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Absinthe is a toolkit for building a GraphQL API with Elixir. It has a declarative syntax that fits really well with Elixir’s idiomatic style. In today’s post — the first of a series on Absinthe — we will explore how you can use Absinthe to create a GraphQL API. But before we jump into Absinthe, let’s take a brief look at GraphQL.

In Python, a NameError: name 'x' is not defined error is raised when the program attempts to access or use a variable that has not been defined or assigned a value. This can happen if the variable is spelled incorrectly, or if it is accessed before it has been defined.

We made some improvements to our Reach Native demo app and reduced build time by nearly 60%. Check out what optimizations we made and how we sped up the build time on our demo app.

Artificial intelligence (AI) has captured the collective imagination. Most news stories focus on the impact AI will have on the future and the productivity growth we might see. Yet, the rank-and-file at most companies know the challenges of truly integrating AI into their workstreams. Organizations need results now. Solving real business challenges requires combining the power of AI with human workers in a seamless workflow.

Without a doubt, Python stands out as one of the most sought-after and adaptable programming languages across the globe. In fact, some of the largest tech companies on the planet use Python, including Google, Facebook and Amazon. Python has been the go-to programming language for many developers, data scientists and researchers due to its ease of use, readability and robustness. But what exactly can Python do?

Think you’re ready to start an automation initiative at your organization? Be careful how you choose to proceed. According to an Ernst and Young study, between 30% and 50% of all robotic process automation (RPA) projects end in failure. Yikes. Are those odds you can afford to gamble on?

As automation capabilities grow, so do the related use cases. It’s not surprising that 80% of executives think automation can be applied to any business decision, according to a Gartner survey. But as implementation becomes easier and automation adoption more prevalent, your organization can quickly lose control, with too many automation projects happening in silos.