Async JavaScript by Trevor Burnham

By Trevor Burnham

Trevor Burnham, "Async JavaScript"
English | 2012 | 104 pages | EPUB | three MB

With Async JavaScript, you’ll advance a deeper realizing of the JavaScript language. You’ll begin with a ground-up primer at the JavaScript occasion model—key to warding off a number of the commonest error JavaScripters make. From there you’ll see instruments and layout styles for turning that conceptual realizing into sensible code.

The thoughts within the ebook are illustrated with runnable examples drawn from either the browser and the Node.js server framework, incorporating complementary libraries together with jQuery, Backbone.js, and Async.js. You’ll how one can create dynamic web content and hugely concurrent servers via studying the artwork of dispensing occasions to the place they should be dealt with, instead of nesting callbacks inside of callbacks inside of callbacks.

Async JavaScript gets you up and working with genuine internet improvement fast. by the point you’ve complete the guarantees bankruptcy, you’ll be parallelizing Ajax requests or working animations in series. via the tip of the booklet, you’ll even know the way to leverage internet employees and AMD for JavaScript functions with state of the art functionality. most significantly, you’ll have the information you want to write async code with confidence.

What you need
Basic wisdom of JavaScript is usually recommended. for those who consider that you’re less than velocity, see the “Resources for studying JavaScript” part within the preface.

Table of Contents
Chapter 1. figuring out JavaScript Events
Chapter 2. allotting Events
Chapter three. can provide and Deferreds
Chapter four. move keep watch over with Async.js
Chapter five. Multithreading with Workers
Chapter 6. Async Script Loading

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9. For more information about using colors, see Chapter 12. 5. Coloring Negative and Positive Bars Differently Problem You want to use different colors for negative and positive-valued bars. Solution We’ll use a subset of the climate data and create a new column called pos, which indi‐ cates whether the value is positive or negative: library(gcookbook) # For the data set csub <- subset(climate, Source=="Berkeley" & Year >= 1900) csub$pos <- csub$Anomaly10y >= 0 csub Source Berkeley Berkeley Berkeley ...

Frame': 6 obs. 4, p. 270" ggplot(BOD, aes(x=Time, y=demand)) + geom_bar(stat="identity") # Convert Time to a discrete (categorical) variable with factor() ggplot(BOD, aes(x=factor(Time), y=demand)) + geom_bar(stat="identity") 20 | Chapter 3: Bar Graphs Figure 3-2. Left: bar graph of values (with stat="identity”) with a continuous x-axis; right: with x variable converted to a factor (notice that the space for 6 is gone) In these examples, the data has a column for x values and another for y values.

2. Grouping Bars Together Problem You want to group bars together by a second variable. Solution Map a variable to fill, and use geom_bar(position="dodge"). 47 We’ll map Date to the x position and map Cultivar to the fill color (Figure 3-4): ggplot(cabbage_exp, aes(x=Date, y=Weight, fill=Cultivar)) + geom_bar(position="dodge", stat="identity") 22 | Chapter 3: Bar Graphs Figure 3-4. Graph with grouped bars Discussion The most basic bar graphs have one categorical variable on the x-axis and one contin‐ uous variable on the y-axis.

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