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Graph Databases - A Little Connected Tour
Explore graph databases, their advantages in handling connected data, and learn about Neo4J and its Cypher query language for efficient data modeling and querying in Python.
One Year of Snowden, What's Next?
Exploring the impact of Snowden's revelations on global surveillance, data privacy, and societal implications. Discusses potential defenses against large-scale intelligence gathering operations.
Python and PostgreSQL for Huge Data Warehouses
Explore techniques for managing massive data warehouses using Python and PostgreSQL, covering connection pooling, data replication, optimization, and efficient querying strategies.
VPython Goes to School
Explore VPython's potential in high school education, linking programming concepts with math, physics, and chemistry through interactive 3D visualizations and simulations.
Slicing and Dicing with Cubes - Light-weight OLAP Framework and Server
Explore lightweight OLAP framework for efficient data analysis, slicing, and dicing using Cubes. Learn server implementation and advanced techniques for multidimensional data processing.
Cubes Light Weight OLAP FW Server
Explore lightweight OLAP framework server for efficient data analysis and reporting, focusing on Cubes implementation and benefits.
How to Make Intelligent Web-Apps
Explore techniques for creating smart, responsive web applications that enhance user experience and streamline functionality.
Big A Little I - Practical Artificial Intelligence in Python
Explore practical AI implementation in Python, focusing on real-world applications and techniques for developing intelligent systems.
Reproducible Molecular Simulations with Python
Explore molecular dynamics simulations using Python's scientific ecosystem, focusing on OpenMM and its tools. Learn how AI and machine learning are revolutionizing this field.
How to Make Intelligent Web-Apps
Explore techniques for creating smart, responsive web applications that enhance user experience and streamline functionality.
Testing Machine Learning Models
Explore techniques for testing ML/AI models beyond metrics, focusing on behaviors, usability, and fairness. Learn to identify risks, biases, and apply user-centric testing strategies.
Assessing and Mitigating Unfairness in AI Systems
Learn to assess and mitigate fairness issues in AI systems, focusing on healthcare disparities. Hands-on practice with Fairlearn library to evaluate and improve ML model performance across racial groups.