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Explora la importancia de la documentación en proyectos Python, tipos de documentación y herramientas para crearla y mantenerla eficazmente, mejorando la adopción y usabilidad del software.
Detección automatizada de malware en PyPI: vectores de ataque, sistema de detección integrado, tipos de chequeos implementados y cómo combatir amenazas en el repositorio.
Discover powerful debugging techniques beyond print statements. Learn to use command-line and graphical debuggers to examine program state, modify variables, and efficiently troubleshoot complex code situations.
Learn to deploy a Django project on serverless infrastructure using Google Cloud Platform. Covers manual deployment, database setup, media storage, secrets management, and automation techniques.
Learn advanced data visualization techniques using Python libraries to effectively communicate complex data across various fields, from choosing plots to aesthetic decisions.
Learn to build a GitHub bot that greets contributors, using Python libraries like gidgethub and asyncio. Create an app that thanks maintainers and first-time contributors, enhancing project engagement.
Comprehensive introduction to NLP in Python, covering traditional approaches, advanced concepts, and state-of-the-art language models. Includes practical applications and performance-boosting techniques.
Learn to develop machine learning models on encrypted data using CrypTen, a PyTorch-based framework for secure computing. Explore feature aggregation, data labeling, dataset augmentation, and model hiding techniques.
Learn to process data efficiently using Azure Functions and Python, exploring serverless computing, best practices, and practical use cases for scalable cloud applications.
Optimize Python & Django apps using Postgres techniques: analyze queries, eliminate loops, improve pagination, and scale horizontally with Hyperscale (Citus) on Azure for better performance.
Explore SQLAlchemy and Alembic for efficient database management in Python, covering ORMs, migrations, connection pools, and performance optimization techniques.
Learn Python web scraping techniques to automatically collect data from websites, covering HTML basics to advanced pipeline methods for dataset compilation.
Learn essential tools and practices for Python development, including project setup, virtual environments, code formatting, testing, and documentation using VS Code, Docker, and popular libraries.
Explore integrating Raspberry Pi and Python in a 5th-grade science project, measuring marble speeds on different tracks. Learn practical tips, setup guidance, and data collection techniques.
Aprenda técnicas de deduplicação de registros em Python para identificar duplicatas em conjuntos de dados sem identificadores únicos, aplicável em governos e empresas.
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