Abstract: Python is a simple, dominant and well-organized interpreted language. Python is used to develop the very high performance scientific related application and it is used to develop an ...
As the machinery of science continues to turn, ACS is committed to keeping pace. We continue to expand our offerings and improve our existing resources to help scientists accelerate their research and ...
As generative AI and large language models (LLMs) rapidly reshape the research landscape, psychological scientists are seeking guidance on how to responsibly integrate these tools into their work. The ...
AI-driven visualization platforms like Plotly are transforming how data is explored, shared, and acted upon. By integrating automation, interactivity, and industry-specific templates, these tools ...
Data visualization in Python turns raw numbers into clear, compelling stories. With libraries like Matplotlib and Seaborn, you can create anything from basic charts to polished, presentation-ready ...
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The report found that the shots cut the likelihood of hospitalizations, but the agency’s acting head said it gave an inaccurate picture of the vaccines’ effectiveness. By Apoorva Mandavilli The acting ...
We're excited to announce a partnership with The Open Data Team at the NYC Office of Technology and Innovation (OTI), BetaNYC, and Data Through Design (DxD) for a hands-on tutorial focused on one of ...
‘Publish or perish’ is a common mantra in academia. By that metric, I definitely did not perish in 2025. Last year, I published seven scholarly articles as either the first or corresponding author. As ...
Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an open-source software maintainer after he rejected its code contribution. It might be the first ...
Generating publication-ready illustrations is a labor-intensive bottleneck in the research workflow. While AI scientists can now handle literature reviews and code, they struggle to visually ...
jupyterlite_beginner_tutorial_with_exercises_v2.ipynb — JupyterLite の基本操作と演習問題。 jupyterlite_xeus_r_stats_practice.ipynb — R 統計演習用 Notebook。 numpy_beginner_tutorial.ipynb — NumPy 初級:配列の作成 ...