection and Exploration +++++
.
This chapter is just going to base.
2.1 Collection of data
In this chapter, I will talk about information that is a virtual thing.
We need to use this internet.

2.2 Data preparation (data preparation)
Content will be available.
- Data Cleaning (data cleansing)
- Data Transformation (data transformation)
In the university. 5 is not much but if in college level, you will find advanced technique like PCA.
- Info Link (combining data)

2.3 Data Exploration (data exploration)
Speaking of using graphs, let's explore the information e
Histogram graph. Box plot diagram (box plot). Distributed diagram (scatter plot)
With an example of programming, pulls out the plot to graph from csv (or xls) file.

2.4 Personal Information
For this topic, if a data scientist is implementing personal data, it must be kept secret.
.
Where the issues of personal information are now available. Personal Data Protection is Done
.
.
👉 ++++ Chapter 3 Data Analysis ++++
.
Divided into 2 parts:
.
3.1 descriptive analysis (descriptive analytics)
Analyzing using the numbers we've studied since
- Proportion or percentage
- Medium measurement of data, average, popular base.
Correlation (Correlation) relationship with programming is easy.
.
.
3.2 predictive analysis (predictive analytics)
.
- numeric prediction is discussed. (numeric prediction)
- Speaking of technique linear regression, a straight line equation that will predict future information.
Including sum of squared errors
Let's see if the straight line graph is fit with the information. (with programming samples)
- Finally mentioned K-NN (K-Nearest Neighbors: K-NN) is the closest way to finding K-N-Neighborhood for classification (Category)

*** Note *****
linear regression กับ K-NN
This is also an algorithm. One of the machine learning (machine learning, one branch of AI)
Kids in the middle of the day, I get to study.
.
.
👉 +++ Chapter 4 Making information pictured and communicating with information +++
.
This chapter doesn't matter much. Think about the scientist after analyzing what data is done. The end is showing it to other people by doing data visualization. (Better summoning)
.
In contents, it's for example using a stick chart, line chart, circular chart, distribution plan.
.
The last thing I can't do is tell a story from information (data story telling) with a message. Be careful when you present information.
.
.
.
*** this note ***
😗 Program language which textbooks mentioned and for example.
It's also python and R language
.
For R language, many people may not be familiar.
The IT graduate may be more familiar with Python.
But anyone from the record line will surely be familiar.
Because R language is very popular in statistical line
And it can be used in data science. Easy and popular. Python
.
But if people from data science move to another line of AI
It's deep learning (deep learning)
Python will be popular with eating.
.
.
#########
😓 Ending. Even I wrote a review myself, I still feel that.
- The university. 5 is it going to be hard? Can a child imagine? What did she do?
- Or was it right that I packed this course into Big Data era?
You can comment.
.
But for sure, both parents and teachers are tired.
Because it's a new content. It's real.
Keep fighting. Thai kids 4.0
.
Note in the review section of the university's textbook. 4 There will be 3 chapters. Read at.
https://www.facebook.com/programmerthai/photos/a.1406027003020480/2403432436613260/?type=3&theater
.
++++++++++++++++++++
Before leaving, let's ask for publicity.
++++++++++++++++++++
Recommend the book ′′ Artificial Intelligence (AI) is not difficult ′′
It can be understood by the number. End of book 1 (Thai language content)
Best seller ranked
In the MEB computer book category.
.
The contents will describe Artificial Intelligence (A) in view of the number. The end.
Without a code of dizzy
With colorful illustrations to see, easy to read.
.
If you are interested, you can order.
👉 https://www.mebmarket.com/web/index.php?action=BookDetails&data=YToyOntzOjc6InVzZXJfaWQiO3M6NzoiMTcyNTQ4MyI7czo3OiJib29rX2lkIjtzOjY6IjEwODI0NiI7fQ&fbclid=IwAR11zxJea0OnJy5tbfIlSxo4UQmsemh_8TuBF0ddjJQzzliMFFoFz1AtTo4
.
Personal like the book. You can see this link.
👉 https://www.dropbox.com/s/fg8l38hc0k9b0md/chapter_example.pdf?dl=0
.
Sorry, paper book. I don't have it yet. Sorry.
.
✍ Written by Thai programmer thai progammerTranslated

