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Explore Python-based techniques and open-source tools for detecting fraudulent transaction chains and providing insights to combat money laundering in financial investigations.
Explore Python 3.11's asyncio.TaskGroup() for improved exception and cancellation handling in asynchronous programming, addressing limitations of existing asyncio APIs.
Explore dbt integration with Python for modern data infrastructure. Learn best practices, tool integration, and complex data analysis using fal package, with real-world examples.
Explore the powerful combination of HTMX with Django REST Framework's flexible renderer system, unlocking new possibilities for dynamic web applications.
Journalist Andrew Smith shares his journey of learning to code, focusing on Python, and reflects on code's impact on society, offering insights from his upcoming book.
Explore building a music recommendation system using language models, inspired by GPT. Learn about factors influencing recommendations and create a personalized approach to content suggestion.
Explore the integration of Large Language Models in media monitoring, from using OpenAI models to training a custom model. Learn about real-world implementation challenges and insights.
Explore TinyML for deploying machine learning on microcontrollers. Learn about hardware options, frameworks, and real-world applications in agriculture, conservation, health, and ecology monitoring.
Explore the ethical implications and societal impact of generative AI, focusing on responsible use and potential risks as these technologies become increasingly integrated into our daily lives.
Explore OWASP top 10 vulnerabilities in Django apps using Pygoat, an intentionally vulnerable application. Learn to identify, exploit, and mitigate security risks for robust web development.
Explore CPython's performance improvements in Python 3.11 and future releases. Learn about streamlining techniques, speed-up strategies, and potential performance gains in upcoming versions.
Live demonstration of creating and installing malware from PyPI, highlighting security risks in package dependencies and emphasizing the importance of vigilance when using external libraries.
Explore Pydantic's declarative syntax for simplified data validation in Python, ensuring accuracy and consistency in complex data structures while reducing errors and tedium.
Explore microprocessor history, current state, and future prospects with insights on technological advancements, industry trends, and potential innovations in computing architecture.
Explore how Python-based deep learning models are used to detect life-threatening messages in intercepted communications, aiding law enforcement in preventing violent crimes and protecting potential victims.
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