
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 how Apache Airflow bridges data science and infrastructure, enabling collaboration between teams and facilitating the development of flexible, observable, and resilient data pipelines.

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.

Explore how Python and open source tools drive Salesforce.org's development, enabling community-built solutions for nonprofits and education. Learn to integrate Python apps with Salesforce's CRM platform.

Explore automatic differentiation in Python, its applications in optimization and computational art, using libraries like JAX, TensorFlow, and PyTorch. Gain intuition for derivatives and gradients.

Insider's look at building Python from source across platforms, focusing on Windows challenges and ActiveState's efforts to contribute to the Python community.

Explore alternatives to mocks in testing, focusing on design patterns and techniques for better code structure, maintainable tests, and a healthy test pyramid.

Learn essential Git concepts and commands for effective collaboration in software development projects, including cloning, inspecting, and comparing repositories.