RealWorld is a popular open-source project known as the mother of all demo apps. It is an exact clone of Medium.com (called Conduit) and can be built using any front-end and back-end. This article will share the journey to replicating the RealWorld REST API (Conduit) from scratch using Linx, a low-code developer tool. All stacks that integrate with Conduit will integrate with the newly created API. Technologies and tools used to develop RealWorld API: Notes

At LoadFocus, we’ve implemented an easy way to monitor the rendering of websites on desktop and mobile devices, this helps you get hints on how to improve the images that you load on your website. Your website’s or blog’s speed is a very important metric in ranking in search engines Try to keep that in mind when developing new features and adding fancy images and animatios to your pages.

Learn what automated reporting can do for agencies and the 5 benefits agency professionals notice most.

The Python TypeError: unhashable type: 'list' usually means that a list is being used as a hash argument. This error occurs when trying to hash a list, which is an unhashable object. For example, using a list as a key in a Python dictionary will cause this error since dictionaries only accept hashable data types as a key. The standard way to solve this issue is to cast a list to a tuple, which is a hashable data type.

When a program encounters an exception during execution, it is terminated if the exception is not handled. By handling multiple exceptions, a program can respond to different exceptions without terminating it. In Python, try-except blocks can be used to catch and respond to one or multiple exceptions. In cases where a process raises more than one possible exception, they can all be handled using a single except clause.

In this episode of Kongcast, I spoke with Scott Lowe, principal field engineer at Kong, about what a service mesh does and when to use it, among other common mesh-related questions. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes.

It’s easy to take continuous integration (CI) and continuous delivery/deployment (CD) for granted these days, but these have been transformational concepts that have drastically changed the face of software development over the past thirty years.

While CI/CD is synonymous with modern software development best practices, today’s machine learning (ML) practitioners still lack similar tools and workflows for operating the ML development lifecycle on a level on par with software engineers. For background, follow a brief history of transformational CI/CD concepts and how they’re missing from today’s ML development lifecycle.

BigQuery is a powerful tool for data analytics and business intelligence, but it isn't very easy to get the most out of it without some help from ETL (extract, transform, load). In this blog post, we'll go over some of the best ETL solutions for BigQuery to help you make sense of your company's data.

When it comes to providing the latest and greatest ETL and ELT tools, the platforms Stitch, Fivetran, and Xplenty are all top contenders. That being said, each platform also has its own set of pros and cons. Ultimately, the best ETL/ELT platform for your company will largely depend upon the needs of your organization. So, which platform will reign supreme for your company in the Stitch vs Fivetran vs Xplenty matchup?