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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.
Explore privacy-preserving techniques for secure data handling and machine learning, including anonymization and pseudonymization methods to protect user information while maintaining data utility.
Explore integrating C++ with Python to create powerful hybrid applications and extend existing C programs with Python scripting capabilities, enhancing performance and functionality.
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.
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.
Explore Python's optional static typing, its advantages, and tools for implementation. Learn about type hints, gradual typing, and when to use static typing in your Python projects.
Explore Python's hidden runtime events, memory model, and frame objects. Learn to leverage runtime information for powerful debugging, tracing, and development tools.
Explore AsyncIO's application in music production, covering MIDI processing, hardware instrument control, and generative music. Gain practical insights into real-time performance techniques.
Explore generating rhyming and metered poems using Python, combining Markov chains and NLTK for creative text generation with style and structure.
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