Mastering f-strings in Python
KDnuggets
NOVEMBER 7, 2024
Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.
KDnuggets
NOVEMBER 7, 2024
Discover how to leverage Python's f-strings (formatted string literals) to write cleaner, more efficient, and more readable code.
databricks
NOVEMBER 7, 2024
Introduction Databricks AI/BI Dashboards have made significant strides since we announced their General Availability. Built on Databricks SQL and powered by Data Intelligence.
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KDnuggets
NOVEMBER 7, 2024
Curious about LLM agents? Here’s a list of free courses, guides, and blogs that make it easy to start learning and stay updated.
databricks
NOVEMBER 7, 2024
As the season of giving approaches, we at Databricks have been making our list and checking it twice--but instead of toys and treats.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Confluent
NOVEMBER 7, 2024
Apache Kafka 3.9 includes multiple KIPs covering Kafka Core, Connect, and Streams—adding dynamic KRaft quorums, better ZK migration, Tiered Storage improvements & more.
databricks
NOVEMBER 7, 2024
We are excited to share the latest features and performance improvements that make Databricks SQL simpler, faster, and more affordable than ever. Databricks.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Towards Data Science
NOVEMBER 7, 2024
What is the difference and how should we treat data in the enterprise?
phData: Data Engineering
NOVEMBER 7, 2024
Large Vision Models (LVMs) have transformed the field of computer vision, setting new benchmarks in image recognition, image segmentation, and object detection. Historically, convolutional neural networks (CNNs) have dominated computer vision tasks. However, with the introduction of the Transformer architecture—initially successful in Natural Language Processing (NLP)—the landscape has shifted.
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