All current Conference Talks courses in 2024
731 Courses
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.
Cubes Light Weight OLAP FW Server
Explore lightweight OLAP framework server for efficient data analysis and reporting, focusing on Cubes implementation and benefits.
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.
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.
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.
Minds, Machines and Python
Explore AI through logic and language using simple Python programs, focusing on loops, self-reference, and tangled hierarchies as key concepts in understanding intelligence and learning.
Analyzing Data with Python & Docker
Explore powerful data analysis workflows by combining Python and Docker. Learn to create robust, repeatable systems for small and large-scale data processing using containerization techniques.
How to Conquer the World
Learn to develop a genetic algorithm in Python to master the board game Risk, exploring object-oriented design and AI strategies for game simulation and optimization.