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2016

Easily Profile Python Code in Jupyter

Jun 11 2016

posted in software

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Easily Profile Python Code in Jupyter

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tesla, conda, pip, pyspark, spark, tensorflow, AWS, python, GPU, CUDA, cuDNN, numpy, pandas, jupyter notebook, vectorization, optimization, line profiler, traveling salesman problem, algorithms, superchargers, TSP, concorde, complexity, statistics, probability, unbiased variance estimator, standard deviation, population mean, population variance, sample mean, sample variance, biased estimator, pydata, numerical precision, arbitrary precision integers, integer overflow, information theory, coding theory, prefix code, Kraft's inequality, Kraft-McMillan inequality, Shannon entropy, uniquely decodable, Fibonacci numbers, tail recursion optimization, economic data, FRED

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