Abstract: Computational notebooks are intended to prioritize the needs of scientists, but little is known about how scientists interact with notebooks, what requirements drive scientists' software ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

The Centers for Medicare and Medicaid Services (CMS) created two new G codes in the 2025 Medicare Physician Fee Schedule final rule that will provide reimbursement for atherosclerotic cardiovascular ...

unyani, (Bono), Sept. 8, GNA – Mr Gabriel Kwadwo Afram, an Information and Communication Technology (ICT) tutor has advocated the use of ‘physical 3D scratch coding blocks’ for teaching in basic ...

A vulnerability in Google's Gemini CLI allowed attackers to silently execute malicious commands and exfiltrate data from developers' computers using allowlisted programs. The flaw was discovered and ...

Cybersecurity firm Eye Security has revealed a critical vulnerability in Microsoft Copilot Enterprise that allowed its researchers to gain root-level control and execute arbitrary code within the AI ...

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The qsharp pip package provides seamless interoperability between Q# and Python. You can execute Q# code right from your Python script or Jupyter notebook. In this tutorial we will use VS Code, Q#, ...

In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential asynchronous HTTP libraries (aiohttp, nest-asyncio) ...