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Security

Posts about Security

Don’t Trust `pip install`: My Defensive Python Workflow
12 mins read

Don’t Trust `pip install`: My Defensive Python Workflow

  • DevOps
December 26, 2025December 26, 2025 Silas MontgomeryTagged PyPI safety

I still remember the cold sweat I felt last Tuesday. I was rushing to meet a deadline, tired and over-caffeinated, when I almost Learn about PyPI safety.

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Strengthening the Core: The Future of NumPy, Scikit-learn, and Scientific Python Performance
11 mins read

Strengthening the Core: The Future of NumPy, Scikit-learn, and Scientific Python Performance

  • AI/ML
December 22, 2025December 26, 2025 Silas MontgomeryTagged NumPy news

NumPy news: The Python ecosystem has long been the dominant force in data science, machine learning, and scientific computing. At the heart of this domi…

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Deep Dive into Modern Malware Analysis: Techniques, Python Automation, and Reverse Engineering
12 mins read

Deep Dive into Modern Malware Analysis: Techniques, Python Automation, and Reverse Engineering

  • Automation
December 20, 2025December 26, 2025 Silas MontgomeryTagged Malware analysis

Malware analysis is the art of dissecting malicious software to understand its behavior, origin, and potential impact. In an era where threa…

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Advanced Python Security: Post-Quantum Cryptography, Async Streams, and Fuzzing
13 mins read

Advanced Python Security: Post-Quantum Cryptography, Async Streams, and Fuzzing

  • DevOps
December 14, 2025December 26, 2025 Riko IshikawaTagged Python security

Introduction The landscape of Python security is undergoing a paradigm shift. As Python cements its position as the lingua franca of data sc…

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The Rust Revolution: Mastering Ruff for High-Performance Python Linting
11 mins read

The Rust Revolution: Mastering Ruff for High-Performance Python Linting

  • DevOps
December 11, 2025December 27, 2025 Silas MontgomeryTagged Ruff linter

Introduction: The Shift to High-Performance Tooling The Python landscape is undergoing a seismic shift. For years, developers Learn about Ruff linter.

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Building Secure, Air-Gapped AI Assistants: A Deep Dive into Local LLM Integration with Python
12 mins read

Building Secure, Air-Gapped AI Assistants: A Deep Dive into Local LLM Integration with Python

  • AI/ML
December 10, 2025December 26, 2025 Riko IshikawaTagged Local LLM

Local LLM: The landscape of Artificial Intelligence is undergoing a seismic shift. While cloud-based APIs dominated the early generative AI era, the in…

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Modern Malware Analysis: Automating Threat Detection with Python and AI
13 mins read

Modern Malware Analysis: Automating Threat Detection with Python and AI

  • AI/ML
December 1, 2025December 26, 2025 Mateo VargasTagged Malware analysis

Introduction The landscape of cybersecurity is in a perpetual state of flux. As threat actors develop increasingly Learn about Malware analysis.

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The Edge AI Revolution: Deploying Local LLMs and High-Performance Inference with Python
11 mins read

The Edge AI Revolution: Deploying Local LLMs and High-Performance Inference with Python

  • AI/ML
November 30, 2025December 26, 2025 Mateo VargasTagged Edge AI

Edge AI: The paradigm of Artificial Intelligence is undergoing a seismic shift. For the past decade, the dominant narrative focused on massive cloud …

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Securing the Spider: A Deep Dive into Scrapy Updates, Redirect Policies, and the Modern Python Ecosystem
13 mins read

Securing the Spider: A Deep Dive into Scrapy Updates, Redirect Policies, and the Modern Python Ecosystem

  • Automation
November 25, 2025December 27, 2025 Mateo VargasTagged Scrapy updates

Introduction In the rapidly evolving landscape of data extraction and Python automation, Scrapy remains the quintessential Learn about Scrapy updates.

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Mastering Code Quality with SonarLint Python: A Comprehensive Guide to Static Analysis in Modern Development
9 mins read

Mastering Code Quality with SonarLint Python: A Comprehensive Guide to Static Analysis in Modern Development

  • DevOps
November 23, 2025December 27, 2025 Silas MontgomeryTagged SonarLint python

SonarLint python: In the rapidly evolving landscape of software development, maintaining code quality is not merely a preference; it is a necessity.

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