
Explore interactive C++ using Jupyter and Cling. Learn prototyping techniques, interface guidance, and powerful combinations for data science and exploratory programming.

Exploring the potential of archival finding aids as open datasets to uncover new insights and data-driven stories from historical records, inspiring fresh perspectives on the past.

Explore building a customizable ML experiment tracking system using DVC for versioning and Streamlit for data exploration, focusing on practical implementation with Python APIs.

Explore Polars, a fast data manipulation library, through hands-on exercises with real-world datasets. Learn key operations, compare with Pandas, and optimize data pipelines.

Hands-on tutorial for Python users to master SQLite, covering advanced SQL features, data manipulation with sqlite-utils, and exploration using Datasette. Learn to build and deploy data applications.

Explore PowerPivot for Excel to combine diverse data sources, create analytics, and overcome Excel limitations. Learn to import, pivot, and visualize data for self-service business intelligence.

Comprehensive Python data modeling tutorial covering extraction, cleaning, transformation, visualization, predictive modeling, validation, and deployment using popular libraries and Azure integration.

Explore fine-tuned data access with Row Level Security in SQL Server, covering implementation patterns, scaling solutions, and practical tips for sensitive information management.

Explore machine learning with Spark and Scala, comparing frameworks, discussing advantages, and addressing challenges in data science. Gain insights into Spark.ml's capabilities and potential for predictive modeling.

Explore key features of Elastic 5.x suite for data analytics, including geo-capabilities, pipeline aggregations, and Timelion, with real-world cases and Kibana visualization demonstrations.

Discover tips and tricks for effective PowerBI usage, applying software development practices to create powerful, user-friendly dashboards and reports for business users.

Explore Fluid, a transparent programming language with bidirectional dynamic dependency analysis, enabling interactive exploration of data relationships in research outputs.

Explore advanced visualization techniques for complex datasets, focusing on interactive methods and best practices for large-scale data representation in SRE contexts.

Explore WisePizza, an open-source library for automated discovery of intriguing data segments. Gain deeper insights, uncover patterns, and revolutionize your data analysis approach.

Explore open data's potential for entertainment and curiosity with insights from Dave Rowe.

Explore Duet AI's features for boosting cloud productivity, including code assistance, AI-backed operations, data exploration, and no-code app building.

Explore data storytelling techniques using Oracle Analytics to create impactful narratives that influence decision-making and drive insights from complex information.

Explore building GenAI data pipelines using PyAirbyte and ELTP framework. Learn efficient data sourcing, prototype-to-production steps, and strategies for managing LLM documents in the GenAI era.

Explore techniques for extracting and analyzing hardware data in embedded systems, focusing on practical methods for debugging and optimizing device performance.

Explore data using EntityValue and EntityStore functions in the Wolfram Data Framework. Learn to access and manipulate your own datasets effectively.

Explore data using Excel: Learn importing, cleaning, basic functions, and statistical analyses for valuable insights from a Mars Petcare Data Engineer.