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Python functools & itertools: 7 Super Handy Tools for Smarter Code
Want to code smarter, not harder? Start using these 7 utilities from Python's functools and itertools that are useful, practical, and elegant!
Published on: July 02, 2025 | Source:
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5 Fun Python Projects for Absolute Beginners
Bored of theory? These hands-on Python projects make learning interactive, practical, and actually enjoyable.
Published on: July 02, 2025 | Source:5 Advanced RAG Architectures Beyond Traditional Methods
Retrieval-augmented generation (RAG) has shaken up the world of language models by combining the best of two worlds:
Published on: July 02, 2025 | Source:How to Access NASAβs Climate Data β And How Itβs Powering the Fight Against Climate Change Pt. 1
From architectural design to food security. The post How to Access NASAβs Climate Data β And How Itβs Powering the Fight Against Climate Change Pt. 1 appeared first on Towards Data Science.
Published on: July 01, 2025 | Source:STOP Building Useless ML Projects β What Actually Works
How to find machine learning projects that will get you hired. The post STOP Building Useless ML Projects β What Actually Works appeared first on Towards Data Science.
Published on: July 01, 2025 | Source:An Introduction to Remote Model Context Protocol Servers
Writing, testing and using them. The post An Introduction to Remote Model Context Protocol Servers appeared first on Towards Data Science.
Published on: July 01, 2025 | Source:Revisiting Benchmarking of Tabular Reinforcement Learning Methods
Introducing a modular framework and improving model performance. The post Revisiting Benchmarking of Tabular Reinforcement Learning Methods appeared first on Towards Data Science.
Published on: July 01, 2025 | Source:From Reporting to Reasoning: How AI Is Rewriting the Rules of Data App Development
Explore the shift from static reports to intelligent apps with our first ebook. The post From Reporting to Reasoning: How AI Is Rewriting the Rules of Data App Development appeared first on Towards Data Science.
Published on: July 01, 2025 | Source:Why Agentic AI Isnβt Pure Hype (And What Skeptics Arenβt Seeing Yet)
A developer's take on why agentic AI systems are actually useful and not just another buzzword.
Published on: July 01, 2025 | Source:10 GitHub Awesome Lists for Data Science
Most popular educational resource list on GitHub for Python, R, SQL, analytics, machine learning, datasets, and more.
Published on: July 01, 2025 | Source:Mixture of Experts Architecture in Transformer Models
This post covers three main areas: β’ Why Mixture of Experts is Needed in Transformers β’ How Mixture of Experts Works β’ Implementation of MoE in Transformer Models The Mixture of Experts (MoE) concept was first introduced in 1991 by
Published on: July 01, 2025 | Source:Prescriptive Modeling Makes Causal Bets β Whether You Know it or Not!
An explanation of the causal assumption implicit in prescriptive modeling and how to satisfy it. The post Prescriptive Modeling Makes Causal Bets β Whether You Know it or Not! appeared first on Towards Data Science.
Published on: June 30, 2025 | Source:A Gentle Introduction to Backtracking
Conceptual overview and hands-on examples The post A Gentle Introduction to Backtracking appeared first on Towards Data Science.
Published on: June 30, 2025 | Source:Lessons Learned After 6.5 Years Of Machine Learning
Deep work, trends, data, and research The post Lessons Learned After 6.5 Years Of Machine Learning appeared first on Towards Data Science.
Published on: June 30, 2025 | Source:From Pixels to Plots
How I built an AI-powered prototype to turn images into insights The post From Pixels to Plots appeared first on Towards Data Science.
Published on: June 30, 2025 | Source:Become a Better Data Scientist with These Prompt Engineering Tips and Tricks
Part 1: prompt engineering for planning, cleaning, and EDA The post Become a Better Data Scientist with These Prompt Engineering Tips and Tricks appeared first on Towards Data Science.
Published on: June 30, 2025 | Source:Your First Local LLM API Project in Python Step-By-Step
Interested in leveraging a large language model (LLM) API locally on your machine using Python and not-too-overwhelming tools frameworks? In this step-by-step article, you will set up a local API where you'll be able to send prompts to an LLM downloaded on your machine and obtain responses back.
Published on: June 30, 2025 | Source:A Beginnerβs Guide to Mastering Gemini + Google Sheets
In this article, we'll go through the implementation of Gemini with Google Sheets.
