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C++
C++

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262
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C++ vs HAML: What are the differences?

What is C++? Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation. C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized.

What is HAML? HTML Abstraction Markup Language - A Markup Haiku. Haml is a markup language that鈥檚 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 belong to "Languages" category of the tech stack.

"Performance" is the top reason why over 146 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 199 company stacks & 371 developers stacks; compared to HAML, which is listed in 113 company stacks and 40 developer stacks.

- No public GitHub repository available -

What is C++?

C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized.

What is HAML?

Haml is a markup language that鈥檚 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.
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What are some alternatives to C++ and HAML?
C
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
PHP
Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Java
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
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Decisions about C++ and HAML
Russel Werner
Russel Werner
Lead Engineer at StackShare | 11 upvotes 170.5K views
atStackShareStackShare
Sass
Sass
HAML
HAML
React
React
Glamorous
Glamorous
JavaScript
JavaScript
Emotion
Emotion
#Inlinecss

When we rebooted our front-end stack earlier this year, we wanted to have a consolidated and friendly developer experience. Up to that point we were using Sass and BEM. There was a mix of HAML views, React components and Angular. Since our ongoing development was going to be exclusively in React, we wanted to shift to an inline styling library so the "wall of classnames" could be eliminated. The ever-shifting landscape of inline CSS libraries for React is sometimes difficult to navigate.

We decided to go with Glamorous for a few reasons:

1) Previous team experience with this library 2) We can write our styles in plain JavaScript (which brings many benefits) 3) It supports server-side rendering 4) It has great composition patterns

As you may or may not know, Glamorous has ceased active development and been mostly superseded by Emotion. We are planning to migrate to either Emotion or @styled-components in the near future, and I'll write another Stack Decision when we get there!

#inlinecss

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Dima Korolev
Dima Korolev
Principal Maintainer at Current | 3 upvotes 19.5K views
atFriendlyDataFriendlyData
Ruby
Ruby
C++
C++
#BNF
#NLP
#Grammar

Ruby NLP C++ Grammar #BNF

At FriendlyData we had a Ruby-based pipeline for natural language processing. Our technology is centered around grammar-based natural language parsing, as well as various product features, and, as the core stack of the company historically is Ruby, the initial version of the pipeline was implemented in Ruby as well.

As we were entering the exponential growth phase, both technology- and product-wise, we looked into how could we speed up and extend the performance and flexibility of our [meta-]BNF-based parsing engine. Gradually, we built the pieces of the engine in C++.

Ultimately, the natural language parsing stack spans three universes and three software engineering paradigms: the declarative one, the functional one, and the imperative one. The imperative one was and remains implemented in Ruby, the functional one is implemented in a functional language (this part is under the NDA, while everything I am talking about here is part of the public talks we gave throughout 2017 and 2018), and the declarative part, which can loosely be thought of as being BNF-based, is now served by the C++ engine.

The C++ engine for the BNF part removed the immediate blockers, gave us 500x+ performance speedup, and enabled us to launch new product features, most notably query completions, suggestions, and spelling corrections.

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Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber | 22 upvotes 1.2M views
atUber TechnologiesUber Technologies
Jaeger
Jaeger
Python
Python
Java
Java
Node.js
Node.js
Go
Go
C++
C++
Kubernetes
Kubernetes
JavaScript
JavaScript
Red Hat OpenShift
Red Hat OpenShift
C#
C#
Apache Spark
Apache Spark

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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Martin Lonkwitz
Martin Lonkwitz
Software engineering at SVA | 3 upvotes 21.1K views
C++
C++
Java
Java

Maybe not in everybody focus but I do like programming for @z/OS, @z/Linux and @z/VM with C++ , Java and Assembler . Who else love to dig into control blocks and get a deep dive into system resources to run things in a high valuable way ? And also go all the way up to the application to enlight all the infrastructure features to it ?

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C++
C++
Rust
Rust

Initially, I wrote my text adventure game in C++, but I later rewrote my project in Rust. It was an incredibly easier process to use Rust to create a faster, more robust, and bug-free project.

One difficulty with the C++ language is the lack of safety, helpful error messages, and useful abstractions when compared to languages like Rust. Rust would display a helpful error message at compile time, while C++ would often display "Segmentation fault (core dumped)" or wall of STL errors in the middle. While I would frequently push buggy code to my C++ repository, Rust enabled me to only even submit fully functional code.

Along with the actual language, Rust also included useful tools such as rustup and cargo to aid in building projects, IDE tooling, managing dependencies, and cross-compiling. This was a refreshing alternative to the difficult CMake and tools of the same nature.

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Dan Larsen
Dan Larsen
CTO at FlowStack | 7 upvotes 72.7K views
atFlowStack ApSFlowStack ApS
Go
Go
Rust
Rust
C
C
C++
C++

At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.

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Reviews of C++ and HAML
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How developers use C++ and HAML
Avatar of StackShare
StackShare uses HAMLHAML

Personally, I really like HAML. Not having to use open and close tags is a huge time saver. As a result, writing markup with HAML is much more pleasant. HAML essentially forces you to be very strict about spacing, organization, and structure. It also makes the markup easier to read. Protip: I use this pretty frequently: htmltohaml.com

Avatar of Marc3842h
Marc3842h uses C++C++

C++ is used in Shiro (https://github.com/Marc3842h/shiro).

C++ is a high performance, low level programming language. Game servers need to run with fast performance to be able to reliably serve players across the globe.

Avatar of OnlineCity
OnlineCity uses C++C++

The most latency sensitive parts are written in C++. Due to our interconnected services architecture, we use either Python or C++ for each service, with the performance critical parts being C++14.

Avatar of POROWNEO.PL
POROWNEO.PL uses C++C++

Used to write PHP extensions - AZTEC Decoder - License Driver scan - Axis2/C to PHP wrapper and Job-scheduler - Barbershop

Avatar of Luca Fulchir
Luca Fulchir uses C++C++

Performance, zero-overhead abstractions and memory safety of the modern C++ language make this the perfect language for the project.

Avatar of ApertusVR
ApertusVR uses C++C++

The main programming language of ApertusVR. C++11 & CMake provides multi-platform targeting. The architecture is modular.

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