Brazil fined Facebook $1.6 million for their role in the Cambridge Analytica scandal. The country’s justice ministry said that the fines are tied to unlawful sharing of data from its users in Brazil. “It’s evident that the data of about 443,000 users of the platform were made available by the developers of the app ‘thisisyourdigitallife’ … continue reading
Last December, I made some rather public declarations about which software stability trends we’d see this year. Turns out, I’m not half bad at stability predictions (although I’m unlikely to add “prognosticator” to my CV). Before I try my luck again and tackle 2020, here’s the round-up from last year, including my original predictions and … continue reading
JetBrains is providing new details on the current state of Kotlin tools and libraries for data science. “How does Kotlin fit data science? Following the need to analyze large amounts of data, the last few years has brought a true renaissance to the data science discipline. All this renaissance of data science couldn’t be possible … continue reading
VMware announced that it completed the acquisition of Pivotal Software, a cloud-native platform provider. “We believe that modern application development solutions and practices need to be easily accessible to everyday enterprises across the globe. With Pivotal’s developer capabilities as the foundation, we’ll focus on delivering consumable, enterprise-ready cloud native offerings to customers to help them … continue reading
Mastercard announced an agreement to acquire RiskRecon to help financial institutions, merchants and governments to secure their digital assets. With RiskRecon’s AI and data-driven technology is designed to help organizations proactively manage cyber risks and better safeguard intellectual property and consumer and payment data. “By becoming part of their team, we have an opportunity to … continue reading
We are entering the third decade of the 21st century, and it is full of possibilities for companies who choose to embrace and leverage an open, modern technology landscape. What will we see from product teams creating new software for the enterprise and how will they prioritize what to build? Here are three critical areas … continue reading
Mozilla is hoping to shape the future of the web by releasing the results of its first ever MDN Web Developer Needs Assessment (Web DNA). Mozilla put the survey together as a means of representing the “voices of developers and designers working on the web.” They surveyed over 28,000 developers and designers from 173 countries. … continue reading
This week’s highlighted project is Falcon, which is an open-source Python framework for building large-scale app backends and microservices. According to the Falcon maintainers, the framework encourages the REST architectural style. It also attempts to do as little as possible, while also remaining highly efficient. “When it comes to building HTTP APIs, other frameworks weigh … continue reading
Code reviews help improve code quality and help share knowledge. Yet, posts about the dread and hatred of code reviews are plentiful. One of the most authoritative surveys tells us that only 45% of respondents are either satisfied or very satisfied with their process. With almost 80% of respondents participating in code reviews either daily … continue reading
The developers of Ruby announced version 2.7.0 which introduces new features and performance improvements such as pattern matching, REPL improvement, compaction GC and the separation of positional and keyword arguments. The new release also includes performance improvements such as JIT -ed code now being recompiled to less-optimized code when an optimization assumption is invalidated. The … continue reading
React software engineer Dan Abramov is taking this holiday season to reflect back on the JavaScript library team and principles. Some of the observations he made included: UI before APIs, absorbing complexity to stop it from going into the product code, and allowing hacks and providing idiomatic solutions. In addition, he noted that the team … continue reading
The new software development life cycle means working out ways to adapt the SDLC for your machine learning workflow and teams. With data scientists currently spending large chunks of their time on infrastructure and process instead of building models, finding ways to enable the SDLC to work effectively with machine learning is critical for not … continue reading
