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How Things Work: An Introduction to Physics
End of Life Care: Challenges and Innovation
Understanding Medical Research: Your Facebook Friend is Wrong
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Explore key design considerations for distributed task processing systems, focusing on evaluation, development, and deployment strategies using Celery as a robust framework.
Practical tools for scientists to improve software development skills: leveraging domain expertise, modularizing projects, and accelerating learning through collaboration.
Learn to create robust REST APIs using Django, Django REST Framework, and Django OAuth Toolkit for secure, efficient backend communication with mobile apps.
Explore the future of Test Driven Development and related technologies in software engineering, examining their potential impact on job prospects and industry adoption by 2024.
Exploring the impact of Snowden's revelations on global surveillance, data privacy, and societal implications. Discusses potential defenses against large-scale intelligence gathering operations.
Learn probabilistic programming in Python using PyMC3 for flexible statistical modeling, automated parameter estimation, and uncertainty quantification in data science and scientific research.
Explore advanced database programming with Python, covering locks, distributed transactions, and transaction isolation for robust production environments.
Discover pytest's pythonic approach to testing, featuring assert statements and fixtures for managing dependencies. Learn setup, key features, and migration tips for both new and existing projects.
Explore Vumi, an open-source text messaging system designed to reach people in poverty via mobile phones. Learn about its features, challenges, and impact on various social initiatives.
Explore scientific visualization with GR framework, covering 2D graphs to 3D scenes. Learn integration techniques, performance optimization, and real-world applications in this comprehensive overview.
Explore Pythonista, a full-featured Python environment for iOS. Learn to develop apps using GPS, image manipulation, gyroscope, and Dropbox integration on your iPad or iPhone.
Explora el uso de asyncio en Python 3.4 para automatización del hogar, abordando dispositivos como Raspberry Pi y sensores, y comparando con soluciones anteriores basadas en Twisted.
Explore metaprogramming techniques in Python, from decorators and metaclasses to macros, with practical examples and insights into their applications and benefits.
Learn to build near-real-time stream processing systems using Python, Storm, and Kafka for handling and computing large volumes of data as it arrives, with a focus on creating efficient pipelines.
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.
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