--- title: Best Towards Data Science posts — September 2025 | daily.dev description: The most upvoted Towards Data Science posts from September 2025, curated by the daily.dev community. canonical: https://daily.dev/sources/tds/best-of/2025/09 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/sources/tds/best-of/2025/09 og:type: website og:site_name: daily.dev og:title: Best Towards Data Science posts — September 2025 | daily.dev og:description: The most upvoted Towards Data Science posts from September 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of Towards Data Science — September 2025 1. 1 [](https://daily.dev/posts/how-to-become-a-machine-learning-engineer-step-by-step--guk7aumsv "How to Become a Machine Learning Engineer (Step-by-Step)") Article Towards Data Science·51w How to Become a Machine Learning Engineer (Step-by-Step) A comprehensive roadmap for becoming a machine learning engineer, covering essential skills from mathematics and statistics to Python programming, SQL, machine learning algorithms, deep learning, software engineering practices, and MLOps. The guide emphasizes practical learning with specific resource recommendations for each area, highlighting that engineering skills are often more important than theoretical knowledge for career success. 41 2. 2 [](https://daily.dev/posts/how-to-build-an-ai-budget-planning-optimizer-for-your-2026-capex-review-langgraph-fastapi-and-n8n-950jrmaje "How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n") Article Towards Data Science·51w How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n A comprehensive guide to building an AI-powered budget planning system that automates CAPEX portfolio optimization. The solution combines LangGraph for agent orchestration, FastAPI for linear programming optimization, and n8n for workflow automation. Users can send budget requests via email and receive optimized project portfolios that maximize ROI while respecting constraints like sustainability requirements. The system includes email parsing, mathematical optimization using PuLP library, and automated report generation for executive decision-making. 37 3. 3 [](https://daily.dev/posts/from-python-to-javascript-a-playbook-for-data-analytics-in-n8n-with-code-node-examples-rbgqeyjap "From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples") Article Towards Data Science·50w From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples A comprehensive guide showing how to translate Python data analytics workflows into JavaScript for n8n automation platform. Demonstrates building ABC and Pareto analysis workflows using n8n's native JavaScript code nodes, with side-by-side comparisons to equivalent Python/Pandas operations. Includes performance benchmarking between JavaScript nodes and FastAPI microservices, showing practical approaches for supply chain analytics automation. 30 4. 4 [](https://daily.dev/posts/how-to-build-effective-agentic-systems-with-langgraph-f9gsgsdr8 "How to Build Effective Agentic Systems with LangGraph") Article Towards Data Science·48w How to Build Effective Agentic Systems with LangGraph LangGraph is an agentic AI framework that simplifies building AI workflows by abstracting state management and tool usage. The framework uses graph-based architecture with nodes (LLM calls or tools) and edges (conditional logic) to create structured workflows. A practical example demonstrates building a document management system with intent classification routing to handle create, delete, and search operations. While LangGraph reduces boilerplate code and provides open-source flexibility, it still requires significant setup and may introduce framework-specific debugging challenges. 18 5. 5 [](https://daily.dev/posts/building-research-agents-for-tech-insights-qhe1koufz "Building Research Agents for Tech Insights") Article Towards Data Science·51w Building Research Agents for Tech Insights A comprehensive guide to building specialized AI research agents that can aggregate and analyze tech content from multiple sources. The approach uses structured workflows, data caching, and prompt chaining to create personalized tech reports. Key components include preprocessing data pipelines, strategic use of small vs large language models for cost optimization, and structured JSON outputs for reliability. The system fetches trending keywords, processes facts from tech forums, and generates themed reports based on user profiles. 12 1 [See all Towards Data Science archives](/sources/tds/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/sources/tds/best-of/2025/09#page","url":"https://daily.dev/sources/tds/best-of/2025/09","name":"Best Towards Data Science Posts — September 2025","description":"The most upvoted Towards Data Science posts from September 2025, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/sources/tds/best-of/2025/09#items","numberOfItems":5,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/how-to-become-a-machine-learning-engineer-step-by-step--guk7aumsv","name":"How to Become a Machine Learning Engineer (Step-by-Step)"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/how-to-build-an-ai-budget-planning-optimizer-for-your-2026-capex-review-langgraph-fastapi-and-n8n-950jrmaje","name":"How to Build an AI Budget-Planning Optimizer for Your 2026 CAPEX Review: LangGraph, FastAPI, and n8n"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/from-python-to-javascript-a-playbook-for-data-analytics-in-n8n-with-code-node-examples-rbgqeyjap","name":"From Python to JavaScript: A Playbook for Data Analytics in n8n with Code Node Examples"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/how-to-build-effective-agentic-systems-with-langgraph-f9gsgsdr8","name":"How to Build Effective Agentic Systems with LangGraph"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/building-research-agents-for-tech-insights-qhe1koufz","name":"Building Research Agents for Tech Insights"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Sources","item":"https://daily.dev/sources"},{"@type":"ListItem","position":3,"name":"Towards Data Science","item":"https://daily.dev/sources/tds"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/sources/tds/best-of"},{"@type":"ListItem","position":5,"name":"September 2025"}]}]} ```