A team of computer scientists recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow -- up to 60,000 times slower than code written in other programming languages -- and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot and streamline their code for higher performance.
A team of computer scientists at the University of Massachusetts Amherst, led by Emery Berger, recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow -- up to 60,000 times slower than code written in other programming languages -- and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot and streamline their code for higher performance.
"Python is a 'batteries-included' language," says Berger, who is a professor of computer science in the Manning College of Information and Computer Sciences at UMass Amherst,"and it has become very popular in the age of data science and machine learning because it is so user-friendly." The language comes with libraries of easy-to-use tools and has an intuitive and readable syntax, allowing users to quickly begin writing Python code.
Programmers have long known this, and to help fight Python's inefficiency, they can use tools called"profilers." Profilers run programs and then pinpoint why and which parts are slow. Berger's team, which included UMass computer science graduate students Sam Stern and Juan Altmayer Pizzorno, built Scalene to be the first profiler that not only precisely identifies inefficiencies in Python code, but also uses AI to suggest how the code can be improved.your program is wasting time," Berger says. It focuses on three key areas -- the CPU, GPU and memory usage -- that are responsible for the majority of Python's sluggish speed.
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