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โปรแกรมเมอร์ไทย Thai programmer

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เพจนี้เปิดใช้งานเมื่อ 22 มิถุนายน 2014 เพจนี้เน้นหนักไป ทางการเขียนโปรแกรม คอมพิวเตอร์ และไอที ล้วน ๆ แบบฮาร์ดคอ หรือจะไร้สาระ มุกตลกขำ
ให้สาระด้านไอที คอมพิวเตอร์ และอาชีพโปรแกรมเมอร์ และสายงานด้านคอมพิวเตอร์
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e in python 在 prasertcbs Youtube 的精選貼文

prasertcbs By prasertcbs

2020-05-16 12:58:45 有 2,076 人看過 有 31 人喜歡
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? เทคนิคต่าง ๆ ที่ใช้ในคลิป
1. การ pull image จาก docker
2. การแสดง images ที่มีในเครื่อง
3. การ run postgres container
4. การทำ data persistence ด้วย volume เพื่อเก็บข้อมูลของฐานข้อมูลไว้

# script สำคัญที่ใช้ในคลิปนี้
# postgres on docker hub
https://hub.docker.com/_/postgres

# pull docker image
docker pull postgres

# list images
docker images

# run postgres on docker
docker run --name pegasus --rm -e POSTGRES_PASSWORD=banana -d -p 5432:5432 postgres

# list process
docker ps -a

# exec command in container
docker exec -it pegasus psql -U postgres

# connect to postgres from terminal
psql -U postgres -h localhost

# stop process
docker stop pegasus

# persist data (using volume)
docker run --name pegasus --rm -e POSTGRES_PASSWORD=banana -d -p 5432:5432 -v pgdatavolume:/var/lib/postgresql/data postgres

เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ ► https://www.youtube.com/subscription_center?add_user=prasertcbs
สอน docker ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGJV7UpJs6NVvsf6qaKja9_
สอน PostgreSQL ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGi_NqmIu43B-PsxA0wtnyH
สอน MySQL ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFmJDsZipFCrY6L-0RrBYLT
สอน Microsoft SQL Server 2012, 2014, 2016, 2017 ► https://www.youtube.com/playlist?list=PLoTScYm9O0GH8gYuxpp-jqu5Blc7KbQVn
สอน SQLite ► https://www.youtube.com/playlist?list=PLoTScYm9O0GHjYJA4pfG38M5BcrWKf5s2
สอน SQL สำหรับ Data Science ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGq8M6HO8xrpkaRhvEBsQhw
การเชื่อมต่อกับฐานข้อมูล (SQL Server, MySQL, SQLite) ด้วย Python ► https://www.youtube.com/playlist?list=PLoTScYm9O0GEdZtHwU3t9k3dBAlxYoq59
การใช้ Excel ในการทำงานร่วมกับกับฐานข้อมูล (SQL Server, MySQL, Access) ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGA2sSqNRSXlw0OYuCfDwYk
#prasertcbs_SQL #prasertcbs #prasertcbs_PostgreSQL #docker

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สอนการใช้งาน Excel, VBA, Macro, Word, PowerPoint, SQL, การเขียนโปรแกรมด้วยภาษาต่าง ๆ Python, PHP, Java, C, C# พร้อมตัวอย่างการประยุกต์ การทำเหมืองข้อมูล Data mining, Machine learning การใช้โปรแกรม R, ggplot2 สื่อการสอนโดย รศ.ดร. ประเสริฐ คณาวัฒนไชย ​คณะพาณิชศาสตร์และการบัญชี จุฬาลงกรณ์มหาวิทยาลัย Assoc.Prof. Dr. Prasert Kanawattanachai Chulalongkorn Business School
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e in python 在 prasertcbs Youtube 的最讚貼文

prasertcbs By prasertcbs

2020-05-13 15:54:11 有 2,049 人看過 有 35 人喜歡
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? เทคนิคต่าง ๆ ที่ใช้ในคลิป
1. การ pull image จาก docker
2. การแสดง images ที่มีในเครื่อง
3. การ run mysql container
4. การทำ data persistence ด้วย volume เพื่อเก็บข้อมูลของฐานข้อมูลไว้

