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Computing in Python I: Fundamentals and Procedural Programming
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Hands-on exploration of SQLAlchemy's key components, including SQL generation, ORM, and transactions. Ideal for beginners and those looking to fill knowledge gaps.
Explore gevent for scalable asynchronous I/O using coroutines, avoiding callback complexity. Learn implementation, benefits, and comparisons to other async libraries.
Discover how a company migrated 800+ PHP and Python projects from Apache to uWSGI, simplifying development, improving memory management, and streamlining administration.
Introduction to big data processing using Apache Hadoop and Python. Explores Hadoop concepts, infrastructure, Python implementations, and available libraries for efficient big data handling and job acceleration.
Inspiring keynote exploring the power of community in overcoming tech challenges. Follows a young girl's journey, emphasizing curiosity, courage, and collaboration in achieving goals.
Learn to implement distributed locks using Python and Redis for concurrent programming in distributed systems, with insights from building a modern contact center.
Explore systematic logging in Python: implementation, setup, endpoints, data protection, performance, and best practices for structured and efficient logging in production systems.
Satellite image processing with Python to detect ground activities and create maps for efficient UXO removal in minefields, using numpy, scipy, gdal, and IPython Notebook.
Explore the benefits of Python type hints for improved code readability, documentation, and tool support. Learn practical examples and best practices for implementing type annotations in your projects.
Explore Python's role in IoT, from powering embedded hardware to building end-to-end products. Learn about the possibilities and practical applications in this emerging field.
Explore advanced Elasticsearch techniques for complex multi-criteria searches, progressing from basic distance queries to production-ready implementations like Airbnb's, using decay functions and custom backends.
Explore the concept of verified fakes in software testing, their benefits, and implementation techniques. Learn how to create reliable test environments and improve code quality.
Explore testing strategies for machine learning algorithms, focusing on code quality, domain-specific challenges, and practical implementation techniques for more robust and reliable ML models.
Explore techniques for achieving near-zero downtime PostgreSQL migrations using Python and PostgreSQL 9.4 features like logical replication, suitable for large-scale databases with millions of records.
Unravel the magic behind Python decorators, exploring scopes, namespaces, and closures. Learn to craft your own decorators and understand the '@' symbol's inner workings in this intermediate-level talk.
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