誰說工程師沒有情感?這次就來揭露工程師們的各種愛恨情仇。
同樣是工程師,但是人人各有所好。這次邀請到學吧少女的工程師Wei Chen 一起回答10個survey中的問題,並根據 Stack Overflow 在2020年對於2019年的資訊工程調查結果,做討論與分享我們的看法。
1. 最受歡迎/熱門/常用的程式語言 The Most Popular Programming Language
2. 最喜歡的程式語言 The Most Loved Programming Language
3. 最討厭的程式語言 The Most Dreaded Programming Language
4. 最想學/嘗試的程式語言 The Most Wanted Programming Language
5. 最有錢途的程式語言 The Highest Paid Programming Language
6. 最有錢途的資訊工程相關職位 The Highest Paid Developer Type
7. 女性工程師參與度 The Percentage of Female Survey
Respondents
8. 最看重的工作條件或要素 The Most Important Job Factor
9. 面對面 或 線上交談?IRL or Online Chat?
10. 鳳梨披薩?Pineapple on Pizza?
#工程師都愛StackOverflow #今年女工程師會更多 #鳳梨披薩萬歲
一定要看到影片最後面並且在「YouTube影片下方」按讚留言訂閱分享唷!
歡迎留言告訴我你的想法,或是你想認識的程式語言唷!
每(隔週)週六晚上9點更新,請記得開啟YouTube🔔通知!
https://youtu.be/eBliFmtMGqU
同時也有1部Youtube影片,追蹤數超過2萬的網紅Untyped 對啊我是工程師,也在其Youtube影片中提到,10個工程師的愛恨情仇-2020全球資訊工程調查看一看 Stack Overflow ft. Wei Chen | 10 Preferences of Software Engineers - 誰說工程師沒有情感?這次就來揭露工程師們的各種愛恨情仇。 同樣是工程師,但是人人各有所好。這次邀請到工程...
「most popular programming language」的推薦目錄:
- 關於most popular programming language 在 Untyped 對啊我是工程師 Facebook 的最佳貼文
- 關於most popular programming language 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最佳解答
- 關於most popular programming language 在 美國在台協會 AIT Facebook 的最讚貼文
- 關於most popular programming language 在 Untyped 對啊我是工程師 Youtube 的最讚貼文
- 關於most popular programming language 在 PYPL PopularitY of Programming Language index 的評價
- 關於most popular programming language 在 The top programming languages | The State of the Octoverse 的評價
- 關於most popular programming language 在 Comparing tag trends with our Most Loved programming ... 的評價
most popular programming language 在 โปรแกรมเมอร์ไทย Thai programmer Facebook 的最佳解答
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
most popular programming language 在 美國在台協會 AIT Facebook 的最讚貼文
你是一名女性程式設計師嗎?現在有一個讓你充實程式語言的好機會!如果你對物聯網時代最熱門且實用的Python程式語言有興趣,趕快來加入PyLadies主辦的Python讀書會,不但可以認識很多朋友,學習方式又非常輕鬆有趣!
活動時間:2017/01/07 14:30-17:00
課程地點:松山文創園區-美國創新中心-多功能教室(臺北市信義區光復南路133號1樓)
*此活動限女性
*此活動適合有 Python 基礎的人參加
報名網址:
http://www.accupass.com/eve…/register/1612260931041425424366
本次研讀書本為: Effective Python: 59 Specific Ways to Write Better Python(中文版:Effective Python: 寫出良好 Python 程式的59個具體做法)
Are you a female programmer? We have a great opportunity for you! Learn Python, a popular programming language for Internet of Things (IoT), in the most social and fun way! Join our Python reading group, hosted by PyLadies, to read about Python and learn how to use it more effectively.
