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Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know.
Other updates include support for open source Apache Spark and Kafka integrations to BigQuery.
Apache Iceberg provides an open table format for interoperability across data lakes, showing the importance of a true open standard.
Version 1.0 of the reactive web framework for Python also includes a testing framework, data frame improvements, and new styling options for interactive tables.
Effective data-driven decision-making requires good tools, high-quality data, efficient processes, and prepared people. Here’s how to achieve it.
Fueled by vibes and with stars in their eyes, enterprises are not taking the time to understand generative AI’s limitations and to create their own rules-based approach.
The end-of-month report features 10 ways to make Python faster, a deep dive into CPython garbage collection, and Python Polars closing in on a production release.
Posit, formerly RStudio, has released a beta of Positron, a ‘next generation’ data science development environment based on Visual Studio Code.
A brief guide to data visualization, data analytics, and data science platform capabilities and differences, and seven steps to selecting the right data platform for your needs.
New platform product supports transactional, analytical, and AI workloads.