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.

This post is a bit of an obvious one, as we have a web application, we obviously need to have HTML and CSS in our stack. Though specifically though, we can talk a bit about backward compatibility and the specific approaches we want to enforce in our codebase.

HTML : Not much explanation here, you have to interact with HTML for a web app. We will stick to the latest standard: HTML 5.

CSS: Again if we want to style any of our components within he web, we have to use to style it. Though we will be taking advantage of JSS in our code base and try to minimize the # of CSS stylesheets and include all our styling within the components themselves. This leaves the codebase much cleaner and makes it easier to find styles!

Babel: We understand that not every browser is able to support the cool new features of the latest node/JS features (such as redue, filter, etc) seen in ES6. We will make sure to have the correct Babel configuration o make our application backward compatible.

Material UI (MUI): We need to make our user interface as intuitive and pretty as possible within his MVP, and the UI framework used by Google will provide us with exactly that. MUI provides pretty much all the UI components you would need and allows heavy customization as well. Its vast # of demos will allow us to add components quickly and not get too hung up on making UI components.

We will be using the latest version of create-react-app which bundles most of the above along many necessary frameworks (e.g. Jest for testing) to get started quickly.

For our front-end, React is chosen because it is easy to develop with due to its reusable components and state functions, in addition to a lot of community support. Because React is popular, it would be easy to hire for it here at our company MusiCore. Our team also has experience with React already. React can be written with ES6 and ES6 has a lot of popularity and versatility when it comes to creating classes and efficient functions. Node.js will be used as a runtime environment to compile the code. Node.js also has many different types of open-source packages that can help automate some of the tasks we want to do for the application. CSS 3 will be used to style components and is the standard for that.

Optimize-js I will not describe this tool a lot here, because it's already good done by author on github

I just want to mention that this tool wrap up all immediately-invoked functions or likely-to-be-invoked functions in parentheses what is do a great optimization a JavaScript file for faster initial execution and parsing (based on my experience).

The performance of application where I've introduced optimize-js improved on 20% in a common (tested in Chrome and IE11).

• Clarification on Readme to the optimize-js
• Some of Nolan thoughts on the virtues of compile-time optimizations can be found in "Parens and Performance" – counterpost

Is it maintaining now? - Unfortunately, no (but feel free to send PR)

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%

https://gogs.blitter.com/RLabs/xs