The Joy of Creating Art with Code
Explore the fusion of art and code through generative algorithms, creating autonomous aesthetic forms using Processing and PyCairo. Learn about randomness, shapes, and advanced techniques like fractals and genetic algorithms.
The Limitations and Danger of Facial Recognition
Explores ethical concerns, biases, and societal impacts of facial recognition technology, emphasizing the need for responsible development and deployment in various applications.
Big O No - Django ORM Runtime Complexity and How to Avoid It Using LATERAL JOINS
Optimize Django ORM queries using SQL aggregations and LATERAL JOINs to solve N+1 query problems and improve performance in complex data retrieval scenarios, especially for GraphQL and REST APIs.
How to Build an Intelligent Indoor Garden
Learn to create an automated indoor garden system using sensors, microcontrollers, and CircuitPython. Explore web app development, Raspberry Pi setup, and IoT data analysis for plant care automation.
Practical Privacy-Preserving Machine Learning in Python
Explore privacy-preserving machine learning techniques in Python, including federated learning and encrypted data algorithms, to build accurate models while protecting user privacy.
How Multilingual Is Your NLP Model?
Explore multilingual NLP challenges, language identification techniques, and BERT's capabilities for handling diverse linguistic data in the evolving landscape of global communication.
Docker and Python - Making Them Play Nicely and Securely for Data Science and ML
Docker best practices for data science and machine learning: optimizing image builds, ensuring security, and implementing efficient deployment workflows for data-intensive applications.
From Project to Productionized on Heroku
Learn to deploy Django apps on Heroku: from development to production. Covers 12 Factor apps, configuration, collaboration, debugging, and essential Heroku tools for a smooth deployment process.
Python Concurrency - From Beginner to Pro
Comprehensive guide to Python concurrency, covering processes, threads, modules, race conditions, and the GIL. Includes coding examples and activities to build a multithreaded and multiprocessing web server.
Type Hints - Putting More Buzz in Your Fizz
Explore type hints in Python, from basics to complex structures. Learn debugging techniques, class definitions, and library stubs. Enhance code quality and confidence through practical examples.
Decoding Bias and Narrative in Competitive Video Games
Explore video analysis of Overwatch eSports broadcasts to uncover biases and narratives in competitive gaming, examining player focus and storytelling techniques.
Charla: Eric Nahuel Horvat - Integraciones con Asyncio
Aprende a integrar múltiples lenguajes en un software principal utilizando Python 3 y asyncio. Descubre cómo simplificar el asincronismo y las integraciones en tus proyectos de desarrollo.
Extending the Python Ecosystem to Xilinx
Explore PYNQ: Python-based platform integrating microprocessors, microcontrollers, and FPGAs. Learn to leverage programmable system-on-chips for embedded development using familiar Python ecosystem and Jupyter notebooks.
Bridging Data Science and Data Infrastructure with Apache Airflow
Explore how Apache Airflow bridges data science and infrastructure, enabling collaboration between teams and facilitating the development of flexible, observable, and resilient data pipelines.
Finite State Machine in Django
Explore Finite State Machines in Django for automating business processes, including workflow creation, audit logging, and visualization generation.
Deploying Python at Scale with Dask
Explore scaling Python with Dask on distributed systems, focusing on deployment challenges and solutions for cluster resource managers like Kubernetes, Yarn, and cloud platforms.
Sorry, Could You Repeat That Again? - Speech Recognition with Python
Explore speech recognition systems and develop an isolated word recognition system in Python, with insights into real-world applications and advanced techniques.
GPU-Accelerated Data Analytics in Python
Explore GPU-accelerated data analytics using RAPIDS libraries in Python. Learn ETL, machine learning, graph analytics, and more with familiar APIs for faster computation and model iteration.
Why Is Python Slow?
Explore Python's performance, comparing it to other languages, and learn optimization techniques and future improvements for faster execution.
Getting Started with Automatic Differentiation
Explore automatic differentiation in Python, its applications in optimization and computational art, using libraries like JAX, TensorFlow, and PyTorch. Gain intuition for derivatives and gradients.
Nonsense Verse with Python and Machine Learning
Explore phonetic analysis and word generation using Python and machine learning. Learn to create nonsense verse and analyze word sounds with the Pincelate library.