Towards Data Science
Jun 12
I Thought Data Engineering Was Just Writing Scripts. I Was Wrong.
I tried to make my ETL pipeline production-ready. Three things broke.
Deploying Data Science Tools: Part 1
The article titled "Deploying Data Science Tools: Part 1" discusses how to get your data science code running anywhere. It focuses on the practical steps and considerations for deploying data science tools across different environments. The post was originally published on Towards Data Science.
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How to Effectively Deploy Code With Claude Code
Learn how to optimize your CI/CD pipeline for coding agents The post How to Effectively Deploy Code With Claude Code appeared first on Towards Data Science .
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Aug 25
A New Towards Data Science: A Faster Site and a Brand-New Contributor Portal
Towards Data Science has announced a major overhaul of its website and contributor portal. The new site promises faster performance and a brand‑new portal for writers, aiming to improve the experience for both readers and contributors. The update is positioned as a significant upgrade for anyone who reads, writes, or both on the platform.
Towards Data Science
Jun 24
Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable
A practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development. The post Your First Task as a Data Engineer in a New Company?
Towards Data Science
Oct 2
Where the Agent Development Lifecycle Fits
The article "Where the Agent Development Lifecycle Fits" discusses how to coordinate the development of agent capabilities with the applications they power. It highlights the importance of aligning agent creation processes with the needs of the end‑use cases they support. The piece appears on Towards Data Science and focuses on integrating agent development into broader application workflows.
Towards Data Science
Sep 30
Insight Is Still the Currency of Data Science
The article titled "Insight Is Still the Currency of Data Science" discusses how coding agents free up time for discovery and argues that review practices should evolve to align with analytical work. It emphasizes the importance of focusing on insight rather than merely producing code. The piece was originally published on Towards Data Science.
Towards Data Science
Oct 9
Build Your First AI Agent with One Tool Call
The article titled "Build Your First AI Agent with One Tool Call" introduces beginners to AI agents, presenting the first part of a series. It focuses on the foundational steps required to create an AI agent using a single tool call. The post is published on Towards Data Science and serves as an introductory guide for newcomers to the field.
Towards Data Science
Oct 8
AI Engineers, Applied Scientists, Forward Deployed Engineers: Let's Unpack.
The article examines the emerging data science roles that have surfaced following the Large Language Model boom, focusing on AI Engineers, Applied Scientists, and Forward Deployed Engineers. It explores how these positions differ and what responsibilities they entail in the current AI landscape. The piece provides an overview of each role’s unique contributions to the development and deployment of AI technologies.
Towards Data Science
Sep 18
Starting a Career in Data Science in the Age of AI
How do you set yourself up for a career that will stand the test of time when things are changing so fast? The post Starting a Career in Data Science in the Age of AI appeared first on Towards Data Sc...
Towards Data Science
Aug 4
Using Agents as Tools
Building manager–specialist workflows with the OpenAI Agents SDK The post Using Agents as Tools appeared first on Towards Data Science .
Towards Data Science
Jun 15
How to Effectively Align with Claude Code
Increase productivity with your LLMs The post How to Effectively Align with Claude Code appeared first on Towards Data Science .
Towards Data Science
Oct 9
Stop Using AI. Start Hiring It.
The article argues that AI agents have surpassed human capacity in code production, prompting a shift in perspective from merely using AI to actively employing it. It highlights how this development has altered the author's view on AI’s role in software development. The piece suggests that embracing AI as a collaborator is now essential.