Learn to interact with NASA APIs using Python for retrieving and visualizing space-related data, focusing on practical applications in data science.

Learn how to access and analyze space data using NASA's APIs in Python for projects related to astronomy and space exploration.

Apache Beam is an open-source unified model for processing batch and streaming data in a parallel manner. Built to support Google’s Cloud Dataflow backend, Beam pipelines can now be executed on any supported distributed processing backends.

Flink is a stateful, tolerant, and large scale system which works with bounded and unbounded datasets using the same underlying stream-first architecture.

Structured streaming is the scalable and fault-tolerant stream processing engine in Apache Spark 2. Data frames in Spark 2.x support infinite data, thus effectively unifying batch and streaming applications.

Understand how to utilize the Eventbrite API in JavaScript for event management and ticketing features in web applications.

Understand how to utilize the Eventbrite API in JavaScript for event management and ticketing solutions, focusing on integration and user engagement.

Learn to interact with Eventbrite APIs using Python for event planning and management, focusing on API usage and data retrieval techniques.

Build applications that integrate with Eventbrite’s API using Python to access event data and automate ticketing.

Learn to utilize the Hugging Face Inference API in JavaScript for natural language processing applications.

Discover how to use the Hugging Face Inference API in JavaScript for natural language processing tasks, focusing on model integration and application development.

Discover how to use the Hugging Face Inference API in JavaScript, focusing on integrating advanced NLP models into web applications.