C vs HAML: What are the differences?
C: One of the most widely used programming languages of all time. ; HAML: HTML Abstraction Markup Language - A Markup Haiku. Haml is a markup language that’s used to cleanly and simply describe the HTML of any web document, without the use of inline code. Haml functions as a replacement for inline page templating systems such as PHP, ERB, and ASP. However, Haml avoids the need for explicitly coding HTML into the template, because it is actually an abstract description of the HTML, with some code to generate dynamic content.
C and HAML can be categorized as "Languages" tools.
"Performance" is the top reason why over 52 developers like C, while over 66 developers mention "Clean and simple" as the leading cause for choosing HAML.
HAML is an open source tool with 3.44K GitHub stars and 544 GitHub forks. Here's a link to HAML's open source repository on GitHub.
According to the StackShare community, C has a broader approval, being mentioned in 64 company stacks & 251 developers stacks; compared to HAML, which is listed in 113 company stacks and 40 developer stacks.
Python has become the most popular language for machine learning right now since almost all machine learning tools provide service for this language, and it is really to use since it has many build-in objects like Hashtable. In C, you need to implement everything by yourself.
C++ is one of the most popular programming languages in graphics. It has many fancy libraries like eigen to help us process matrix. I have many previous projects about graphics based on C++ and this time, we also need to deal with graphics since we need to analyze movements of the human body. C++ has much more advantages than Java. C++ uses only compiler, whereas Java uses compiler and interpreter in both. C++ supports both operator overloading and method overloading whereas Java only supports method overloading. C++ supports manual object management with the help of new and delete keywords whereas Java has built-in automatic garbage collection.
As a personal research project I wanted to add post-quantum crypto KEM (key encapsulation) algorithms and new symmetric crypto session algorithms to openssh. I found the openssh code and its channel/context management extremely complex.
Concurrently, I was learning Go. It occurred to me that Go's excellent standard library, including crypto libraries, plus its much safer memory model and string/buffer handling would be better suited to a secure remote shell solution. So I started from scratch, writing a clean-room Go-based solution, without regard for ssh compatibility. Interactive and token-based login, secure copy and tunnels.
Of course, it needs a proper security audit for side channel attacks, protocol vulnerabilities and so on -- but I was impressed by how much simpler a client-server application with crypto and complex terminal handling was in Go.
$ sloc openssh-portable Languages Files Code Comment Blank Total CodeLns Total 502 112982 14327 15705 143014 100.0% C 389 105938 13349 14416 133703 93.5% Shell 92 6118 937 1129 8184 5.7% Make 16 468 37 131 636 0.4% AWK 1 363 0 7 370 0.3% C++ 3 79 4 18 101 0.1% Conf 1 16 0 4 20 0.0% $ sloc xs Languages Files Code Comment Blank Total CodeLns Total 34 3658 1231 655 5544 100.0% Go 19 3230 1199 507 4936 89.0% Markdown 2 181 0 76 257 4.6% Make 7 148 4 50 202 3.6% YAML 1 39 0 5 44 0.8% Text 1 30 0 7 37 0.7% Modula 1 16 0 2 18 0.3% Shell 3 14 28 8 50 0.9%
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