Articles

Peter Lee, corporate vice president for research at Microsoft, recounts the early days of working with OpenAI's GPT-4 before its public release. He shares observations and experiences that illuminate the personal side of GPT-4 and how AI systems can potentially impact medicine for the greater good.

Build in-demand skills in Tableau Desktop, review the tool’s user interface and basic functionality, and discuss how to connect to data and ensure it is properly prepared for analysis.

Stances are attitudes and behaviors that Product Owners display at times, but not all the time. Here the authors explore the six most frequently displayed misunderstood stances and how you can recognize them and become more productive with Scrum.

In this sample chapter, you will learn how to describe PL/SQL architecture within Oracle applications, and how it can be used to develop web and mobile applications in both conventional and cloud environments.

This chapter covers the foundations of streams, in particular the Stream API, which is a declarative way of processing data using streams and allows programmers to harness the power of multicore architectures for parallel processing of data. This chapter maps to the Java SE 17 Developer Exam Objectives [6.1]-[6.3].

In this sample chapter from Learn Enough Python to Be Dangerous, you will obtain an introduction to testing in Python, including a first look at test-driven development, or TDD.

Cloud pioneer and long-time CTO David Linthicum covers public cloud computing processors, which are usually referred to as central processing units (CPUs), how to pick the platforms needed to operate those processors, and how to obtain the best value from your cloud provider.

In this sample chapter from Wild West to Agile, author Jim Highsmith recounts his adventures through the Wild West (1966-1979), from his work on the Apollo moon landing program, to the broader landscape of technology and software development.

Best practices for requirements engineering to deliver superior value for both traditional and agile projects, in any application domain.

Explore different Design Thinking techniques and exercises useful for reducing uncertainty.

Functional-concurrent programming refers to applying functional transformations to futures to produce new futures.

How to be productive with functions that use or return functions.