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Advice, insights, and ideas from the Medium data science community
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AI Agents in 5 Levels of Difficulty (With Full Code Implementation)
AI Agents in 5 Levels of Difficulty (With Full Code Implementation)
About two weeks before a big product deadline, my prototype agent broke in the worst way.
Paolo Perrone
May 19
Fully Explained Git + Python Workflow with uv, ruff, and ty
Fully Explained Git + Python Workflow with uv, ruff, and ty
Whether you’re new to Git or a Python dev wanting to modernize your flow, here’s a clear breakdown of what each command and tool does —…
Gwang-Jin
May 17
DepthAnything v2 Tutorial: How to Convert 2D Images to 3D Models with Python
DepthAnything v2 Tutorial: How to Convert 2D Images to 3D Models with Python
Learn to convert any image into detailed 3D models using AI and Python. No specialized hardware required — just follow this step-by-step…
Florent Poux, Ph.D.
May 17
Long Text Processing Method — Yarn
Long Text Processing Method — Yarn
Previously, we introduced the RoPE algorithm for handling long texts shown in the below essay. However, during inference, if the text…
tangbasky
May 17
Latest
From Question to Query: Using LLMs to Auto-Generate SQL Queries from Natural Language
From Question to Query: Using LLMs to Auto-Generate SQL Queries from Natural Language
How Large Language Models Are Making SQL as Simple as Asking a Question.
Benjamin Nweke
May 17
My learning to being hired again after a year… Part 2
My learning to being hired again after a year… Part 2
One Year Later: What I Learned Still Matters
Amy Ma
May 17
Vibe Coding: Prompt Your App
Vibe Coding: Prompt Your App
How vibe coding stacks up against no-code, who should use it, and why programming fundamentals still matter
Maxime Jabarian
May 17
Ruff: Lint & Format Python at Ludicrous Speed
Ruff: Lint & Format Python at Ludicrous Speed
Your ultimate guide to cleaner code, effortless automation, and becoming a more efficient pythonista
Gwang-Jin
May 17
Understanding the KV-Cache In LLMs
Understanding the KV-Cache In LLMs
How reusing attention calculations speeds up LLM inference
Dr. Leon Eversberg
May 17
How robust does your data analysis need to be to become an Oxford University professor?
How robust does your data analysis need to be to become an Oxford University professor?
Apparently, not very
Cai Parry-Jones
May 17
Ten Lessons from a Year Building AI Agents in LegalTech
Ten Lessons from a Year Building AI Agents in LegalTech
An AI engineer’s journey optimizing legal workflows with lessons learned from building, deploying, and maintaining intelligent agents.
Marcus K. Elwin
May 17
3 LLM Tools You’re Not Using (But Should Be) for NLP Mastery
3 LLM Tools You’re Not Using (But Should Be) for NLP Mastery
Hidden Gems That Fix Hallucinations, Slash Costs, and Make You Look Like a Genius
Rauf Azam
May 17
Exploring the OCI Language Service
Exploring the OCI Language Service
Making Language Detection & Translation Easy
Harry Snart
May 17
Building AI Applications in Ruby
Building AI Applications in Ruby
Why Ruby may be the best language to write your next AI web application
Ed Izaguirre
May 17
From Text to Visuals: The AI Tool That Helps You Build Diagrams for Anything
From Text to Visuals: The AI Tool That Helps You Build Diagrams for Anything
Just paste your content and get 10+ smart diagram ideas — perfect for slides, strategy docs, and demos.
Mukundan Sankar
May 17
How to Succeed in Data Science as an Introvert
How to Succeed in Data Science as an Introvert
Practical Tips for Effective Communication, Collaboration, and Focus
Claudia Ng
May 17
Why It’s So Hard to Find a Job in 2025 (And How to Fix That)
Why It’s So Hard to Find a Job in 2025 (And How to Fix That)
#2 is a vicious loop
Mandy Liu
May 17
Key Challenges Policymakers Face in Balancing Innovation and Risk Mitigation in AI
Key Challenges Policymakers Face in Balancing Innovation and Risk Mitigation in AI
Artificial intelligence is no longer a niche technology. It’s writing our emails, diagnosing diseases, optimizing logistics, powering…
Abdullah Topraksoy
May 17
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