HackerRank and HackerEarth Recruit provide Julia skills assessment tests online to help programmers, employers and recruiters demonstrate and assess programming skills, post and find jobs and connect.
According to HackerRank’s co-founder and CTO Harishankaran Karunanidhi, “We received a significant number of community requests to add Julia as part of our supported languages to solve HackerRank challenges. HackerRank users will be able to solve algorithmic, data structure and many other types of challenges using Julia as their preferred language.” To experience Julia on HackerRank, users can visit https://www.hackerrank.com/challenges/solve-me-first and select Julia.
Julia Computing CEO and Julia co-creator Viral Shah explains, “Julia programmers are highly sought after and command a significant earnings premium in the marketplace. Julia programmers are being recruited and hired to work in artificial intelligence, robotics, quantitative finance, high-frequency trading, precision medicine, genomics, aerospace and many other fields. We are excited that HackerRank and HackerEarth Recruit have added Julia to their skills assessment tests in order to help match Julia programmers, employers and recruiters.”
About Julia and Julia Computing
Julia is the fastest modern high performance open source computing language for data, analytics, algorithmic trading, machine learning and artificial intelligence. Julia combines the functionality and ease of use of Python, R, Matlab, SAS and Stata with the speed of C++ and Java. Julia delivers dramatic improvements in simplicity, speed, capacity and productivity. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. With more than 1 million downloads and +161% annual growth, Julia is one of the top 10 programming languages developed on GitHub and adoption is growing rapidly in finance, insurance, energy, robotics, genomics, aerospace and many other fields.
Julia users, partners and employers hiring Julia programmers in 2017 include Amazon, Apple, BlackRock, Capital One, Comcast, Disney, Facebook, Ford, Google, Grindr, IBM, Intel, KPMG, Microsoft, NASA, Oracle, PwC, Raytheon and Uber.
Julia is lightning fast. Julia provides speed improvements up to
1,000x for insurance model estimation, 225x for parallel
supercomputing image analysis and 11x for macroeconomic modeling.
Julia is easy to learn. Julia’s flexible syntax is familiar and
comfortable for users of Python, R and Matlab.
Julia integrates well with existing code and platforms. Users of
Python, R, Matlab and other languages can easily integrate their
existing code into Julia.
Elegant code. Julia was built from the ground up for
mathematical, scientific and statistical computing, and has advanced
libraries that make coding simple and fast, and dramatically reduce
the number of lines of code required – in some cases, by 90%
Julia solves the two language problem. Because Julia combines
the ease of use and familiar syntax of Python, R and Matlab with the
speed of C, C++ or Java, programmers no longer need to estimate
models in one language and reproduce them in a faster
production language. This saves time and reduces error and cost.
Julia Computing was founded in 2015 by the creators of the open source Julia language to develop products and provide support for businesses and researchers who use Julia.