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5 Useful Python Scripts to Automate Boring Everyday Tasks KDnuggets

5 Useful Python Scripts to Automate Boring Everyday Tasks KDnuggets

5 Useful Python Scripts to Automate Boring Everyday TasksKDnuggets Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity.

 Spending too much time on repetitive tasks? These Python scripts will help you automate the mundane stuff that drains your productivity. Read More  

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Marketing agencies using AI in workflows serve more clients AI News

Marketing agencies using AI in workflows serve more clients AI News

Marketing agencies using AI in workflows serve more clientsAI News Of all the many industries, it’s marketing where AI is no longer an “innovation lab” side project but embedded in briefs, production pipelines, approvals, and media optimisation. A WPP iQ post published in December, based on a webinar with WPP and Stability AI, shows what AI deployment in daily operations looks like. Here, we’re talking
The post Marketing agencies using AI in workflows serve more clients appeared first on AI News.

 Of all the many industries, it’s marketing where AI is no longer an “innovation lab” side project but embedded in briefs, production pipelines, approvals, and media optimisation. A WPP iQ post published in December, based on a webinar with WPP and Stability AI, shows what AI deployment in daily operations looks like. Here, we’re talking
The post Marketing agencies using AI in workflows serve more clients appeared first on AI News. Read More  

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How I Optimized My Leaf Raking Strategy Using Linear Programming Towards Data Science

How I Optimized My Leaf Raking Strategy Using Linear ProgrammingTowards Data Science From a weekend chore to a fun application of valuable operations research principles
The post How I Optimized My Leaf Raking Strategy Using Linear Programming appeared first on Towards Data Science.

 From a weekend chore to a fun application of valuable operations research principles
The post How I Optimized My Leaf Raking Strategy Using Linear Programming appeared first on Towards Data Science. Read More  

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The Machine Learning “Advent Calendar” Day 19: Bagging in Excel Towards Data Science

The Machine Learning “Advent Calendar” Day 19: Bagging in ExcelTowards Data Science Understanding ensemble learning from first principles in Excel
The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel appeared first on Towards Data Science.

 Understanding ensemble learning from first principles in Excel
The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel appeared first on Towards Data Science. Read More  

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Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC) Towards Data Science

Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC)Towards Data Science Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and optimization workflows.
The post Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC) appeared first on Towards Data Science.

 Using Agentic AI prompts with the Artificial Bee Colony algorithm to enhance unsupervised clustering and optimization workflows.
The post Agentic AI Swarm Optimization using Artificial Bee Colonization (ABC) appeared first on Towards Data Science. Read More  

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Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at Scale MarkTechPost

Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at Scale MarkTechPost

Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at ScaleMarkTechPost Mistral AI has released Mistral OCR 3, its latest optical character recognition service that powers the company’s Document AI stack. The model, named as mistral-ocr-2512, is built to extract interleaved text and images from PDFs and other documents while preserving structure, and it does this at an aggressive price of $2 per 1,000 pages with
The post Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at Scale appeared first on MarkTechPost.

 Mistral AI has released Mistral OCR 3, its latest optical character recognition service that powers the company’s Document AI stack. The model, named as mistral-ocr-2512, is built to extract interleaved text and images from PDFs and other documents while preserving structure, and it does this at an aggressive price of $2 per 1,000 pages with
The post Mistral AI Releases OCR 3: A Smaller Optical Character Recognition (OCR) Model for Structured Document AI at Scale appeared first on MarkTechPost. Read More  

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How to Build a High-Performance Distributed Task Routing System Using Kombu with Topic Exchanges and Concurrent Workers MarkTechPost

How to Build a High-Performance Distributed Task Routing System Using Kombu with Topic Exchanges and Concurrent WorkersMarkTechPost In this tutorial, we build a fully functional event-driven workflow using Kombu, treating messaging as a core architectural capability. We walk through step by step the setup of exchanges, routing keys, background workers, and concurrent producers, allowing us to observe a real distributed system. As we implement each component, we see how clean message flow,
The post How to Build a High-Performance Distributed Task Routing System Using Kombu with Topic Exchanges and Concurrent Workers appeared first on MarkTechPost.

 In this tutorial, we build a fully functional event-driven workflow using Kombu, treating messaging as a core architectural capability. We walk through step by step the setup of exchanges, routing keys, background workers, and concurrent producers, allowing us to observe a real distributed system. As we implement each component, we see how clean message flow,
The post How to Build a High-Performance Distributed Task Routing System Using Kombu with Topic Exchanges and Concurrent Workers appeared first on MarkTechPost. Read More  

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youtube malware HUORRK

Cracked Software and YouTube Videos Spread CountLoader and GachiLoader Malware The Hacker Newsinfo@thehackernews.com (The Hacker News)

Cybersecurity researchers have disclosed details of a new campaign that has used cracked software distribution sites as a distribution vector for a new version of a modular and stealthy loader known as CountLoader. The campaign “uses CountLoader as the initial tool in a multistage attack for access, evasion, and delivery of additional malware families,” Cyderes […]

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A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization Submission MarkTechPost

A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization SubmissionMarkTechPost In this tutorial, we devise how to orchestrate a fully functional, tool-using medical prior-authorization agent powered by Gemini. We walk through each component step by step, from securely configuring the model to building realistic external tools and finally constructing an intelligent agent loop that reasons, acts, and responds entirely through structured JSON. As we progress,
The post A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization Submission appeared first on MarkTechPost.

 In this tutorial, we devise how to orchestrate a fully functional, tool-using medical prior-authorization agent powered by Gemini. We walk through each component step by step, from securely configuring the model to building realistic external tools and finally constructing an intelligent agent loop that reasons, acts, and responds entirely through structured JSON. As we progress,
The post A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization Submission appeared first on MarkTechPost. Read More  

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EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas Towards Data Science

EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in PandasTowards Data Science Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends in your sales data.
The post EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas appeared first on Towards Data Science.

 Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends in your sales data.
The post EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas appeared first on Towards Data Science. Read More