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- html - When to use lt;p gt; vs. lt;br gt; - Stack Overflow
You want to use the <p> tag when you need to break up two streams of information into separate thoughts <p> Now is the time for all good men to come to the aid of their country < p> <p>The quick brown fox jumped over the lazy sleeping dog < p> The <br > tag is used as a forced line break within the text flow of the web page Use it when you
- html - When to use lt;span gt; instead lt;p gt;? - Stack Overflow
The <p> tag is a paragraph, and as such, it is a block element (as is, for instance, h1 and div), whereas span is an inline element (as, for instance, b and a) Block elements by default create some whitespace above and below themselves, and nothing can be aligned next to them, unless you set a float attribute to them
- PC 端好用的视频播放器有哪些？ - 知乎
推荐几款流畅、占内存较小、界面好看的PC端视频播放器。
- 2K，4K的屏幕分辨率到底是多少？ - 知乎
给你看看这图，因为屏幕的不同的比例，划分起来就挺费劲的。 2k 不是1080p 像素点的两倍，而是1 7倍。
- What is the difference between images in P and L mode in PIL?
If you have a P mode image, that means it is palettised That means there is a palette with up to 256 different colours in it, and instead of storing 3 bytes for R, G and B for each pixel, you store 1 byte which is the index into the palette This confers both advantages and disadvantages
- 有问题，就会有答案 - 知乎
知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容，聚集了中文互联网科技、商业、影视、时
- Named regular expression group (?P lt;group_name gt;regexp): what does P . . .
So I don't know what the original choice of P was motivated by -- pattern? placeholder? penguins? -- but you can understand why I've always associated it with Python Which considering that (1) I don't like regular expressions and avoid them wherever possible, and (2) this thread happened fifteen years ago, is kind of odd
- Find p-value (significance) in scikit-learn LinearRegression
An easy way to pull of the p-values is to use statsmodels regression: import statsmodels api as sm mod = sm OLS(Y,X) fii = mod fit() p_values = fii summary2() tables[1]['P>|t|'] You get a series of p-values that you can manipulate (for example choose the order you want to keep by evaluating each p-value):
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