Collaborating Authors

Python How to Program


This new book by the world's leading programming language textbook authors carefully explains how to use Python as a general-purpose programming language and how to program multi-tier, client/server, database-intensive, Internet- and Web-based applications. Dr. Harvey M. Deitel and Paul J. Deitel are the founders of Deitel & Associates, Inc., the internationally-recognized corporate-training and content-creation organization specializing in Python, Visual Basic .NET, C#, Visual C .NET, Java, C, C, XML, Perl, Internet, Web, wireless and object technologies. The Deitels are the authors of several worldwide #1 programming-language textbooks, including Java How to Program, 4/e, C How to Program, 3/e and Internet & World Wide Web How to Program, 2/e.

Data science is not a science project


The ultimate goal of digital transformation through data science is to improve the organization. Whether the focus is on increasing revenue, lowering cost, increasing productivity, or launching new businesses, organizations have to move beyond gathering data.

Anyone knows how to integrate data science with material science?


It is your experience that you should leverage. If you used and analyzed data with tools such as Matlab to help boost ROI for the companies you worked for, you should have no problem finding a new job as data scientist. Many data scientists in Fintech are former physicists. You may have to learn programming languages such as R or Python if you don't know them already, but that is easy to learn. Some online classes from good universities can help you too (see here).

Problems in social science are being used to discredit climate science

New Scientist

A conference in California next week says it aims to make scientific studies more reliable, but critics fear the event is a new tactic used by those who question the reality of climate change. The event, called Fixing Science, is being run by the National Association of Scholars (NAS), a non-profit organisation based in New York. The conference's programme focuses on the reproducibility crisis – the claim that science has an increasing problem with poorly performed or even fraudulent studies – with a portion dedicated to how …