The Programming Languages Podcast with Fexingo: Python, Rust, JavaScript, and Modern Coding

The Programming Languages Podcast with Fexingo: Python, Rust, JavaScript, and Modern Coding

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The Programming Languages Podcast with Fexingo: Python, Rust, JavaScript, and Modern Coding episodes

  • Why Python Is Still King in 2026

    In the debut episode of The Programming Languages Podcast with Fexingo, Lucas and Luna zoom in on Python's enduring dominance as we hit mid-2026. They break down a single surprising number: Python now runs over 72% of all AI/ML workloads in production, up from 63% two years ago. They contrast this with the Rust hype cycle — yes, Rust is eating systems programming, but it's nowhere near Python's breadth in data science and automation. Lucas walks through a specific case: how Netflix's metaflow library (built on Python) powers their content personalization pipeline, while Luna challenges whether Python's GIL still matters now that Python 3.13 has optional free-threading. They also touch on JavaScript's steady hold on web dev, and why TypeScript is actually the fastest-growing language by job postings in 2026. The conversation is grounded, specific, and avoids fanboy wars — just two journalists who actually write code for a living. New episodes drop daily.

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    6 min

About The Programming Languages Podcast with Fexingo: Python, Rust, JavaScript, and Modern Coding

From the publisher's feed

Every line of code is a decision, and every programming language encodes a philosophy. In The Programming Languages Podcast, Lucas and Luna move past syntax flame wars to examine the actual trade-offs behind Python, Rust, JavaScript, and the modern coding stack. Each episode dissects a specific language feature, framework choice, or ecosystem shift — from Rust's borrow checker and memory safety guarantees to JavaScript's type system evolution with TypeScript, and Python's dominance in machine learning versus its performance bottlenecks. They ground every discussion in real-world benchmarks, open-source projects like Deno and PyPy, and case studies from companies that bet on one language over another. Lucas brings the reporter's instinct for clarity and hard numbers; Luna tests those findings with the engineer's skepticism and hands-on experience. You will walk away understanding not just what a language does, but why it was designed that way, and when you should — or shouldn't — use it. What does Rust's ownership model teach us about concurrency? Is JavaScript's flexibility a feature or a bug for large-scale systems? Can Python ever overcome the GIL? This is the podcast for developers who are tired of cargo-culting and want to think critically about the tools they use every day.