Lisp is a family of programming languages known for its unique parenthetical syntax and powerful macro system, primarily used for symbolic computation, artificial intelligence, and rapid prototyping. It excels in processing lists and offers dynamic typing, automatic garbage collection, and first-class functions.
Top 5*
Programming Languages
About Lisp
Lisp was created in 1958 by John McCarthy while at the Massachusetts Institute of Technology (MIT). It was designed to facilitate research in artificial intelligence and symbolic computation. Lisp introduced several pioneering concepts in computer science, including tree data structures, automatic storage management, and dynamic typing.
Lisp's strengths include its powerful macro system, excellent support for symbolic computation, and dynamic typing. Its weaknesses are often cited as its unconventional syntax and lower performance compared to some other languages. Competitors include Python, Ruby, and JavaScript for scripting and rapid prototyping, as well as Prolog for symbolic computation and AI applications.
Hire Lisp Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Lisp expert
A Lisp expert must have strong skills in symbolic computation, familiarity with Lisp's unique syntax and parenthetical notation, proficiency in writing and debugging macros, understanding of functional programming concepts, experience with dynamic typing and garbage collection, and the ability to work with recursive data structures.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
The Best of the Best Optimized for Your Budget
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top LatAm talent with no middlemen or hidden fees.