Language Design and Implementation

Running head: LANGUAGE DESIGN AND IMPLEMENTATION
LANGUAGE DESIGN AND IMPLEMENTATION
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1LANGUAGE DESIGN AND IMPLEMENTATION
Abstract:
The purpose of this study is to find out the new features that can be included as a new code in
the existing programming languages. The modern hardware is fast compared to the old ones
with larger storage capacity as well as network capacity is also increased. The availability of
compilers, editors and debugger is also more than sufficient for supporting a new language.

2LANGUAGE DESIGN AND IMPLEMENTATION
Table of Contents
Introduction:...............................................................................................................................3
Languages for mobile software development or AI:..................................................................3
Collaborative software development:........................................................................................3
`Effective IDEs and tools:..........................................................................................................4
Garbage collection vs performance:...........................................................................................4
Advance type systems:...............................................................................................................5
Code running on highly constrained devices:............................................................................5
Blockchain leaders vs conventional recordkeeping:..................................................................6
Distributed applications:............................................................................................................7
COBOL 60 in games:.................................................................................................................7
FORTRAN 77 for multimedia:..................................................................................................7
Incremental compilation:...........................................................................................................8
Declarative vs imperative languages:.........................................................................................8
Conclusion:................................................................................................................................9
Bibliography:..............................................................................................................................9

3LANGUAGE DESIGN AND IMPLEMENTATION
Introduction:
There are different paradigms in programming language. There are two types of main
camps, along with the language in front. One of them is static languages and another one is
dynamic languages. To avoid too much history and any sort of in-depth analysis, this article
will simplify things with a number of assumptions. One is written in static languages are
compiled to machine code, while programs that are written in dynamic languages run in an
interpreter. The purpose of this paper is to find how to develop a new code as all the facilities
are available like more CPU speed, modern hardware, great network capacity. The paper will
also discuss about the way design a language and its implementation. Therefore, the newly
designed languages are making machine learning and use of artificial intelligence to the
technology reliable for the developers as well as for its users too.
Languages for mobile software development or AI:
There are so many coding languages for mobile app development. To build up a
mobile app some necessary tools will be needed. Five top most programming languages for
mobile app development are BuildFire.js, Python, Java, PHP and C++.
Python is one of the most popular programming languages. It is used by the top app
development companies, Python is a professional coding language and it is for the
development of software. Due to its simplicity, Python is always considered in first place
compared to other AI development languages. The syntaxes that belong to python are so
simple, easily learnable and the developers can also implement the AI algorithms easily.
Python takes less time for development compared to other languages such as Lisp or Prolog.