In this tutorial i will talk about how to indent HTML code.
Why indent your code?
Hard to figure out where code ends & text/content begins
Hard to see where the (/p) is, even with wrapping turned on
Start (p) & end (/p) are at same level, so it's easy to see that you've closed code & also see where code starts & ends
Easy to differentiate between code & text/content
Spaces or tabs? (Spaces!)
Should you use spaces or tabs for indenting? A debate has raged on this topic for decades, with different developers insisting that theirs is the right choice. WebSanity uses spaces, for various reasons, so that is the right choice, clearly.
The document component of HTML is known as an HTML element. HTML element helps in displaying the web pages. An HTML document is a mixture of text nodes and HTML elements.
The simple fundamental components oh HTML is
HTML helps in creating web pages. In web pages, there are texts, pictures, colouring schemes, tables, and a variety of other things. HTML allows all these on a web page.
There are a lot of attributes in HTML. It may get difficult to memorize these attributes. HTML is a tricky concept. Sometimes it gets difficult to find a single mistake that doesn’t let the web page function properly.
Many minor things are to be kept in mind in HTML. To complete an HTML assignment, it is always advisable to seek help from online experts. These experts are well trained and acknowledged with the subject. They provide quality content within the prescribed deadline. With several positive reviews, the online expert help for HTML assignment is highly recommended.
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Static code analysis refers to the technique of approximating the runtime behavior of a program. In other words, it is the process of predicting the output of a program without actually executing it.
Lately, however, the term “Static Code Analysis” is more commonly used to refer to one of the applications of this technique rather than the technique itself — program comprehension — understanding the program and detecting issues in it (anything from syntax errors to type mismatches, performance hogs likely bugs, security loopholes, etc.). This is the usage we’d be referring to throughout this post.
“The refinement of techniques for the prompt discovery of error serves as well as any other as a hallmark of what we mean by science.”
We cover a lot of ground in this post. The aim is to build an understanding of static code analysis and to equip you with the basic theory, and the right tools so that you can write analyzers on your own.
We start our journey with laying down the essential parts of the pipeline which a compiler follows to understand what a piece of code does. We learn where to tap points in this pipeline to plug in our analyzers and extract meaningful information. In the latter half, we get our feet wet, and write four such static analyzers, completely from scratch, in Python.
Note that although the ideas here are discussed in light of Python, static code analyzers across all programming languages are carved out along similar lines. We chose Python because of the availability of an easy to use
ast module, and wide adoption of the language itself.
Before a computer can finally “understand” and execute a piece of code, it goes through a series of complicated transformations:
As you can see in the diagram (go ahead, zoom it!), the static analyzers feed on the output of these stages. To be able to better understand the static analysis techniques, let’s look at each of these steps in some more detail:
The first thing that a compiler does when trying to understand a piece of code is to break it down into smaller chunks, also known as tokens. Tokens are akin to what words are in a language.
A token might consist of either a single character, like
(, or literals (like integers, strings, e.g.,
Bob, etc.), or reserved keywords of that language (e.g,
def in Python). Characters which do not contribute towards the semantics of a program, like trailing whitespace, comments, etc. are often discarded by the scanner.
Python provides the
tokenize module in its standard library to let you play around with tokens:
code = b"color = input('Enter your favourite color: ')"
for token in tokenize.tokenize(io.BytesIO(code).readline):
TokenInfo(type=62 (ENCODING), string='utf-8')
TokenInfo(type=1 (NAME), string='color')
TokenInfo(type=54 (OP), string='=')
TokenInfo(type=1 (NAME), string='input')
TokenInfo(type=54 (OP), string='(')
TokenInfo(type=3 (STRING), string="'Enter your favourite color: '")
TokenInfo(type=54 (OP), string=')')
TokenInfo(type=4 (NEWLINE), string='')
TokenInfo(type=0 (ENDMARKER), string='')
(Note that for the sake of readability, I’ve omitted a few columns from the result above — metadata like starting index, ending index, a copy of the line on which a token occurs, etc.)
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The prospect of learning HTML can seem confusing at first: where to begin, what to learn, the best ways to learn — it can be difficult to get started. In this article, we’ll explore the best ways for learning HTML to assist you on your programming journey.
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html for beginners
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HTML tags are keywords used in HTML to display web-pages with certain properties. They are further used for defining HTML elements. An HTML element consists of a starting tag, some content, and an ending tag. The web browser reads the HTML document from top to bottom, left to right. Each HTML tag defines a new property that helps in rendering the website.
The ‘<>’ brackets contain an HTML tag. There are two types of HTML tags- empty tags or singleton tags and container tags. Singleton tags or empty tags do not contain any content such as an image or a paragraph and hence do not need to be closed, whereas container tags should be closed.
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