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Learning Triton One Kernel at a Time: Matrix Multiplication

Tiled GEMM, GPU memory, coalescing, and much more! The post Learning Triton One Kernel at a Time: Matrix Multiplication appeared first on Towards Data Science.

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Building A Successful Relationship With Stakeholders

Show your value by moving beyond the technical The post Building A Successful Relationship With Stakeholders appeared first on Towards Data Science.

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Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example

Learn about the limitations of AI in analytics through the example of bearing vibration data analysis The post Why AI Still Can’t Replace Analysts: A Predictive Maintenance Example appeared first on Towards Data Science.

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Human Won’t Replace Python

Why vibe-coding is not a step up from "classic" coding β€” and why it matters The post Human Won’t Replace Python appeared first on Towards Data Science.

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Data Analytics Automation Scripts with SQL Stored Procedures

Simplify your query with reusable executed scripts.

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The Beginner’s Guide to Tracking Token Usage in LLM Apps

If you’re not tracking tokens, you’re basically burning cash every time your app talks to an LLM.

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10 Useful Python One-Liners for CSV Processing

Working with CSVs? These Python one-liners make common file operations faster and cleaner.

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5 Signs Your Business Is Ready For AI (Sponsored)

How do you know if you're ready to take the AI plunge? Here are five dead giveaways that AI could transform how you work.

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10 Python One-Liners for Calling LLMs from Your Code

You don’t always need a heavy wrapper, a big client class, or dozens of lines of boilerplate to call a large language model.

Machine Learning Mastery favicon Machine Learning Mastery β€’ 7 days ago β€’ 1 min read

Building Pure Python Web Apps with Reflex

Discover how to create stunning and engaging applications using Python.

KDnuggets favicon KDnuggets β€’ 8 days ago β€’ 1 min read

How to Spin Up a Project Structure with Cookiecutter

If you’re anything like me, β€œprocrastination” might as well be your middle name. There’s always that nagging hesitation before starting a new project. Just thinking about setting up the project structure, creating documentation, or writing a decent README is enough to trigger yawns. It feels like staring at a blank page for a dreaded school […] The post How to Spin Up a Project Structure with Cookiecutter appeared...

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Here’s When You Would Choose Spreadsheets Over SQL

Spreadsheets might seem obsolete in the world of relational databases. They’re not! Here are situations when spreadsheets easily topple SQL.

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7 Pandas Tricks to Handle Large Datasets

Large dataset handling in Python is not exempt from challenges like memory constraints and slow processing workflows.

Machine Learning Mastery favicon Machine Learning Mastery β€’ 8 days ago β€’ 1 min read

Building Transformer Models from Scratch with PyTorch (10-day Mini-Course)

Before we begin, let's make sure you're in the right place.

Machine Learning Mastery favicon Machine Learning Mastery β€’ 10 days ago β€’ 1 min read

We Benchmarked DuckDB, SQLite, and Pandas on 1M Rows: Here’s What Happened

See the results of comparing speed and memory efficiency of DuckDB, SQLite, and Pandas on a million-row dataset.

KDnuggets favicon KDnuggets β€’ 11 days ago β€’ 1 min read

10 Data + AI Observations for Fall 2025

What's happeningβ€”and what's nextβ€” for data and AI at the close of 2025. The post 10 Data + AI Observations for Fall 2025 appeared first on Towards Data Science.

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Dreaming in Blocksβ€Šβ€”β€ŠMineWorld, the Minecraft WorldΒ Model

Explaining "MineWorld: A real-time and open-source interactive world model on Minecraft" in simple terms. The post Dreaming in Blocksβ€”MineWorld, the Minecraft WorldModel appeared first on Towards Data Science.

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The Machine Learning Practitioner’s Guide to Agentic AI Systems

Agentic artificial intelligence (AI) represents the most significant shift in machine learning since deep learning transformed the field.

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Past is Prologue: How Conversational Analytics Is Changing Data Work

The future of reporting will be about encoding the value proposition of a product into prompt design. The post Past is Prologue: How Conversational Analytics Is Changing Data Work appeared first on Towards Data Science.

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How the Rise of Tabular Foundation Models Is Reshaping Data Science

A turning point for data analysis? The post How the Rise of Tabular Foundation Models Is Reshaping Data Science appeared first on Towards Data Science.

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Prompt Engineering Templates That Work: 7 Copy-Paste Recipes for LLMs

These 7 prompt templates will make LLMs your most useful assistant.

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Build an Inference Cache to Save Costs in High-Traffic LLM Apps

Large language models (LLMs) are widely used in applications like chatbots, customer support, code assistants, and more.

Machine Learning Mastery favicon Machine Learning Mastery β€’ 12 days ago β€’ 1 min read

Know Your Real Birthday: Astronomical Computation and Geospatial-Temporal Analytics in Python

A hands-on walkthrough using skyfield, timezonefinder, geopy, and pytz, and further practical applications The post Know Your Real Birthday: Astronomical Computation and Geospatial-Temporal Analytics in Python appeared first on Towards Data Science.

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A Complete Guide to Seaborn

Seaborn is a statistical visualization library for Python that sits on top of Matplotlib. It gives you clean defaults, tight integration with Pandas DataFrames, and high-level functions that reduce boilerplate.

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Data Visualization Explained (Part 3): The Role of Color

A simple and powerful guide to using color for more impactful data stories. The post Data Visualization Explained (Part 3): The Role of Color appeared first on Towards Data Science.

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10 Command-Line Tools Every Data Scientist Should Know

Get control of your data workflows with these essential CLI tools.

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Introducing the Gemini 2.5 Computer Use model

Available in preview via the API, our Computer Use model is a specialized model built on Gemini 2.5 Pro’s capabilities to power agents that can interact with user interfaces.

DeepMind Blog favicon DeepMind Blog β€’ 13 days ago β€’ 1 min read

How I Actually Use Statistics as a Data Scientist

In this article, I will give you examples of how I use statistics in my data science job, along with the resources I used to gain this knowledge.

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The Lazy Data Scientist’s Guide to Exploratory Data Analysis

How to speed up exploratory data analysis with Python’s automated tools and get 80% of the insights in 20% of the time.

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This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over aΒ Year

What took GPT-4o 2 hours to solve, Sonnet 4.5 does in 5seconds The post This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over aYear appeared first on Towards Data Science.

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5 Signs Your Business Is a Prime Target for Cyberattacks

The good news is that recognizing these red flags early can cut your attack costs in half. Prevention beats recovery every time.

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Is ChatGPT-5 Able to Provide Proofs for Advanced Mathematics?

One of the claims made by OpenAI regarding its latest model, GPT-5 , is a breakthrough in reasoning for math and logic, with the ability to β€œthink” more deeply when a prompt benefits from careful analysis.

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How to Perform Effective Agentic Context Engineering

Learn how to optimize the context of your agents, for powerful agentic performance The post How to Perform Effective Agentic Context Engineering appeared first on Towards Data Science.

Towards Data Science favicon Towards Data Science β€’ 15 days ago β€’ 1 min read

How I Used ChatGPT to Land My Next Data ScienceΒ Role

Practical AI hacks for every stage of the job search β€” with real prompts andexamples The post How I Used ChatGPT to Land My Next Data ScienceRole appeared first on Towards Data Science.

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How To Build Effective Technical Guardrails for AI Applications

Exploring the most practical guardrails to implement at ground level The post How To Build Effective Technical Guardrails for AI Applications appeared first on Towards Data Science.

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