Getting Started with the Claude API in Python

Claude Sonnet 5 gives Claude users stronger AI agent tools, wider access, and new pricing for developers working with Claude Code and the Claude API.

In this tutorial, we explore CUP, Baidu's Common Useful Python library, as a practical utility toolkit for stronger Python workflows. We install it in a Colab-friendly environment and walk its subsystems step by step. We cover logging, decorators, nested configuration, caching, ID generation, thread pools, scheduling, and Linux resource monitoring. Along the way, we connect each module to real tasks like automation, concurrency, and reliability checks. The post CUP (Common Useful Python): Building Reliable Python Workflows with Baidu’s Utility Toolkit appeared first on MarkTechPost.

GoMining is announcing the GoBTC Pay Gen1 SDK and API, allowing merchants, wallet providers, and ecosystem partners to integrate Bitcoin payments into real-world products and services. The introduction represents the next step of GoBTC Pay, GoMining’s layer 1 Bitcoin payment technology intended to facilitate quick, non-custodial Bitcoin transactions. The Gen1

Check out this practical list of Python projects covering AI automation, machine learning, APIs, dashboards, data analysis, and portfolio-ready apps, with guides, demos, repositories, and datasets.

The new SDK feature lets developers route payments from Bitcoin balances to recipients in USDC and USDT without requiring users to hold stablecoins.

In this tutorial, we build a complete, self-contained OCRmyPDF pipeline in Python. We generate synthetic image-only PDFs so we can test OCR without external files, then convert them into searchable PDFs and PDF/A outputs. We extract sidecar text, validate results, measure word-recall, and compare file sizes. We also tune Tesseract, clean noisy scans, correct orientation, run OCR in memory, and batch-process whole folders. The post OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing appeared first on MarkTechPost.

Microsoft is continuing its push to bring generative AI (genAI) into Excel, with new Microsoft 365 Copilot skills designed to automate common processes and a “plan” mode to provide more control over Copilot’s outputs when handling financial data. Microsoft made Microsoft 365 Copilot generally available in Excel in late 2024 and since then has added several capabilities, including agentic tools, a Copilot function within Excel, and Python support for advanced data analysis.   On Thursday, Microsoft unveiled a skills feature that lets users define processes Copilot can perform in Excel — such as building a discounted cash flow, Microsoft suggested, preparing a variance analysis, or refreshing a monthly reporting model.   “Instead of starting from scratch each time, a skill guides Copilot through the steps, applying the right structure and formatting, and helping produce an output that is easier to review, reuse, and trust,” Brian Jones, vice president for Excel at Microsoft, said in a bl

SpatialClaw is NVIDIA Research’s latest AI framework that enables agents to write, execute, and refine their own reasoning through executable Python code rather than relying on predefined tool calls. The approach delivers significant gains in spatial intelligence across complex 3D and 4D tasks without requiring additional training.