
Hands-on workshop on building distributed serverless Python applications using Google Cloud Platform services. Learn to connect multiple programs through databases, APIs, and event triggers for cloud-native development.

Learn to create robust, repeatable network tests using pyATS, an open-source framework. Explore test case development, job execution, and integration into network automation pipelines for improved reliability.

Explore integrating C++ with Python to create powerful hybrid applications and extend existing C programs with Python scripting capabilities, enhancing performance and functionality.

Explore privacy-preserving techniques for secure data handling and machine learning, including anonymization and pseudonymization methods to protect user information while maintaining data utility.

Aprenda técnicas de deduplicação de registros em Python para identificar duplicatas em conjuntos de dados sem identificadores únicos, aplicável em governos e empresas.

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.

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.

Learn Python web scraping techniques to automatically collect data from websites, covering HTML basics to advanced pipeline methods for dataset compilation.

Explore SQLAlchemy and Alembic for efficient database management in Python, covering ORMs, migrations, connection pools, and performance optimization techniques.

Optimize Python & Django apps using Postgres techniques: analyze queries, eliminate loops, improve pagination, and scale horizontally with Hyperscale (Citus) on Azure for better performance.

Learn to process data efficiently using Azure Functions and Python, exploring serverless computing, best practices, and practical use cases for scalable cloud applications.

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.

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 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.

Learn advanced data visualization techniques using Python libraries to effectively communicate complex data across various fields, from choosing plots to aesthetic decisions.

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.

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.

Detección automatizada de malware en PyPI: vectores de ataque, sistema de detección integrado, tipos de chequeos implementados y cómo combatir amenazas en el repositorio.

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.

Demystifying Unicode: Learn its history, concepts, and practical implementation in Python, including handling text, encodings, and special characters.

Explore Python-based CVE Binary Tool for detecting software vulnerabilities. Learn its functionality, usage, and contribute to enhancing cybersecurity for all.