Derivatives Analytics with Python & Numpy
Explore financial derivatives analytics using Python and NumPy, focusing on efficient implementation and practical applications in quantitative finance.
Cubes Light Weight OLAP FW Server
Explore lightweight OLAP framework server for efficient data analysis and reporting, focusing on Cubes implementation and benefits.
Python for Finance Part 2
Explore advanced Python applications in financial analysis, modeling, and algorithmic trading strategies for enhanced investment decision-making.
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.
Learning Chess from Data
Discover chess rules and gain insights through Machine Learning and Hadoop analysis of game data. Explore feature importance, representation, and sample size for understanding complex systems.
Brain Waves for Hackers
Explore brain wave analysis using Python and the Neurosky Mindwave headset. Learn EEG basics, neurofeedback applications, and how to start experimenting with consumer-grade EEG devices for mental training and potential therapeutic uses.
Python Driven Company
Discover how Python can revolutionize company-wide data analysis, replacing traditional tools like Excel. Learn strategies for teaching non-programmers to leverage Python's power in their daily work.
Python's Role in Big Data Analytics - Past, Present, and Future
Explore Python's evolution in big data analytics, from its scientific computing roots to its current role in unifying HPC and big data applications, with insights on future developments.
Metaprogramming - From Decorators to Macros
Explore metaprogramming techniques in Python, from decorators and metaclasses to macros, with practical examples and insights into their applications and benefits.
Ganga - An Interface to the LHC Computing Grid
Explore Ganga, a Python-based interface for CERN physicists to manage and distribute data analysis tasks across global computing resources, from local machines to worldwide centers.
Out-of-Core Columnar Datasets
Explore tabular data implementations in Python, comparing on-disk and in-memory solutions. Learn about performance impacts of row-wise vs column-wise storage, chunking, and compression for big data analysis.
PySpark and Warcraft Data
Explore PySpark's capabilities for analyzing World of Warcraft auction data, comparing performance with other tools and demonstrating its application in processing large datasets efficiently.
Everyone Can Do Data Science in Python
Learn essential data science techniques using Python, numpy, pandas, and sklearn. Explore real-world use cases with code snippets and live demos in IPython notebooks.
Beyond the Basics with Elasticsearch
Explore advanced Elasticsearch scenarios: trend detection using aggregation framework, percolator for reversed search, and geo-enabled search with relevancy for non-trivial data analysis.
Data Analysis and Map-Reduce with MongoDB and PyMongo
Explore data analysis techniques using MongoDB's aggregation framework and pymongo. Learn to perform complex operations like grouping, reshaping, and map-reduce with practical examples and best practices.
Yak Shaving a Good Place to Eat Using Non Negative Matrix Factorization
Explore data handling techniques to analyze restaurant reviews, group users with similar tastes, and find personalized dining recommendations using non-negative matrix factorization.
CityBikes - Bike Sharing Networks Around the World
Explore the evolution of CityBikes, an open API providing global bike-sharing data. Learn about its growth, challenges, and impact on urban mobility using Python and community contributions.
Hyperconvergence Meets BigData
Explore deploying Wendelin, a Big Data & Machine Learning platform, using SlapOS, a hyperconverged OS. Learn to create and manage a complete Big Data infrastructure with Python-based tools.
LIGO - The Dawn of Gravitational Wave Astronomy
Explore the groundbreaking discovery of gravitational waves by LIGO, its significance in astronomy, and the crucial role Python played in this scientific milestone.
Unveiling the Universe with Python
Explore how Python and Monte Carlo simulations unveil the mysteries of the Universe, from analyzing cosmic microwave background data to revealing the surprising dominance of dark matter and energy.
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.