EZINE:
In this handbook, focused on tech careers for women in the Asia-Pacific region, Computer Weekly looks at what can be done to attract more women into software development.
EZINE:
In this week's Computer Weekly, with organisations increasingly turning to low-code/no-code tools to enable "citizen developers" among staff – we look at whether this can help to ease software developer skills shortages. Read the issue now.
EGUIDE:
Adopting a microservices approach to application development is increasingly considered an essential part of any bid to modernise the legacy IT setup an organisation relies on.
VIDEO:
Join Paul Andrew, Technical Product Manager for Microsoft's SharePoint Team, as he discusses the new features of SharePoint 2010 for developers.
EGUIDE:
This e-guide examines organizational and team challenges of implementing the agile process. This e-guide also will detail how to scale agile software development to large organizations by scaling agile practices and agile work; how to transition small and large development teams to Scrum; and more.
WHITE PAPER:
Access now for the 5 major reasons test and QA need application performance diagnostics in order to keep up with the demand for quicker software delivery.
EGUIDE:
The Computer Weekly Developer Network is in the engine room, covered in grease and looking for Artificial Intelligence (AI) tools for software application developers to use. With so much AI power in development and so many new neural network brains to build for our applications, how should programmers 'kit out' their AI toolbox?
INFORMATION CENTER:
Learn how the IBM Rational® Workbench for Systems and Software Engineering supports the collaboration, workflows, tasks, and management of the work products essential to systems and software engineering.
TECHNICAL ARTICLE:
This article aims at answering the question, "Is parallel programming hard?" You'll take a look at the distinctions between parallel and sequential programming as well as the three main problems programmers face when it comes to parallel programming.
