Discover and read the best of Twitter Threads about #codeoptimization
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1/ 🔥 Speeding Up Your R Code: Profiling, Benchmarking, and Parallelization 🚀 Ever felt like your R code could run faster? In this thread, we'll explore advanced techniques to optimize and parallelize your code. Stay tuned! #RStats #AdvancedR #DataScience 
2/ 🕵️♂️ Profiling: Before optimizing, you need to know where your code bottlenecks are. Use R's built-in tools like Rprof() and summaryRprof() or the profvis package to visualize and analyze your code's performance. #profiling #RStats #DataScience
3/ ⏱️ Benchmarking: Compare different implementations of a function or solution using the microbenchmark or bench package. This will help you choose the most efficient approach. #benchmarking #RStats #DataScience
