
Aprenda dicas essenciais para projetos de ciência de dados, desde definição de requisitos até apresentação de resultados, com foco em reprodutibilidade, documentação e ferramentas Python úteis.

Explore property-based testing with Hypothesis in Python, comparing it to traditional approaches and learning when to apply this powerful technique for more robust software testing.

Explore the intricate process of Python module imports, including file discovery, loading mechanisms, and customization options. Gain insights into finders, loaders, and the inner workings of this fundamental feature.

Explore techniques for testing and managing race conditions in concurrent programming, focusing on Python tools and strategies to identify, reproduce, and resolve these challenging scenarios.

Learn to create and manage Software Bill of Materials (SBOMs) using Python, enhancing software security and compliance tracking in complex development environments.

Learn to create a Slackbot using Bolt for Python to automate tasks like emoji reactions, calculations, issue tracking, and account management. Explore practical examples and API integrations.

Explore the development of a Python client for HTTP/3 proxies using MASQUE protocol, covering proxy design, HTTP versions, and asyncio implementation challenges.

Explore common Python vulnerabilities in Kubernetes deployments, their potential impacts, and effective mitigation strategies using tools like Falco, TUF, Open Policy Agent, and Bandit.

Explore a Python-based pipeline for analyzing weak gravitational lensing, aiding cosmologists in understanding dark matter and dark energy through precise galaxy shape measurements.

Learn efficient data validation and setting management using Pydantic. Explore models, validators, and converters with real-life examples to enhance code readability and prevent processing errors.

Explore Python memory management, common errors, and optimization techniques. Learn about CPython's allocation, garbage collection, and practical ways to improve code efficiency.

Strategies and tools for creating semantically interoperable REST APIs, including contract-first development, RDF processing, and centralized catalogs. Ideal for those with API design experience.

Explore asynchronous programming in Django, covering key concepts, tools, efficient practices, and Django's async request handling from NGINX to database operations.

Discover recent performance improvements in scikit-learn, exploring computational patterns, new routine implementations, and future hardware-specialized developments for enhanced machine learning efficiency.

Explore powerful debugging techniques for asynchronous Python programs, including asyncio debug mode, tracebacks for unhandled exceptions, and monitoring tools for enhanced development efficiency.

Insights and lessons from a developer's journey in creating a Python library, covering decision-making processes, common pitfalls, and valuable experiences for aspiring library creators.

Explore model explainability using SHAP algorithm in Python, focusing on building trustworthy AI models and integrating domain expertise for practical industry applications.

Learn to build real-time computer vision applications for browsers using Streamlit and streamlit-webrtc, with demos of object detection, speech-to-text, and style transfer.

Explore the integration of Python in non-computing fields, its impact on student understanding, and the potential to revolutionize education across disciplines. Gain insights from case studies and recommendations for implementation.

Explore how young people use Python to analyze real-world issues like climate change and population growth, showcasing the impact of early programming education on problem-solving skills.

Explore PyArrow's transformative impact on data analytics, covering its in-memory format, disk format, network protocol, dataframe library, and query engine integration with NumPy and Pandas.