Researchers should take extra care in deploying data-science applications to the cloud, as cybercriminals are already targeting popular data-science tools such as Jupyter Notebook.
Visualizing Potential Effects of Dentist Retirements on Accessibility to Dental Care Among Children in Alabama, 2019 GIS SNAPSHOTS Volume 18 February 4, 2021
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The figure displays a composite of 4 maps highlighting physical access to dentists among youth in Alabama. Map A shows the dispersion of the Alabama population under the age of 21 by using dots where each dot represents 664 youth. This map shows population density is highest in Alabama’s urban areas. Map B shows another overlay map highlighting the dispersion of licensed dentists by age at the county level using proportional dots and the percentage of licensed dentists within each Alabama county aged 55 years and younger. Information related to counties with less than 3 dental providers is not displayed. Maps suggest that most of the state’s licensed dentists practice in urban counties, and the proportion of dentists aged 55 and older appear to be higher in rural areas. Map C shows the number of den
Python is one of the most popular and progressing programming languages. Based on TIOBE, a software quality company stated that Python is an aggressive programming language. In 2020, Python is on top 2, replacing Java. But, number one is still C. It was an impressive achievement for Python in the last 20 years.
Why is Python unstoppable? First, Python is working well for machine learning and deep learning. We can realize it from Google developing simple machine learning or deep learning for people via Google Colaboratory (hereafter: Google Colab). People can run their machine learning or deep learning code in the machine provided by Google Colab. Google Colab holds Jupyter Project to build the Jupyter Notebook environment in Google Colab. If you are interested in running your machine learning or deep learning code in Google Colab, you can visit this link.