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。。。
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...
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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
e in python 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最佳貼文
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
e in python 在 prasertcbs Youtube 的最佳解答
? 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
![post-title](https://i.ytimg.com/vi/YuItTp9tf8s/hqdefault.jpg)
e in python 在 prasertcbs Youtube 的精選貼文
? 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
สอน docker ► https://www.youtube.com/watch?v=CFIwQvBY_MM&list=PLoTScYm9O0GGJV7UpJs6NVvsf6qaKja9_
สอน MySQL ► https://www.youtube.com/playlist?list=PLoTScYm9O0GFmJDsZipFCrY6L-0RrBYLT
สอน PostgreSQL ► https://www.youtube.com/playlist?list=PLoTScYm9O0GGi_NqmIu43B-PsxA0wtnyH
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_MySQL #docker
![post-title](https://i.ytimg.com/vi/UCMLoo-eD2o/hqdefault.jpg)
e in python 在 Yuka Kinoshita木下ゆうか Youtube 的最佳貼文
Yuka Kinoshita - 木下ゆうか
▼ Profile ▼
・Birthday : 4 February
・Born : Kitakyushu, Fukuoka
・No 1 Female YouTuber in Japan with the most subscribers
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・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
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#yukakinoshita
#木下佑香
#mukbang
#mukbang
#mukbangjapan
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#mukbangasmr
#mukbangvideo
#mukbangshow
#eatingshow
#吃貨
#大胃王
#吃貨人生
#吃貨女孩
#吃貨日記
![post-title](https://i.ytimg.com/vi/Esxz06XGnR8/hqdefault.jpg)
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