Python’s popularity has more than doubled in the past decade¹ and it is quickly becoming the preferred language for development across machine learning, application development, pipelines, and more. One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers.

REST APIs have become the backbone of modern software applications, enabling seamless communication between systems and ensuring data consistency. In particular, REST APIs are useful for ETL (extract, transform, load) and data integration workflows. They make it easy to exchange information between various websites, databases, and SaaS (software as a service) applications.

In this blog series, Yellowfin Chief Technology Officer (CTO) Brad Scarff breaks down some of the coolest and most unique features of the Yellowfin embedded analytics suite. What if you could automate the delivery of reports on set schedules? What if you could create save states of all your report filters and drill-downs? Yellowfin allows just that.

Unreal Engine 5 (UE5) is one of the most popular game engines used by game dev teams and creators across industries. Here, we break down the differences between Unreal Engine 4 and 5 and noteworthy UE5 features. Plus, we'll dive into what you need to take advantage of UE5 and how you can get started today.

Closed-captioning for television systems was first demonstrated in the early 1970s. Realtime closed-captioning was developed later in the early 1980s. Here, stenotype operators who type at speeds of over 225 words per minute provide captions for live television programs, allowing the viewer to see the captions within two to three seconds of the words being spoken was developed later in the early 1980s.

Learn the difference between device farms vs. device clouds, along with guidance on the pros and cons of each.

Learn how to use BigQuery analytics hub to set up a functional dataset share across organizations.

In today's dynamic financial landscape, threats are not only escalating but also rapidly evolving. At the same time, regulators impose stricter transparency and compliance requirements on financial institutions. So, how can decision-makers navigate this challenging environment, with relentless cyber threats coming at them from one side and rising regulatory demands from the other?

Modern software design relies heavily on distributed systems architecture, requiring all APIs to be robust and secure. GraphQL is no exception and is commonly served over HTTP, subjecting it to the same management concerns as any REST-based API. In fact, GraphQL’s dynamic client querying capabilities may lead to more complex and potent attack surfaces than traditional REST-based APIs.

One of the most difficult aspects of creating an API service for public consumption is the balance between developer control and user freedom. Ensuring that users can leverage an API to new heights requires a certain amount of freedom, both in modality of usage and in applicability of the use case. The security of underlying systems and the API itself relies on controlling this usage and ensuring a level of control for the greater good.