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Introducción a la genética y la evolución
Introduction to Genetics and Evolution
Machine Learning Foundations: A Case Study Approach
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Aprenda a extender y embeber Ansible con Python, explorando la API, creación de módulos, scripts de inventario dinámico y plugins para mejorar la automatización y gestión de configuraciones.
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.
Explore PyPy's role in enhancing Python's ecosystem, addressing competition from newer languages, and discussing strategies to maintain Python's versatility while improving performance.
Insights on testing and TDD from Sardinia Radio Telescope development. Explores functional, integration, and unit tests, best practices, and lessons learned for robust software production.
Introduction to Frontera, an open-source framework for building large-scale web crawlers. Learn about its features, architecture, and how to create distributed crawlers using Scrapy, Kafka, and HBase.
Discover how to effectively use TDD to drive development, transform requirements into tests, and create efficient, readable code. Learn techniques for better refactoring and test effectiveness.
Explore Python game development libraries, frameworks, and industry usage. Learn about Kobra, an open-source framework with ECS architecture and C++ bindings for modern game creation.
Explore RNA interference mechanisms and off-target prediction with a PyQt-based software tool for efficient gene silencing and targeted inhibition of gene expression.
Explore concurrent programming in Python, from asyncore to asyncio, and discover a unique experiment porting Go's concurrency model. Learn about various solutions and their implementations.
Learn to create robust command-line programs in Python, covering structure, libraries, and best practices for input/output, configuration, and user interfaces. Enhance your skills in developing efficient CLI tools.
Learn to apply Test Driven Development principles to infrastructure services, mitigating risks in DevOps environments and improving quality through automated testing of critical systems.
Explore a distributed service-oriented platform for visual effects, covering setup, concurrency, componentization, and monitoring. Learn to build scalable systems for global collaboration.
Exploring gender transition in the Python community: personal experiences, challenges, and insights on diversity, privilege, and acceptance from a unique perspective.
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.
Explore PyPy's latest developments, including JIT compiler, garbage collection, NumPy, Python 3 compatibility, CFFI, and STM research, showcasing its continued evolution and performance improvements.
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