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With April just behind us, it’s once again time for one of our favorite rituals: looking back at all the stellar articles TDS authors have published in the past few weeks, and celebrating the ones that resonated the most with our community.
Our April highlights cover topics as diverse as web development, multi-agent AI systems, supply-chain analytics, and model context protocol. What they all have in common is a commitment to clarity and actionability, so we hope you take some time to explore (or revisit) many of these top-notch contributions.
In case these articles inspire you to write about your own passion projects or recent discoveries, don’t hesitate to share your work with us: we’re always open for submissions from new authors.
PyScript vs. JavaScript: A Battle of Web Titans
After long dominating the realm of web development, could JavaScript finally see serious competition from a new(ish) contender? Pol Marin explores PyScript’s potential in a head-to-head comparison — which ended up being our most-read story in April.
Agentic AI: Single vs Multi-Agent Systems
Ida Silfverskiold‘s lucid and comprehensive project walkthrough outlines the differences between building, implementing, and working with flexible AI systems compared to more controlled ones.
Create Your Supply Chain Analytics Portfolio to Land Your Dream Job
Geared towards both students and professionals, Samir Saci presents a unique use case for demonstrating your real-world skills.
Other April Highlights
Explore more of our most popular and widely circulated articles of the past month:
- Are you just starting to learn how to code? Egor Howell proposes a clear roadmap to help you master—and then move beyond—the basics.
- Zooming in on an emerging topic within agentic AI, Sandi Besen published an accessible explainer on MCP (Model Context Protocol), and included some helpful code examples for good measure.
- Machine learning meets math in Shubham Panchal‘s meticulous guide to L1 regularization in the context of feature selection.
- How can you use decision trees for quick and effective segmentation tasks? Mariya Mansurova goes into great detail in her recent deep dive.
- Expand your data-workflow automation toolkit by following along Destin Gong‘s GitHub Actions-focused tutorial.
Meet Our New Authors
Every month, we’re thrilled to welcome a fresh cohort of data science, machine learning, and AI experts. Don’t miss the work of some of our newest contributors:
- Prasann Pradeep Patil is a software engineer at Adobe, and is already making a splash at TDS with his new article on powering apps with LLMs.
- Nagharjun Mathi Mariappan works at the intersection of data science, ML, and healthcare; his first contribution revolves around the complexities of navigating MLflow in restricted HPC systems.
- Kirill Vasin joins us with a background in theoretical and experimental physics, and a debut article on innovative presentation techniques.
Contribute to TDS
We love publishing articles from new authors, so if you’ve recently written an interesting project walkthrough, tutorial, or theoretical reflection on any of our core topics, why not share it with us?
