Normalize.css has better documentation. The normalize.css code is documented inline as well as more comprehensively in the GitHub Wiki. This means you can find out what each line of code is doing, why it was included, what the differences are between browsers, and more easily run your own tests.
String.prototype.normalize() is correct in a technical sense, because normalize() is a dynamic method you call on instances, not the class itself. The point of normalize() is to be able to compare Strings that look the same but don't consist of the same characters, as shown in the example code on MDN.
Normalize.css is a well known reset stylesheet that is used to align some base styles across browsers to set as a common ground for development. Some developers find it redundant, or may prefer to use their own reset stylesheets.
Approach 1: use normalize.css as a starting point for your own project’s base CSS, customising the values to match the design’s requirements. Approach 2: include normalize.css untouched and build upon it, overriding the defaults later in your CSS if necessary.
NOTE: I am using version 5.0.0 of normalize.css. If you use version 6.0.0 or higher, the font will be different. All the opinionated rules were removed from normalize.css in that version. Update 17/5/2018: Updated to use Webpack 4 and React 16.
Note that the 'norm' argument of the normalize function can be either 'l1' or 'l2' and the default is 'l2'. If you want your vector's sum to be 1 (e.g. a probability distribution) you should use norm='l1' in the normalize function.
I have a dataframe in pandas where each column has different value range. For example: df: A B C 1000 10 0.5 765 5 0.35 800 7 0.09 Any idea how I can normalize the columns of this
For example: for all x in X: x->(x - min(x))/(max(x)-min(x) will normalize and stretch the values of X to [0..1] range. Another example: for all x in X: x->(x - mean(X))/stdv(x) will transform the image to have mean=0, and standard deviation = 1.
I want to do is load a json file of forex historical price data by Pandas and do statistic with the data. I have go through many topics on Pandas and parsing json file. I want to pass a json file w...
Is there a standard way, in Python, to normalize a unicode string, so that it only comprehends the simplest unicode entities that can be used to represent it ? I mean, something which would transl...
