--- title: Best Towards Data Science posts — June 2025 | daily.dev description: The most upvoted Towards Data Science posts from June 2025, curated by the daily.dev community. canonical: https://daily.dev/sources/tds/best-of/2025/06 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/sources/tds/best-of/2025/06 og:type: website og:site_name: daily.dev og:title: Best Towards Data Science posts — June 2025 | daily.dev og:description: The most upvoted Towards Data Science posts from June 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 — June 2025 1. 1 [](https://daily.dev/posts/how-to-design-my-first-ai-agent-zdffwykif "How to Design My First AI Agent") Article Towards Data Science · 1y How to Design My First AI Agent A comprehensive guide to designing AI agents covering model selection, tooling choices, and reliability strategies. Explores different LLM options including OpenAI GPT-4, DeepSeek, Claude, and Mistral, each suited for specific use cases. Discusses infrastructure considerations, frameworks like LangGraph and Pydantic-AI, and security aspects. Emphasizes the importance of structured prompting techniques like Chain-of-Thought and ReAct, output validation, and failure handling to build reliable production-ready agents. 188 2. 2 [](https://daily.dev/posts/building-a-modern-dashboard-with-python-and-taipy-uf7dud4jc "Building A Modern Dashboard with Python and Taipy") Article Towards Data Science · 1y Building A Modern Dashboard with Python and Taipy Taipy is a Python web framework designed for data scientists and engineers to build production-ready dashboards without web development expertise. The tutorial demonstrates creating an interactive sales dashboard with filtering capabilities, key metrics display, multiple chart types, and raw data tables using 100,000 synthetic sales records from a CSV file. Taipy excels over Streamlit and Gradio when building complex, high-performance, enterprise-grade applications that require scalability and maintainability. 86 2 3. 3 [](https://daily.dev/posts/building-a-modern-dashboard-with-python-and-gradio-azzmdgu0j "Building a Modern Dashboard with Python and Gradio") Article Towards Data Science · 1y Building a Modern Dashboard with Python and Gradio A comprehensive guide to building an interactive sales performance dashboard using Gradio, a Python library for creating web applications. The tutorial covers setting up Gradio, processing CSV data with Pandas, implementing filtering capabilities, generating visualizations with Matplotlib, and creating a responsive interface with key metrics, charts, and data tables. The dashboard allows users to filter by date ranges and product categories while displaying revenue trends, top products, and raw data dynamically. 52 3 4. 4 [](https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm "Agentic AI 103: Building Multi-Agent Teams") Article Towards Data Science · 1y Agentic AI 103: Building Multi-Agent Teams Multi-agent AI systems outperform single generalist agents by using specialized agents that focus on specific tasks. The article demonstrates building a team of AI agents using the Agno framework - a Writer agent that researches and creates Instagram captions, and an Illustrator agent that generates image prompts. The Team class coordinates these specialists, with each agent using dedicated tools like DuckDuckGo search. The approach shows how to avoid overwhelming agents with too many tools by creating focused specialists that collaborate through a coordinator. 27 5. 5 [](https://daily.dev/posts/mobile-app-development-with-python-xiyqhcncy "Mobile App Development with Python") Article Towards Data Science · 1y Mobile App Development with Python A comprehensive guide to building cross-platform mobile applications using Python and the Kivy framework. The tutorial covers setting up the development environment, creating user interfaces with KivyMD, implementing database functionality with SQLite, and testing on iOS simulators. The author demonstrates these concepts by building a memorization app with multiple screens for saving, viewing, and playing with word pairs. 23 6. 6 [](https://daily.dev/posts/landing-your-first-machine-learning-job-startup-vs-big-tech-vs-academia-8u5ihgeoi "Landing your First Machine Learning Job: Startup vs Big Tech vs Academia") Article Towards Data Science · 1y Landing your First Machine Learning Job: Startup vs Big Tech vs Academia A comprehensive guide for new machine learning graduates navigating their first job search across three different sectors: startups, big tech companies, and academic research labs. The author shares personal experiences and practical advice on building resumes, creating portfolios, networking strategies, and interview preparation. Key insights include understanding the trade-offs between sectors (startups offer broad experience but instability, big tech provides high compensation and structure but narrow focus, academia offers intellectual freedom but lower pay), the importance of authentic self-presentation over AI-generated applications, and specific preparation strategies for coding, system design, and behavioral interviews. The guide emphasizes that job hunting is a systematic process requiring strong fundamentals, tailored applications, and mental resilience through inevitable rejections. 11 7. 7 [](https://daily.dev/posts/part-2-matrix-matrix-multiplication-cxlzh9kzh "Part 2: Matrix-Matrix Multiplication") Article Towards Data Science · 1y Part 2: Matrix-Matrix Multiplication Matrix-matrix multiplication is explained through visual X-diagrams that show how input values flow through transformations. The article derives the multiplication formula by demonstrating that multiplying matrices A\*B creates a combined transformation equivalent to applying B first, then A. This visualization clearly explains why matrix multiplication is non-commutative (A\*B ≠ B\*A) and shows how special matrices like scale, shift, permutation, and triangular matrices behave when multiplied together, with their properties preserved in the resulting products. 10 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/2025/06#page","url":"https://daily.dev/sources/tds/best-of/2025/06","name":"Best Towards Data Science Posts — June 2025","description":"The most upvoted Towards Data Science posts from June 2025, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/sources/tds/best-of/2025/06#items","numberOfItems":7,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/how-to-design-my-first-ai-agent-zdffwykif","name":"How to Design My First AI Agent"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/building-a-modern-dashboard-with-python-and-taipy-uf7dud4jc","name":"Building A Modern Dashboard with Python and Taipy"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/building-a-modern-dashboard-with-python-and-gradio-azzmdgu0j","name":"Building a Modern Dashboard with Python and Gradio"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/agentic-ai-103-building-multi-agent-teams-7tdl6p2bm","name":"Agentic AI 103: Building Multi-Agent Teams"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/mobile-app-development-with-python-xiyqhcncy","name":"Mobile App Development with Python"},{"@type":"ListItem","position":6,"url":"https://daily.dev/posts/landing-your-first-machine-learning-job-startup-vs-big-tech-vs-academia-8u5ihgeoi","name":"Landing your First Machine Learning Job: Startup vs Big Tech vs Academia"},{"@type":"ListItem","position":7,"url":"https://daily.dev/posts/part-2-matrix-matrix-multiplication-cxlzh9kzh","name":"Part 2: Matrix-Matrix Multiplication"}]},{"@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":"June 2025"}]}]} ```