Scrivere un tool parallelo e distribuito per backup multi-terabyte
Sviluppo di uno strumento parallelo e distribuito per gestire backup di dati su larga scala, ottimizzando le prestazioni e l'affidabilità in ambienti multi-terabyte.
Snakes on a Cloud - The OpenStack Project
Explore OpenStack, an open-source cloud computing platform. Learn about its architecture, components, and how it's revolutionizing cloud infrastructure deployment and management.
Spotify and Python - Love at First Sight
Discover how Spotify leverages Python for its architecture, services, and tools. Explore the company's tech stack, deployment strategies, and future challenges in music streaming.
Sfrutta la potenza della GPU con PyCUDA (e compagni)
Scopri come sfruttare la potenza delle GPU per l'elaborazione parallela utilizzando PyCUDA e altre librerie Python, accelerando significativamente le prestazioni computazionali.
SQLKit - Empowering Database Access
Explore SQLKit: a powerful tool for simplified database access, featuring forms, relationships, filters, and Django-like syntax for efficient data management.
Using Storm to Work with SQL Databases
Learn to efficiently interact with SQL databases using Storm, an object-relational mapper for Python that simplifies database operations and enhances performance.
django-rdflib e postgresql - il meglio dei due mondi
Esplora l'integrazione di django-rdflib con PostgreSQL per sfruttare al meglio le potenzialità di entrambe le tecnologie nel web semantico e nella gestione dei dati.
Django-RDFLib and PostgreSQL - The Best of Both Worlds
Explore integrating django-rdflib with PostgreSQL for efficient data management, custom operations, and advanced search capabilities in web applications.
Emulating Stackless and Greenlet with Each Other
Explore techniques for emulating Stackless Python and greenlet, comparing their implementations and performance characteristics for concurrent programming.
Ubuntu and the Opportunistic Programming
Explore opportunistic programming in Ubuntu, focusing on rapid development techniques and tools for efficient software creation in the Linux environment.
Advanced Aspects of the Django Ecosystem - Haystack, Celery & Fabric
Explore advanced Django tools: Haystack for search, Celery for task queues, and Fabric for deployment automation. Enhance your web development skills with practical insights and techniques.
Best Practices for Python in the Cloud
Discover optimal strategies for deploying Python applications in cloud environments, enhancing scalability, performance, and cost-effectiveness.
Python's Other Collection Types and Algorithms
Explore Python's lesser-known collection types and algorithms, enhancing your coding toolkit with advanced data structures and efficient problem-solving techniques.
Remote Execution of Python Scripts Using Viri
Learn to execute Python scripts remotely using Viri. Explore features, real-world examples, security measures, and integration possibilities for efficient remote script management.
Ubuntu e la programmazione occasionale
Esplora Ubuntu come piattaforma per programmatori occasionali, evidenziando strumenti e risorse per sviluppatori part-time o hobbisti.
Years of Bad Ideas
Explore unconventional Python techniques, from spiking to interpreter warfare, in this talk on experimental programming ideas and their potential pitfalls.
Advanced Python
Explore advanced Python concepts including super(), programming techniques, random number generation, and Bloom filters for efficient data handling.
Challenges in Developing a Large Django Site
Explore challenges and solutions for large-scale Django development, covering authentication, caching, deployment, and best practices for efficient and maintainable web applications.
Debugging and Profiling Techniques
Learn essential debugging and profiling techniques to optimize Python code performance, identify bottlenecks, and resolve complex issues efficiently.
Exploring CPython's Bytecode
Dive into CPython's bytecode, exploring its structure, execution, and optimization. Learn to compile, disassemble, and manipulate code objects for deeper Python understanding.
High-Performance Computing on Gamer PCs
Explore high-performance computing techniques using consumer-grade hardware, optimizing algorithms for gaming PCs to achieve powerful computational results.