Understanding how to make a GET request to an API using Python is an essential skill for developers. This article will guide you through the process, demonstrating how to use Python’s ‘requests’ library to fetch data, handle the full JSON object in response, and manage API errors efficiently. Step into the practical world of Python GET API calls without any detours.

Let’s pose a hypothetical scenario. You're the API product owner at the Paris, Texas Regional Airport. You're in charge of two main APIs: Flights API and Scheduling API. Flights API is primarily used by local research institutions that are interested in read-only access to information about departures and arrivals. Scheduling API is primarily used by airline partners who are interested in updating information about their flights and gates.

Game development has only grown more complicated as studios adjust to working with increasingly larger projects, globally distributed teams, and limited resources. It’s no surprise that teams are exploring alternative solutions, like cloud game development, to build their next break out game. The appeals of building a game in the cloud include its abilities to minimize developer and artist challenges and optimize your development pipeline.

The java.lang.IndexOutOfBoundsException in Java is thrown when an index used in arrays, lists, or strings is not valid. A valid index must be a number from 0 up to one less than the total number of items. For example, in a list of 3 items, the valid indices are 0, 1, and 2. Here’s a quick example: The error message you’d get would look something like this: Here are some other common ways the IndexOutOfBoundsException might be thrown.

Here's how Apple's upcoming Privacy Manifest enforcement, starting May 1, 2024, will change the way app developers handle privacy. Learn the details of the new requirements, from creating privacy manifest files to meeting crucial deadlines, to ensure your app meets Apple's stringent privacy standards.

Whether it’s the groceries you need from the store, the chores your mom left on the kitchen counter for when you got home from class, or even things to do before you die, lists are everywhere. Presenting data in a column (or a list) is the most familiar and natural way to organize information in both the analogue and digital worlds.

We are thrilled to announce the release of a new feature in N|Solid that includes sample heap profiling and heap objects observability for main processes and worker threads. N|Solid is known for its Node.js performance and security observability and diagnostic tools and best-in-class low overhead has completed a new innovation to hunt memory leaks in development and production environments. Memory is a precious resource in computing.

Automation and artificial intelligence have been key players in financial services for years. Financial institutions have automated routine tasks across fraud detection and prevention, loan application processing, and customer service, to name just a few. But the pace and breadth of adoption will only increase. In the lending market, automated underwriting can be a game-changer.

In this edition of our series dedicated to spotlighting the movers and shakers in the tech world, we're thrilled to welcome Michael Muinos, an experienced Software Engineer currently residing at Google who is also the founder of Algos With Michael. Through this conversation, we aim to dive deep into the experiences that have defined Michael's career, alongside exploring the challenges and triumphs encountered, we will also share advice for aspiring software engineering professionals in this piece.

Kong Mesh 2.7 is here! And with it come a slew of new features to make our simple and powerful enterprise service mesh even easier to use and more powerful for your particular needs. In this blog post, we'll cover the new features and show how Kong Mesh 2.7 can deliver a superior service mesh experience for your organization.