# script สำคัญที่ใช้ในคลิปนี้
docker --version

# pull docker image
docker pull mysql

# list images
docker images

# run mysql on docker
docker run --name dolphin --rm -p 3306:3306 -e MYSQL_ROOT_PASSWORD=banana -d mysql

# list processes
docker ps -a

# exec command in container
docker exec -it dolphin mysql -u root -p

# connect to mysql from terminal
* mysql -u root -p -h localhost -P 3306 --protocol=tcp
* mysql -u root -p -P 3306 --protocol=tcp
* mysqlsh root@localhost:3306 --sql

# stop process
docker stop dolphin

# persist data (using volume)
docker run --name dolphin --rm -p 3306:3306 -d -e MYSQL_ROOT_PASSWORD=banana -v mysqlvolume:/var/lib/mysql mysql

เชิญสมัครเป็นสมาชิกของช่องนี้ได้ที่ ► https://www.youtube.com/subscription_center?add_user=prasertcbs
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การเชื่อมต่อกับฐานข้อมูล (SQL Server, MySQL, SQLite) ด้วย Python ► https://www.youtube.com/playlist?list=PLoTScYm9O0GEdZtHwU3t9k3dBAlxYoq59
การใช้ Excel ในการทำงานร่วมกับกับฐานข้อมูล (SQL Server, MySQL, Access) ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGA2sSqNRSXlw0OYuCfDwYk
#prasertcbs_SQL #prasertcbs #prasertcbs_MySQL #docker

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สอนการใช้งาน Excel, VBA, Macro, Word, PowerPoint, SQL, การเขียนโปรแกรมด้วยภาษาต่าง ๆ Python, PHP, Java, C, C# พร้อมตัวอย่างการประยุกต์ การทำเหมืองข้อมูล Data mining, Machine learning การใช้โปรแกรม R, ggplot2 สื่อการสอนโดย รศ.ดร. ประเสริฐ คณาวัฒนไชย ​คณะพาณิชศาสตร์และการบัญชี จุฬาลงกรณ์มหาวิทยาลัย Assoc.Prof. Dr. Prasert Kanawattanachai Chulalongkorn Business School
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e in python 在 Yuka Kinoshita木下ゆうか Youtube 的最佳貼文

Yuka Kinoshita木下ゆうか By Yuka Kinoshita木下ゆうか

2018-01-20 17:00:00 有 421,997 人看過 有 9,348 人喜歡
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Yuka Kinoshita - 木下ゆうか

▼ Profile ▼
・Birthday : 4 February
・Born : Kitakyushu, Fukuoka
・No 1 Female YouTuber in Japan with the most subscribers
・Hobbies : Gourmet, Travel, Fashion, Make up, Music
・My Family ( :猫の顔: )：Mel & Lon

▼ Business Inquiries ▼　
お仕事のお問い合わせはコチラ
info@yuka-kinoshita.com

▼ YouTube ▼
☆ Yuka Kinoshita - 木下ゆうか
https://www.youtube.com/user/kinoyuu0204
☆ 木下ゆうかのゆるちゃん - Yuka Kinoshita 2nd
https://www.youtube.com/channel/UCjpPqow_Rlv0A9RePeJ6nAA

▼ SNS Link ▼
☆ Facebook : https://www.facebook.com/木下ゆうか-KinoshitaYuka-825093884226382/
☆ Instagram : https://www.instagram.com/yuka_kinoshita_0204/
☆ Twitter : https://twitter.com/mochiko0204
☆ Weibo : https://weibo.com/mochiko0204

▼ Photo Book ▼
Yuuka Kinoshita Photo Book - “ yuuka ”
http://kc.kodansha.co.jp/product?item=0000041653

