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.
Log Everything with Logstash and Elasticsearch
Centralized logging for multi-server Python apps using Logstash and Elasticsearch. Learn structured logging patterns, GELF transport, and Kibana for analysis and visualization.
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.
Python and Elasticsearch 101
Explore Python integration with Elasticsearch for versatile data storage and retrieval, from IoT device metrics to business events, with insights on schema, querying, and administration.
From Basic Distance Search to a Complex Multi Criteria Search
Explore advanced Elasticsearch techniques for complex multi-criteria searches, progressing from basic distance queries to production-ready implementations like Airbnb's, using decay functions and custom backends.
Big Data with Python and Hadoop
Introduction to big data processing using Apache Hadoop and Python. Explores Hadoop concepts, infrastructure, Python implementations, and available libraries for efficient big data handling and job acceleration.
PySpark - Data Processing in Python on Top of Apache Spark
Learn PySpark for large-scale data processing with Python on Apache Spark. Covers RDDs, DataFrame API, transformations, actions, and data sources. Ideal for those seeking efficient big data analysis techniques.
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.
Web Scraping Best Practices
Explore advanced web scraping techniques in Python, covering automated extraction, rendering pages, proxy management, and scalable crawl architecture for challenging real-world projects.
Dive into Scrapy
Explore advanced Scrapy techniques for web scraping, including project structure, interactive shell, item handling, and deployment strategies. Learn to avoid bans and optimize data extraction.
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.
Building a Multi-Purpose Platform for Bulk Data Using SQLAlchemy
Learn to build a scalable platform for processing bulk data across multiple business domains using SQLAlchemy, with insights on optimizing performance and maintaining flexibility.
Using Scikit-Learn's Interface for Turning Spaghetti Data Science into Maintainable Software
Learn to structure data science code using Scikit-Learn's estimator and meta-estimator interfaces. Discover how to transform spaghetti code into maintainable, testable, and reusable machine learning models.
New Trends in Storing Large Data Silos with Python
Explore emerging technologies for handling Big Data in Python, focusing on efficient storage solutions and leveraging modern architectures, with insights on future trends and practical examples.
Getting More Out of Matplotlib with GR
Enhancing Matplotlib performance with GR framework for high-speed data visualization, real-time applications, and improved 3D rendering. Explore interoperability with GUI toolkits and OpenGL.
Speeding Up Search With Locality Sensitive Hashing
Explore locality sensitive hashing for faster search and similarity comparisons, with practical Python implementations and real-world applications in image search and collaborative filtering.
Distributed Workflows with Flowy
Explore distributed, asynchronous workflows with Flowy, a library for orchestrating complex processes across multiple machines. Learn execution models, topologies, and scaling techniques.
Multibody Simulation Using Sympy, Scipy and Vpython
Explore multibody simulation using Python packages sympy, scipy, and vpython for engineering and educational purposes. Learn to formulate mechanical problems and integrate equations.