Welcome to our weekly edition of the Dev Digest where we put together the best links to help you stay on top of what’s happening in the world of software and web development. From top stories to development tips, professional advice, and more, we’ve collected the best articles, stories, and videos of the week from across the web. Now let’s get to it.
- In an industry already lacking strong numbers of women, cybersecurity remains especially underrepresented, with women comprising just 14% of the U.S. cybersecurity workforce and even less elsewhere in the world. Here’s a look at the issue and why boosting women’s involvement in information security makes good security and business sense.
- Frameworks play a major role when developing a web or mobile app using Python by offering developers a structure for application development. While many frameworks exist, here’s a look at ten of the most-used frameworks and their features.
- Heard of the TIOBE index? It attempts to measure how popular various languages are, rather than how ‘loved’ they are. A June 2020 report of the TIOBE index reveals that an ‘old classic’ still tops the list while another seemingly loved language finally cracks the top 20 list.
- Connecting with your audience during a video conference or meeting can be tough but following these tips can help you better engage with audiences and hold their attention through the end.
- You cannot manage a development team successfully with a ‘one size fits all’ approach. Learning how to best manage different personality types, such as a ‘Cheetah developer’, can help you bring out the best in each member of your team.
The science of machine learning is maturing as more and more industries use this form of artificial intelligence for everything from customized product marketing and entertainment offerings to high-speed financial transactions, precision medicine, and more. In our most recent Executive Brief, we break down how prominent industries are effectively using machine learning today, along with some guidelines for evaluating the potential usefulness of machine learning in your organization.