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I know that data science is a broad and somewhat vague term but this - We will cover: Core features of modern JavaScript Programming with callback

I know that data science is a broad and somewhat vague term but this - We will cover: Core features of modern JavaScript Programming with callbacks and promises Creating objects and classes Writing HTML and CSS Creating interactive pages with React Building data services Testing Data visualization Combining everything to create a three-tier web application - this isn't data science.

11235813213455 5y ago
out of context it's not data science
bryanrasmussen 5y ago
nobody ever writes books assuming you know how to use the language, I suppose it decreases customer base.
- HWR_14 5y ago
  It decreases the amount of boilerplate "how to program in X" text you have to write. Producing text, especially novel text, is expensive in a non-fiction book.
- rapfaria 5y ago
  While understanble, I hate this. "Here's 100 pages of python before we get to the good stuff", which ends up not even being good. Publishers should just offer a free e-book of said language, and make it a requirement.
  - deleted 5y ago
    [deleted]
jhbadger 5y ago
The book does cover a lot of basic Javascript material, as its target is actual natural scientists who may not have much experience with the language, but towards the end it does cover things like Data-Forge (which is a data science library in Javascript)
d--b 5y ago
Well the problem with “data science” is that it costs a shit ton of money but rarely integrates into anything. A book about wiring data science models into real user facing application maybe isn’t data science, but sure is useful...
zitterbewegung 5y ago
It's more like Presenting and Serving Models using Javascript for Data Science.
jiofih 5y ago
I assume it’s aimed at data scientists who want to learn Javascript? No point teaching DS concepts here. A better name would be “JS for data scientists”
javierluraschi 5y ago
I'm glad more people are doing DS/ML/AI with JavaScript, thanks for this book and keep up the great work! -- We are also working in this space, would love to connect, you can find me in javier at hal9.ai
jhgb 5y ago
Presumably that's why the "JavaScript for" prefix precedes it?
nkmnz 5y ago
The title is „JavaScript for Data Science“, not „Data Science for JavaScript“. It’s like... in a bar: they will serve a beer for you, so they have the beer and you have you. For a book called „JS for DS“, you should have the the DS while they bring the JS. Compare this with: „Data wrangling with JavaScript“ [1] [1] https://www.amazon.de/Data-Wrangling-JavaScript-Ashley-Davis/dp/1617294845 https://www.amazon.de/Data-Wrangling-JavaScript-Ashley-Davis...
zwaps 5y ago
I get your point, but as someone doing data science and having no idea about JavaScript, this is actually precisely what I need. Like, all the stuff "for my data science", such as making a visualization website etc.
bluishgreen 5y ago
"JavaScript relies heavily on callback functions: Instead of a function giving us a result immediately, we give it another function that tells it what to do next. Many other languages use them as well, but JavaScript is often the first place that programmers with data science backgrounds encounter them." That sentence from the book clarifies a lot for me. It is Javascript for Data Science People. Taken in that context this is an excellent book written with empathy for the Data Science user who is usually making uneasy excursions which they hope and pray is only temporary into Javascript and running back to Python the first time they encounter a Promise or a Callback.

11235813213455 5y ago

out of context it's not data science

bryanrasmussen 5y ago

nobody ever writes books assuming you know how to use the language, I suppose it decreases customer base.

HWR_14 5y ago
It decreases the amount of boilerplate "how to program in X" text you have to write. Producing text, especially novel text, is expensive in a non-fiction book.
rapfaria 5y ago
While understanble, I hate this. "Here's 100 pages of python before we get to the good stuff", which ends up not even being good. Publishers should just offer a free e-book of said language, and make it a requirement.
- deleted 5y ago
  [deleted]

jhbadger 5y ago

The book does cover a lot of basic Javascript material, as its target is actual natural scientists who may not have much experience with the language, but towards the end it does cover things like Data-Forge (which is a data science library in Javascript)

d--b 5y ago

Well the problem with “data science” is that it costs a shit ton of money but rarely integrates into anything. A book about wiring data science models into real user facing application maybe isn’t data science, but sure is useful...

zitterbewegung 5y ago

It's more like Presenting and Serving Models using Javascript for Data Science.

jiofih 5y ago

I assume it’s aimed at data scientists who want to learn Javascript? No point teaching DS concepts here. A better name would be “JS for data scientists”

javierluraschi 5y ago

I'm glad more people are doing DS/ML/AI with JavaScript, thanks for this book and keep up the great work! -- We are also working in this space, would love to connect, you can find me in javier at hal9.ai

jhgb 5y ago

Presumably that's why the "JavaScript for" prefix precedes it?

nkmnz 5y ago

The title is „JavaScript for Data Science“, not „Data Science for JavaScript“. It’s like... in a bar: they will serve a beer for you, so they have the beer and you have you. For a book called „JS for DS“, you should have the the DS while they bring the JS. Compare this with: „Data wrangling with JavaScript“ [1] [1] https://www.amazon.de/Data-Wrangling-JavaScript-Ashley-Davis/dp/1617294845 https://www.amazon.de/Data-Wrangling-JavaScript-Ashley-Davis...

zwaps 5y ago

I get your point, but as someone doing data science and having no idea about JavaScript, this is actually precisely what I need. Like, all the stuff "for my data science", such as making a visualization website etc.

bluishgreen 5y ago

"JavaScript relies heavily on callback functions: Instead of a function giving us a result immediately, we give it another function that tells it what to do next. Many other languages use them as well, but JavaScript is often the first place that programmers with data science backgrounds encounter them." That sentence from the book clarifies a lot for me. It is Javascript for Data Science People. Taken in that context this is an excellent book written with empathy for the Data Science user who is usually making uneasy excursions which they hope and pray is only temporary into Javascript and running back to Python the first time they encounter a Promise or a Callback.