A growing range of fields and general advancements in technologies push programming languages to constant improvement and adaptation to the present-day needs. Now we have a bunch of languages serving different purposes: some of them emerged as an independent project, while others bud off from established and well-known languages. The colossus of Java, for example, has a number … [Read more...] about Kotlin vs. Groovy: Which Language to Choose
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How to Help a Non-Technical Audience Understand their Readiness for Data Science
Last week I had the pleasure of working with the University of South Wales (USW) to help non-technical people understand Data Science. More specifically, I was running a Masterclass entitled Everyday Data Science . The brief was to demystify this topic for a diverse audience. It was clearly popular as it drew a good crowd. The delegates who attended my Masterclass varied from … [Read more...] about How to Help a Non-Technical Audience Understand their Readiness for Data Science
Developing and Coding with STEM graduates
The UK is well-known for its strong history within innovation and research, so how do things look for the future with the UK's STEM graduates, and what should they be studying? STEM and what it stands for: S - ScienceT - TechnologyE - EngineeringM - Mathematics A number of STEM subjects include; medicine, neuroscience, veterinary sciences, agriculture, biology, dentistry, … [Read more...] about Developing and Coding with STEM graduates
Open Source Security Risks and Vulnerabilities to Know in 2019
Open source projects provide software development teams with well-built libraries and frameworks which they can freely use in their projects to improve the speed and efficiency of software development. Despite the pros of open source projects, there are issues with security risks and code vulnerabilities when using components from such projects. The majority of commercial … [Read more...] about Open Source Security Risks and Vulnerabilities to Know in 2019
Hunting for Data: a Few Words on Data Scraping
No matter how intelligent and sophisticated your technology is, what you ultimately need for Big Data Analysis is data. Lots of data. Versatile and coming from many sources in different formats. In many cases, your data will come in a machine-readable format ready for processing Š ” Šdata from sensors is an example. Such formats and protocols for automated data transfer are … [Read more...] about Hunting for Data: a Few Words on Data Scraping