Published on: June 30, 2025 | Source:Linear Layers and Activation Functions in Transformer Models
This post is divided into three parts; they are: β’ Why Linear Layers and Activations are Needed in Transformers β’ Typical Design of the Feed-Forward Network β’ Variations of the Activation Functions The attention layer is the core function of a transformer model.
Published on: June 30, 2025 | Source:LayerNorm and RMS Norm in Transformer Models
This post is divided into five parts; they are: β’ Why Normalization is Needed in Transformers β’ LayerNorm and Its Implementation β’ Adaptive LayerNorm β’ RMS Norm and Its Implementation β’ Using PyTorch's Built-in Normalization Normalization layers improve model quality in deep learning.
Published on: June 28, 2025 | Source:A Developerβs Guide to Building Scalable AI: Workflows vs Agents
A practical guide to choosing between AI agents and workflows for production systems, covering the hidden costs, architectural trade-offs, and decision framework that can save you thousands in deployment mistakes. Includes real-world examples and a scoring system to determine which approach fits your specific use case. The post A Developerβs Guide to Building Scalable AI: Workflows vs Agents appeared first on Towards...
Published on: June 27, 2025 | Source:How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps
With just two Python files and a handful of methods, you can build a complete dashboard that rivals expensive business intelligence tools.
Published on: June 27, 2025 | Source:How to Learn AI for Data Analytics in 2025
Learn these AI tools to stay relevant as a data professional in 2025.
Published on: June 27, 2025 | Source:Pipelining AI/ML Training Workloads with CUDA Streams
PyTorch Model Performance Analysis and Optimization β Part 9 The post Pipelining AI/ML Training Workloads with CUDA Streams appeared first on Towards Data Science.
Published on: June 26, 2025 | Source:A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline
PyTorch model performance analysis and optimization β Part 8 The post A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline appeared first on Towards Data Science.
Published on: June 26, 2025 | Source:Hitchhikerβs Guide to RAG with ChatGPT API and LangChain
Build a simple Python RAG pipeline using your local files as context The post Hitchhikerβs Guide to RAG with ChatGPT API and LangChain appeared first on Towards Data Science.
Published on: June 26, 2025 | Source:Data Science: From School to Work, Part V
How to profile your Python project The post Data Science: From School to Work, Part V appeared first on Towards Data Science.
Published on: June 26, 2025 | Source:The Mythical Pivot Point from Buy to Build for Data Platforms
For companies with data-intensive architectures, there often comes a pivotal point where building in-house data platforms makes more sense than buying off-the-shelf solutions The post The Mythical Pivot Point from Buy to Build for Data Platforms appeared first on Towards Data Science.
Published on: June 26, 2025 | Source:Automate Data Quality Reports with n8n: From CSV to Professional Analysis
Analyze any CSV dataset from a URL and generate professional quality reports with n8n
Published on: June 26, 2025 | Source:How to Unlock the Power of Multi-Agent Apps
This week, we focus on helping you reap the benefits of multi-agent systems without adding unnecessary complexity. The post How to Unlock the Power of Multi-Agent Apps appeared first on Towards Data Science.
Published on: June 26, 2025 | Source:7 AI Agent Frameworks for Machine Learning Workflows in 2025
Machine learning practitioners spend countless hours on repetitive tasks: monitoring model performance, retraining pipelines, data quality checks, and experiment tracking.
Published on: June 26, 2025 | Source:A Gentle Introduction to Attention Masking in Transformer Models
This post is divided into four parts; they are: β’ Why Attention Masking is Needed β’ Implementation of Attention Masks β’ Mask Creation β’ Using PyTorch's Built-in Attention In the
Published on: June 26, 2025 | Source:Economic Cycle Synchronization with Dynamic Time Warping
The case of theEurozone The post Economic Cycle Synchronization with Dynamic Time Warping appeared first on Towards Data Science.
Published on: June 26, 2025 | Source:How to Train a Chatbot Using RAG and CustomΒ Data
Retrieval-Augmented Generation made easy withLlama The post How to Train a Chatbot Using RAG and CustomData appeared first on Towards Data Science.
Published on: June 25, 2025 | Source:Stop Chasing βEfficiency AI.β The Real Value Is in βOpportunity AI.β
Companies pursuing incremental productivity gains risk being displaced by AI-native competitors building entirely new business models The post Stop Chasing βEfficiency AI.β The Real Value Is in βOpportunity AI.β appeared first on Towards Data Science.
Published on: June 25, 2025 | Source: