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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.
Show your value by moving beyond the technical The post Building A Successful Relationship With Stakeholders appeared first on Towards Data Science.
Learn about the limitations of AI in analytics through the example of bearing vibration data analysis The post Why AI Still Canβt Replace Analysts: A Predictive Maintenance Example appeared first on Towards Data Science.
Why vibe-coding is not a step up from "classic" coding β and why it matters The post Human Wonβt Replace Python appeared first on Towards Data Science.
Simplify your query with reusable executed scripts.
If youβre not tracking tokens, youβre basically burning cash every time your app talks to an LLM.
Working with CSVs? These Python one-liners make common file operations faster and cleaner.
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.
You donβt always need a heavy wrapper, a big client class, or dozens of lines of boilerplate to call a large language model.
Discover how to create stunning and engaging applications using Python.
If youβre anything like me, βprocrastinationβ might as well be your middle name. Thereβs 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 [β¦] The post How to Spin Up a Project Structure with Cookiecutter appeared...
Spreadsheets might seem obsolete in the world of relational databases. Theyβre not! Here are situations when spreadsheets easily topple SQL.
Large dataset handling in Python is not exempt from challenges like memory constraints and slow processing workflows.
Before we begin, let's make sure you're in the right place.
See the results of comparing speed and memory efficiency of DuckDB, SQLite, and Pandas on a million-row dataset.
What's happeningβand 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.
Explaining "MineWorld: A real-time and open-source interactive world model on Minecraft" in simple terms. The post Dreaming in BlocksβMineWorld, the Minecraft WorldModel appeared first on Towards Data Science.
Agentic artificial intelligence (AI) represents the most significant shift in machine learning since deep learning transformed the field.
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.
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.
These 7 prompt templates will make LLMs your most useful assistant.
Large language models (LLMs) are widely used in applications like chatbots, customer support, code assistants, and more.
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.
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.
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.
Get control of your data workflows with these essential CLI tools.
Available in preview via the API, our Computer Use model is a specialized model built on Gemini 2.5 Proβs capabilities to power agents that can interact with user interfaces.
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.
How to speed up exploratory data analysis with Pythonβs automated tools and get 80% of the insights in 20% of the time.
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.
The good news is that recognizing these red flags early can cut your attack costs in half. Prevention beats recovery every time.
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 βthinkβ more deeply when a prompt benefits from careful analysis.
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.
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.
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.