▼ Translation ▼
☆ TURN ON CC FOR SUBTITLES
Thank you for supporting my subtitles always！
If you have captioned / subbed one of my videos, please inform me via E-mail.
I would like to express my gratitude to you all. Thank you very much！
☆ 點 CC 打開字幕觀看
感謝您經常為我上字幕！
如果您有幫我的任何一個影片上了字幕，請 Email 通知我。
我想要好好地表達我的感謝。謝謝您！

Special Thanks ▼
English & Arabic subtitles：Waza_leji(Ieji_San)
チャンネルアート・エンディングイラスト：ケイジェー( Twitter：@K__j_344 )さん
せいこせんせい

素材提供 ▼
PIXTA
#木下ゆうか
#yukakinoshita
#木下佑香
#mukbang
#mukbang
#mukbangjapan
#mukbangeating
#mukbangasmr
#mukbangvideo
#mukbangshow
#eatingshow
#吃貨
#大胃王
#吃貨人生
#吃貨女孩
#吃貨日記

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Yuka Kinoshita木下ゆうか

About author
１８時にアップします！ こんにちは、木下ゆうかです！ 食べる事が大好きで、大食いの動画をメインに投稿しています！ ライブは、Twitter 木下ゆうか Yuka Kinoshita ( @mochiko0204 )で ＃木下ゆうかの晩ごはんライブ　つけてtweetしてます( ¨̮ ) たまーに私生活に関する動画やレビュー動画もアップしてます。 よろしくお願いします\(* ¨̮*)/\(*¨̮ *)/ お手紙などは 〒150-0044 東京都渋谷区円山町28-1 渋谷道玄坂スカイビル8階 株式会社トリドリ 木下ゆうか宛 ※冷蔵・冷凍が必要な、なま物の受付はできません。 でお願いします！ みやぎ絆大使に任命していただきました！ http://www.miyagibussan.or.jp/shop/item_list?category_id=487842&cur=6&sort=5&num=10 I upload videos daily @18:00 Tokyo time (as often as I can) Hello, my name is Kinoshita Yuka! I love to eat and OoGui (eating a lot) is my channel's main focus. Once a week I have started to do an eating livestream (Mukbang) this usually starts every Sunday night @ around 19:00 Tokyo time You can follow me on my Twitter 木下ゆうか　Yuka Kinoshita ( @mochiko0204 ) also make sure to use the #木下ゆうか and I'll tweet it out I look forward to your tweets For letters and packages please send to 150-0044 8F Shibuya Dogen-zaka Sky Building 28-1 Maruyama-cho, Shibuya-ku, Tokyo
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e in python 在 Exponent Function | Python | Tutorial 23 - YouTube 的推薦與評價

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Giraffe Academy is rebranding! I've decided to re-focus the brand of this channel to highlight myself as a developer and teacher! ... <看更多>

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Présente le module math de Python en expliquant rapidement quelles sont les fonctions intégrées ... math.e, constante de Neper, Renvoie la valeur de exp(1).

#72. Blog Posts - MonetDB

MonetDB/e an embedded analytical SQL engine for Windows. - 2020/11/11. The MonetDB/e Python interface for data analytics. - 2020/10/27 ...

#73. Python玩數據(2)：Numpy [1/2] - YC Note

Python 常見的資料型別/ Numpy的數學運算/ Numpy基礎元素：ndarray ... item assignment >>> del e[1] # fail TypeError: 'tuple' object doesn't ...

#74. Python繪製圖形之Matplotllib繪圖- 台部落

Python 繪製圖形之Matplotllib繪圖目錄Python繪製圖形之Matplotllib繪圖 一、繪製二維函數圖1.1 繪製f(x)=sin2(x−2)e−x2 1.2 、繪製sigmoid函數圖: ...

#75. Python中获取异常（Exception）信息- klchang - 博客园

3、e.message. 获得的信息同str(e). 4、采用traceback模块. 需要导入traceback模块，此时获取的信息最全，与python命令行运行程序出现错误信息一致。

#76. O que é Python e por que aprender? Guia para Iniciantes

O sistema Python permite o desenvolvimento e a criação de diversos programas. Além disso, é uma das linguagens de programação mais utilizadas no ...

