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🚀 GitHub's Most Sought-After Repos
🐾cartopy - Cartopy simplifies map drawing in Python, offering easy projection definitions, point transformations, and integration with Matplotlib for advanced mapping.
🐾 Meet the NiceGUI: Your Soon-to-be Favorite Python UI Library. NiceGUI is a Python UI framework for web and desktop apps, offering a simple interface for small projects, dashboards, and robotics. It simplifies state management and interaction, boasting features like easy layout, visualization tools, and integration with popular libraries.
Introducing Job Queueing for Notebook in Microsoft Fabric: Microsoft Fabric introduces Job Queueing for Notebook Jobs to streamline data engineering and data science processes. This feature automatically queues notebook jobs when Fabric capacity is maxed out, eliminating manual retries and improving user experience. Jobs are retried when resources become available, enhancing efficiency for enterprise users.
AWS BI
📊 Get to know BigQuery data canvas: BigQuery Data Canvas simplifies the data-to-insights journey by offering a natural language-driven experience. It centralizes data tasks, accelerates analysis, and fosters collaboration, all within a unified workspace, enabling faster and more efficient data analytics.
📊 Tableau vs Power BI: A Comparison of AI-Powered Analytics Tools. The comparison delves into the unique strengths of Tableau and Power BI, showcasing how each excels in different areas of data visualization and analytics. It outlines Tableau's robust visualizations and analytics capabilities, especially for large datasets, contrasting with Power BI's integration with Microsoft services and affordability for small to medium-sized businesses.
Identifying Customer Buying Pattern in Power BI - Part 1: This article is part 1 of a retail analytics analysis in Power BI, focusing on customer purchasing frequency for various products over the years. It includes identifying data elements, creating calculated columns, and analyzing trends to aid in business decision-making.
🧠 Feature Engineering with Microsoft Fabric and Dataflow Gen2:This article introduces Dataflow Gen2 as a low-code data transformation and integration engine for creating data pipelines in Microsoft Fabric. It focuses on using Dataflow Gen2 to create features needed for training a machine learning model with college basketball game data, offering different approaches from no code to all code.