So, Android Studio exists. While there are a number of fixes for the less-than-graceful aspects of Android development in Eclipse - Genymotion, right? - some are moving to Android Studio for a more stream-lined approach. This recent post from MeetMe's engineering blog details Bill Donahue's switch from Eclipse to Android Studio, and he has some pretty strong feelings about it. He says - and this is his own emphasis - the following: I will never go back to Eclipse Donahue then explains the key differences as he sees them. First he makes a list of complaints about Eclipse - constant refreshing, awkward UI building, hogging RAM, and so on - followed by a list of the improvements found in Android Studio, such as full-program themes, new UI tools, better stability and performance, and more. He does point to a couple of hiccups, such as the switch to a Gradle build, but it's more of a thing you're going to have to learn than an issue with Android Studio. Check out Donahue's full post for more details on the switch and the little things Android Studio does to make it more comfortable.

This recent article from Alyssa Frazee's blog provides a tutorial on how to help non-programmers get started with R. Given that R is a programming language popular outside of the development world - its focus on statistics and data visualization makes it popular among data scientists and sociologists, for example - the tutorial is a useful starting point and provides an outline of the need-to-know aspects of R. A lot of ground is covered in a series of quick and concise steps. For instance: How to download R and RStudio Working with graphics Data types Exploratory data analysis And more. An important detail here, though, is the intended audience of the tutorial: It is not for non-programmers attempting to learn R, but really for programmers attempting to teach R to non-programmers, especially in a concise, crash-course fashion. I think there would definitely be some value here for non-programmers or even programmers who are new to R (though experienced programmers interested in R might be better served elsewhere), because it provides an outline of things you need to research and learn, but I believe the intention is to be more of an informal teaching aid. Check out the full tutorial for some insight on how to help a non-programmer get started with R.

One crucial aspect of ensuring a secure Kubernetes infrastructure is the effective management of secrets, such as API keys, passwords, and tokens.

Explore this fun experiment using DuckDB to parse CockroachDB Change Data Capture output and query CockroachDB with DuckDB.

Learn how to build a chat server using gRPC, a modern remote procedure call framework, and its support for streaming data.

Inverted indexing in Apache Doris 2.0.0 realizes two times faster log query performance than Elasticsearch with 1/5 of the storage space it uses.

IoT needs speed, reliability, and energy efficiency that isn’t guaranteed in a desktop environment. Let's look at how to choose the right real-time operating system.

GitHub Actions is a continuous integration and continuous delivery (CI/CD) platform that allows you to automate your build, test, and deployment pipeline.

In this blog, we will be looking at 10 AWS EKS best practices that will help you configure, deploy, use, and manage the Kubernetes Cluster on AWS.

Several of us might be familiar with the clear () API in the Java collections framework. In this post, let’s discuss what is the purpose of this clear() API?

This PostgreSQL JSONB Cheatsheet presents a complete guide to PostgreSQL JSONB functions with examples and some demo code.

Looking for a more streamlined and intuitive way of querying databases, similar to the elegant LINQ constructs in C#? Check out the open-source library JPAStreamer.

The combination of Playwright and JavaScript allows you to create automated tests that can be run repeatedly and consistently, saving you time and effort.

Message broker vs. data streaming — trade-offs, integration, and migration scenarios from JMS, IBM MQ, TIBCO, or ActiveMQ to Apache Kafka.

In this article, the reader will learn how to perform a failover with a headless Aurora Global Database and its outcomes.

Learn to define resource limits and requests in Kubernetes, a key strategy to minimize cloud waste and effectively reduce your cloud expenditure.

Regardless of the replication mechanism, you must fsync() your data to prevent global data loss in non-Byzantine protocols.

We’ll take a look at the imports field in package.json and how it can be used to configure path aliases for various use cases.

Learn and master these twenty essential Git commands for effective code management and collaboration with other developers.

Learn out about how to query and write Apache Parquet files in the first post of our series on the popular data exchange format.