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5 key areas for tech leaders to watch in 2020

O'Reilly

Along with R , Python is one of the most-used languages for data analysis. From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., there’s a Python library for virtually anything a developer or data scientist might need to do. This follows a 3% drop in 2018.