Date and Time: January 7th 2:30-5:00pm
Place: American Innovation Center (at the Songshan Cultural and Creative Park)
Who: Women of all ages
Required prerequisite: Basic Python knowledge is required to attend
Register here: http://www.accupass.com/eve…/register/1612260931041425424366
most popular programming language 在 Untyped 對啊我是工程師 Youtube 的最讚貼文
10個工程師的愛恨情仇-2020全球資訊工程調查看一看 Stack Overflow ft. Wei Chen | 10 Preferences of Software Engineers
-
誰說工程師沒有情感?這次就來揭露工程師們的各種愛恨情仇。
同樣是工程師,但是人人各有所好。這次邀請到工程師Wei Chen 一起回答10個survey中的問題,並根據 Stack Overflow 在2020年對於2019年的資訊工程調查結果,做討論與分享我們的看法。
1. 最受歡迎/熱門/常用的程式語言 The Most Popular Programming Language 0:35
2. 最喜歡的程式語言 The Most Loved Programming Language 1:48
3. 最討厭的程式語言 The Most Dreaded Programming Language 3:30
4. 最想學/嘗試的程式語言 The Most Wanted Programming Language 4:51
5. 最有錢途的程式語言 The Highest Paid Programming Language 5:51
6. 最有錢途的資訊工程相關職位 The Highest Paid Developer Type 6:50
7. 女性工程師參與度 The Percentage of Female Survey Respondents 8:28
8. 最看重的工作條件或要素 The Most Important Job Factor 9:37
9. 面對面 或 線上交談?IRL or Online Chat? 10:55
10. 鳳梨披薩?Pineapple on Pizza? 12:07
好奇「Untyped 對啊我是工程師」是如何誕生的嗎?
來聽聽學吧少女的訪談 👉https://youtu.be/bZXGuZoYDWA
#工程師都愛StackOverflow #今年女工程師會更多 #鳳梨披薩萬歲
一定要看到影片最後面並且在「YouTube影片下方」按讚留言訂閱分享唷!
-
歡迎留言告訴我你的想法,或是你想認識的程式語言唷!
每(隔週)週六晚上9點更新,請記得開啟YouTube🔔通知!
-
【相關連結】
2019 資訊工程調查 Stack Overflow Developer Survey: [https://insights.stackoverflow.com/survey/2019]
【What I used to make this video】
個人電腦:Apple MacBook Pro [https://amzn.to/2HKgI2T]
拍攝錄音錄影: iPhone X [https://amzn.to/3c0s6Fu]
相機: Canon 80D [https://amzn.to/2VVmiYz]
錄音: Rode [https://amzn.to/3aqnzL2]
鍵盤: Logitech MX Keys Wireless Keyboard [https://amzn.to/3awqi5L]
【愛屋及烏】
Facebook 臉書粉專 👉 [https://www.facebook.com/untyped/]
Instagram 👉 [[https://www.instagram.com/untypedcoding/]
合作邀約 👉 untypedcoding@gmail.com
-
Untyped 對啊我是工程師 - There are so many data types in the world of computer science, so are the people who write the code. We aim to UNTYPE the stereotype of engineers and of how coding is only for a certain type of people.
凱心琳: 一個喜歡電腦科學邏輯推理,在科技圈努力為性別平等奮鬥的女工程師。
-
This video contains affiliate links, which means that if you click on one of the product links, I'll receive a small commission.
圖片影片音效:[giphy.com] [pngwave.com][freesound.org]
Walk Around by Roa https://soundcloud.com/roa_music1031
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
![post-title](https://i.ytimg.com/vi/eBliFmtMGqU/hqdefault.jpg)
most popular programming language 在 The top programming languages | The State of the Octoverse 的推薦與評價
The top programming languages · JavaScript stays as the #1 most used language · IaC gains with languages like HCL growing most · Python grows with a 22.5% increase ... ... <看更多>
most popular programming language 在 Comparing tag trends with our Most Loved programming ... 的推薦與評價
Rust, Elixir, Clojure, Typescript, and Julia are at the top of the list of Most Loved Programming Languages. However, in looking at the last ... ... <看更多>
most popular programming language 在 PYPL PopularitY of Programming Language index 的推薦與評價
PYPL PopularitY of Programming Language ; 1, Python, 27.27 %, -0.5 % ; 2, Java, 16.35 %, -1.6 %. ... <看更多>