
Explore Python's growing role in High Energy Physics, from its adoption and key libraries to its impact on data analysis and machine learning in particle physics research.

Interactive Python tools for image processing, combining Dash for web apps and scikit-image for advanced algorithms. Explore, annotate, and analyze scientific and business images efficiently.

Explore data regression testing with pytest-regressions to enhance test completeness for complex data structures, simplifying testing of datasets, objects, and APIs.

Explore techniques to replace complex conditional logic with simple Python classes, improving code readability and maintainability through object-oriented principles and polymorphism.

Learn to create an automated indoor garden system using sensors, microcontrollers, and CircuitPython. Explore web app development, Raspberry Pi setup, and IoT data analysis for plant care automation.

Explore privacy-preserving machine learning techniques in Python, including federated learning and encrypted data algorithms, to build accurate models while protecting user privacy.

Explore pytest parametrization techniques to enhance testing efficiency, covering multiple test cases with a single function and simplifying test maintenance.

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.

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.

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.

Analyze US higher education institutions using GeoPandas, exploring education deserts and equity implications through hands-on data analysis with NCES and IPEDS datasets.

Explorando retos y oportunidades de la ciencia de datos en Latinoamérica: historias reales, obstáculos comunes y visión de futuro para científicos de datos y empresas en la región.

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.

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 polyglot data handling with Python using Pandas and Apache Arrow for efficient data exchange between ecosystems, improving performance and reducing file sizes.

Explore Finite State Machines in Django for automating business processes, including workflow creation, audit logging, and visualization generation.

Explore scaling Python with Dask on distributed systems, focusing on deployment challenges and solutions for cluster resource managers like Kubernetes, Yarn, and cloud platforms.

Explore Python decorators: enhance code functionality, improve efficiency, and add capabilities with ease. Learn to create and apply decorators for more powerful and flexible programming.

Explore probability distributions using Python, demystifying key concepts like sampling, joint, conditional, and marginal distributions for a solid foundation in Bayesian statistics.

Explore speech recognition systems and develop an isolated word recognition system in Python, with insights into real-world applications and advanced techniques.

Explore GPU-accelerated data analytics using RAPIDS libraries in Python. Learn ETL, machine learning, graph analytics, and more with familiar APIs for faster computation and model iteration.