#77. e python Code Example - Code Grepper

Queries related to “e python” · python exponential · exponential python · exponential distribution python · exponential function python · python exponential operator ...

#78. Esercizi Python Svolti

Esercizi di Programmazione Python su Calcoli Matematici, Funzioni, Stringhe, Liste, Algoritmi Ricorsivi, Moduli e Programmazione a Oggetti.

#79. Python 挑戰題：「只挑出重複出現的元素」參考解析

列表（List）是Python 中重要的一種容器（Container），在#雙週Python程式設計非入門挑戰中，我們也設計關於列表的 ... if d[e] > 1 and e not in L2:

#80. Numbers in Python - OverIQ.com

Python uses special a syntax to write numbers in Scientific notation. For example, 0.000000123 can be written as 1.23E-7 .

#81. Python Math - Stanford Computer Science

To understand math in Python, we'll look at the different operators like + in ... Float values can be written in scientific notation with the letter 'e' or ...

#82. 21. Formatted Output | Python Tutorial

Floating point decimal format. g, Same as "e" if exponent is greater than -4 or less than precision, "f" otherwise. G ...

#83. scikit-learn: machine learning in Python — scikit-learn 1.1.3 ...

Machine Learning in Python · Simple and efficient tools for predictive data analysis · Accessible to everybody, and reusable in various contexts · Built on NumPy, ...

#84. Uso de Python para scripts e automação - Microsoft Learn

Introdução ao uso do Python para script, automação e administração de sistemas no Windows.

#85. [Python] 擷取部份的字串：Slicing - 藏經閣

在Python 中，我們常常要擷取字串中的某些部份，我們可以用Slicing (分割) 的方式，其方法與串列中以索引來取值的方式很像。

#86. How to suppress scientific notation in Python - Adam Smith

Suppressing scientific notation represents these numbers in full decimal format. For example, the number 1.2e-6 in scientific notation is 0.0000012 in decimal ...

#87. Keras: the Python deep learning API

Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it ...

#88. MongoDB Python Connection

Connecting Python and MongoDB Atlas. PyMongo has a set of packages for Python MongoDB interaction. For the following tutorial, start by creating a virtual ...

#89. Different Methods to Check for Prime Numbers in Python

Different Methods to Check for Prime Numbers in Python. number of likes. 1 Like. 1.6k views. 8 min read. Updated on Jun 20, 2022. e ...

#90. Python exp Function - Tutorial Gateway

The Python exp math function is used to calculate the power of exponential E, Where E is Euler's number approximately equal to 2.71828. In this section, we ...

#91. Python quickstart | Sheets API - Google Developers

Create a Python command-line application that makes requests to the Google Sheets API. ... A2:E' def main(): """Shows basic usage of the Sheets API.

#92. Cos'è Python e per cosa si usa | Guida Python

Oggi esistono numerosi linguaggi di programmazione, ma cosa spinge ad usare Python, cosa c'è di particolare in questo linguaggio?

#93. TensorFlow

An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.

#94. Python | 数値リテラルを記述する

浮動小数点では非常に大きな数値や非常に小さな数値について指数表記も利用できます。 8.5e+5 2.34e-4. なお 8.5e+5 というのは 8.5×100000=850000 のことです。

#95. Python for Unity | 2.0.1-preview.2

Potential benefits of using Python in your Unity project include: Automating scene and sequence assembly in the context of using Unity as a real-time renderer.

#96. Graph 35+E II Avec Python - Calculatrice Graphique

La Graph 35+E II, la calculatrice N°1 au lycée, maintenant équipée de Python ➽ Programmation Python ✓ Equations ✓ Matrices.

#97. Le calcul approché de nombres remarquables avec Python

Objectif Écrire un programme Python permettant de calculer une valeur approchée ... déterminer les valeurs approchées des nombres remarquables π, e, ln(2), ai.

#98. Python in Visual Studio Code

Install Python and the Python extension. The tutorial guides you through installing Python and using the extension. You must install a Python interpreter ...

#99. DataCamp: Learn R, Python & Data Science Online

Learn Data Science from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.