A practical next step into partitions, shuffles, joins, caching, and execution plans. The post PySpark for Beginners: Building Intermediate-Level Skills appeared first on Towards Data Science .
By Thomas Reid
Learn practical ChatGPT Work workflows for root-cause briefs, KPI memos, scoped analyses, and dashboard specifications.
Introducing GPT-5. 3-Codex-Spark—our first real-time coding model.
arXiv:2606. 07491v1 Announce Type: cross Abstract: High-performance computing (HPC) clusters remain the backbone of large-scale scientific computation, traditionally executing deterministic, linear pipelines optimised for predictable performance.
By Jamie J. Alnasir
arXiv:2606. 09239v1 Announce Type: new Abstract: While visual programming of data analysis workflows has become an important vehicle for the democratization of data science, such systems remain largely confined to standalone applications and offer limited support for transitioning their visual analytics solutions into interactive web environments.
By Matej Bevec, Ale\v{s} Erjavec, Vesna Tanko, Lena Trnovec, Lan \v{Z}agar, Ana Fari\v{c}, Janez Dem\v{s}ar, Bla\v{z} Zupan
A practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development. The post Your First Task as a Data Engineer in a New Company?
By Jiayan Yin
arXiv:2607. 16038v1 Announce Type: new Abstract: Scientific work increasingly spans heterogeneous artifacts -- papers, code, datasets, scientific file formats, model outputs, figures, manuscripts, and team decisions -- yet general-purpose AI assistants rarely preserve these objects as a coherent, auditable research state.
By SciForge Team, Zhangyang Gao, Minghao Fang, Yifei Liu, Hanhui Yang, Xinyu Gu, Shixiang Tang, Siqi Sun, Lei Bai, Cheng Tan, Mengdi Liu, Hao Wu, Shuizhou Chen
Building manager–specialist workflows with the OpenAI Agents SDK The post Using Agents as Tools appeared first on Towards Data Science .
By Shuai Guo
Learn practical ChatGPT Work workflows for pipeline briefs, meeting prep, account plans, forecast reviews, and deal diagnosis.
arXiv:2608. 04942v1 Announce Type: cross Abstract: CheMLFlow is an open-source platform for building and executing end-to-end, high-throughput, and agentic workflows for scientific and technological applications.
By Brendan Smith, Susana Lopez-Moreno, Eric Dolores-Cuenca, Sangil Kim, Jose L. Mendoza-Cortes, Nijamudheen Abdulrahiman
Learn practical ChatGPT Work workflows for initiative briefs, strategy updates, decision packets, and progress reporting.
Learn practical ChatGPT Work workflows for reporting, variance analysis, forecasts, monthly reviews, and decision-ready finance deliverables.