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Claude Paugh

Claude Paugh

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Data Architect

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Join date: Nov 26, 2024

About


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I have more than 25 years experience in the technology industry. My career started in technology infrastructure and networking, then moved into software engineering. I moved from Canada to the United States during the dot.com boom, and for the last 18+ years I have concentrated on Data Architecture and Engineering.

Some of my career and project highlights are below. You can find me on LinkedIn, and our company page. You can also ask our AI chat bot for more information if you would like more details.


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https://www.perarduaconsulting.com/about

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First Name
Claude
Last Name
Paugh

Posts (81)

Nov 5, 20255 min
When to Use Classes Over Standalone Functions in Python and Their Advantages
In Python programming, developers regularly grapple with choosing between classes and standalone functions when building their applications. This decision plays a key role in shaping the structure, readability, and maintainability of the code. Knowing when to opt for classes versus standalone functions can lead to better, more efficient coding practices. In this post, we will analyze the advantages and drawbacks of both methods, along with discussing how efficient coding can actually save time

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Nov 4, 20254 min
Navigating the Python GIL: Methods to Overcome Global Interpreter Lock Challenges for Parallel Processing
Python stands out for its simplicity and versatility. However, one of the biggest hurdles developers encounter when using Python is the Global Interpreter Lock (GIL). This post will explore what the GIL is, how it impacts parallel processing, and practical ways to tackle the challenges it presents.

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Nov 2, 20254 min
Understanding the Key Differences Between AI Systems and Traditional Software Applications
Distinguishing between artificial intelligence (AI) systems and traditional software applications is important for organizations that want a competitive edge. As organizations and individuals aim to harness the power of AI, grasping these distinctions is vital for making smart choices about technology adoption. This article will explore the key differences between AI systems and traditional software applications, their component communication, and present a visual comparison of their structures.

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