Why Jupyter is data scientists’ computational notebook of choice

11/26/2018

This article discusses the potential long-term impacts of AI and automation on the workplace. It highlights the fear of job displacement and argues that while automation may eliminate certain types of jobs, it will also create new ones. The article further explores the role of education and proposes that a focus on developing skills that complement AI and automation will be crucial for future employment. It also discusses the need for policies and regulations to address job displacement and ensure a smooth transition. The author concludes that while there are challenges and uncertainties, AI and automation have the potential to positively transform work rather than simply replace humans.

science policy ꞏ scientific community ꞏ scientific ethics ꞏ scientific evidence ꞏ scientific communication ꞏ scientific validity ꞏ scientific inquiry ꞏ science education ꞏ scientific credibility ꞏ scientific principles ꞏ nature journal ꞏ scientific disciplines ꞏ scientific progress ꞏ scientific analysis ꞏ science journalism ꞏ scientific innovation ꞏ scientific discoveries ꞏ academic publishing ꞏ scientific reporting ꞏ research papers ꞏ scientific method ꞏ scientific research ꞏ scientific theories ꞏ scientific review ꞏ scientific integrity ꞏ scientific discovery ꞏ scientific advancements ꞏ scientific collaboration ꞏ peer-reviewed journal ꞏ scientific consensus ꞏ scientific publishing ꞏ scientific experiments ꞏ scientific impact ꞏ scientific literature ꞏ scientific understanding ꞏ scientific debate ꞏ scientific rigor ꞏ scientific advancement ꞏ science communication ꞏ scientific knowledge ꞏ scientific breakthroughs ꞏ scientific journals ꞏ scientific data ꞏ research findings ꞏ scholarly communication ꞏ scientific frontiers ꞏ science technology ꞏ scientific writing ꞏ scientific exploration ꞏ scientific articles ꞏ scientific accuracy