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Explore Finite State Machines in Django for automating business processes, including workflow creation, audit logging, and visualization generation.
Python Steering Council addresses community questions on governance, priorities, and packaging. Insights into Python's development process and future direction from key decision-makers.
Explore polyglot data handling with Python using Pandas and Apache Arrow for efficient data exchange between ecosystems, improving performance and reducing file sizes.
Explore how Apache Airflow bridges data science and infrastructure, enabling collaboration between teams and facilitating the development of flexible, observable, and resilient data pipelines.
Explore PYNQ: Python-based platform integrating microprocessors, microcontrollers, and FPGAs. Learn to leverage programmable system-on-chips for embedded development using familiar Python ecosystem and Jupyter notebooks.
Explore strategies for effective Python training, including business aspects, teaching setups, conference tutorials, and adapting to online formats. Gain insights from experienced trainers to enhance your skills.
Educators discuss innovative approaches to teaching Python, including critical data science, context-based learning, and principles-driven development, to enhance coding literacy for diverse audiences.
Explorando retos y oportunidades de la ciencia de datos en Latinoamérica: historias reales, obstáculos comunes y visión de futuro para cientÃficos de datos y empresas en la región.
Aprende a integrar múltiples lenguajes en un software principal utilizando Python 3 y asyncio. Descubre cómo simplificar el asincronismo y las integraciones en tus proyectos de desarrollo.
Analyze US higher education institutions using GeoPandas, exploring education deserts and equity implications through hands-on data analysis with NCES and IPEDS datasets.
Explore video analysis of Overwatch eSports broadcasts to uncover biases and narratives in competitive gaming, examining player focus and storytelling techniques.
Explore type hints in Python, from basics to complex structures. Learn debugging techniques, class definitions, and library stubs. Enhance code quality and confidence through practical examples.
Comprehensive guide to Python concurrency, covering processes, threads, modules, race conditions, and the GIL. Includes coding examples and activities to build a multithreaded and multiprocessing web server.
Learn to deploy Django apps on Heroku: from development to production. Covers 12 Factor apps, configuration, collaboration, debugging, and essential Heroku tools for a smooth deployment process.
Explore pytest parametrization techniques to enhance testing efficiency, covering multiple test cases with a single function and simplifying test maintenance.
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