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Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning. Security is surging.
web development, data analysis. machine learning , DevOps and systemadministration, automated-testing, software prototyping, and. This distinguishes Python from domain-specific languages like HTML and CSS limited to web design or SQL created for accessing data in relational database management systems.
Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. I was a student systemadministrator for the campus computing group and at that time they were migrating the campus phone book to a new tool, new to me, known as Oracle. There’s MongoDB for document stores.
Data analysis and databases Dataengineering was by far the most heavily used topic in this category; it showed a 3.6% Dataengineering deals with the problem of storing data at scale and delivering that data to applications. Interest in data warehouses saw an 18% drop from 2022 to 2023.
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