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104 articles
Learn how to work with pre-trained AI models using Python and the Hugging Face Transformers library. This beginner-friendly tutorial teaches you to load models, make predictions, and understand basic AI workflows.
Learn to set up and use OpenAI's API with Python to create simple AI-powered applications. This beginner-friendly tutorial teaches you how to interact with AI models using code.
Build a Python-based AI agent that can analyze code repositories, identify issues, and suggest improvements - similar to the advanced AI coding tools powering Cursor's new capabilities.
Learn how to analyze microbial genome data using Python to identify potential novel small molecules - a technique similar to what companies like Generare are using to decode the 97% of microbial chemistry that's still unknown to science.
Learn to build a web scraper that monitors Amazon's Spring Sale laptop deals, extracts key product information, and analyzes price data to identify the best deals across major brands.
Learn how to install and use the LiteLLM open-source project to manage API calls to various AI providers, following security best practices after recent cyberattacks on AI companies.
Learn how to build a Python web scraper that monitors Amazon product prices, helping you track deals and purchases like those mentioned in recent ZDNet articles about Amazon's Spring Sale.
Analyze Apple's 50-year journey from tech startup to luxury brand using Python data visualization techniques and stock market analysis.
Learn how to analyze company financial performance and valuation trends using Python and financial data APIs, with practical examples that apply to companies like Allbirds.
Learn how to set up a Python-based research environment for deep technology projects using data analysis and machine learning techniques commonly used in materials science and life sciences research.
Learn to build a web scraper that monitors Amazon phone deals during major sales events, tracking prices from Apple, Samsung, and Motorola to find the best discounts.
Learn to build a disaster response AI system that processes real-time data, analyzes risks, and provides actionable insights to relief teams using Python, machine learning, and cloud APIs.