Enhancing Code Collaboration with Conflict Free Replicated Data Types
Explore conflict-free replicated data types (CRDTs) and their potential to enhance Jupyter notebooks, enabling real-time collaboration, synchronous editing, and improved version control in data science workflows.
Employing NumPy's NPY Format for Faster Than Parquet DataFrame Storage
Explore faster DataFrame storage using NumPy's NPY format, outperforming Parquet in read/write times while supporting all DataFrame characteristics and NumPy dtypes.
Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit
Explore building a customizable ML experiment tracking system using DVC for versioning and Streamlit for data exploration, focusing on practical implementation with Python APIs.
Python for Threat Intelligence
Explore threat intelligence using Python: automate tasks, analyze data, and build tools for security incident prevention. Learn from real-world examples and development practices.
Better Air, Better Health - Creating an Indoor Air Quality Monitoring System
Learn to build an indoor air quality monitoring system using Python, sensors, and machine learning to predict CO2 levels and improve your home environment.
Animating NFL Play by Play Data Using Matplotlib's FuncAnimation
Learn to create engaging data animations using matplotlib's FuncAnimation() with NFL play-by-play RFID data. Discover how animations enhance analysis, convey complex information, and build context in data visualization.
Comparing the Different Ways to Scale Python and Pandas Code
Explore scaling Python and Pandas code with Fugue, a unified interface for distributed computing. Learn to execute functions across Pandas, Spark, and Dask for efficient data workflows.
Leveraging a Custom CPython Data Model for High Performance
Explore high-performance microprocessor design using a custom CPython data model for efficient data analysis, visualization, and problem-solving in integrated circuit development.
The Model Review - Improving Transparency, Reproducibility, and Knowledge Sharing
Explore implementing a Model Review process for ML models using MLflow, enhancing transparency, reproducibility, and knowledge sharing in machine learning development and deployment.
Productionize Research Oriented Code by Python
Discover strategies to transform research-oriented Python code into production-ready applications, focusing on modularization, refactoring, and best practices for robust, maintainable software.
Charlas - Ana Cecília Vieira: Análisis exploratorio de datos abiertos para el fortalecimiento de...
Aprende análisis exploratorio de datos abiertos usando Pandas y Matplotlib en Python. Descubre el nivel de transparencia de datos en América Latina y cómo aplicar la ciencia de datos en la práctica.
Charlas - Kin Gutierrez Olivares/Federico Garza Ramirez: Nixtla: Deep Learning para pronóstico
Introducción a Nixtla, una librería de Python para pronóstico de series temporales con deep learning. Explora modelos avanzados, aplicaciones comerciales y mejores prácticas para entrenamiento y despliegue.
Querido Diario - Cómo Liberar Datos Oficiales de Ciudades Brasileñas con Py
Proyecto para hacer accesibles los Diarios Oficiales de ciudades brasileñas mediante scraping, OCR y una API abierta, facilitando la búsqueda y análisis de datos gubernamentales.
Network Analysis Made Simple
Learn network analysis fundamentals using diverse datasets. Explore construction, summarization, visualization, and problem-solving with complex networks. Gain insights applicable to social media, epidemiology, and more.
Documenting Your Code From Docstrings to Automated Builds
Learn to create effective documentation, from docstrings to automated builds. Explore best practices, tools like Sphinx and JupyterBook, and automate with GitHub Actions for maintainable, user-friendly project documentation.
Knowledge Graph Data Modelling with TerminusDB
Learn knowledge graph data modeling with TerminusDB. Gain skills to construct schemas, store data in graph format, and use WOQL query language. Ideal for data scientists and researchers seeking new data representation insights.
Assessing and Mitigating Unfairness in AI Systems
Learn to assess and mitigate fairness issues in AI systems, focusing on healthcare disparities. Hands-on practice with Fairlearn library to evaluate and improve ML model performance across racial groups.
Charlas - Judite Cypreste: Cómo Python puede ayudar a monitorear gobiernos
Descubre cómo Python se utiliza en Brasil para monitorear al gobierno, promover la transparencia y combatir la desinformación en un contexto de desafíos democráticos.
The Wheelhouse of Horrors
Explore the challenges of building binary wheels for Python extensions, common pitfalls, and solutions. Learn about manylinux standards and the cibuildwheel project for automated wheel distribution.
A Pythonic Full-Text Search
Implement efficient full-text search on Django websites using PostgreSQL, avoiding complexities of external search engines. Learn to enhance content accessibility and improve search functionality.
Skynet 101 - How to Keep Your Machine Learning Code From Getting Away From You
Discover how to apply Test-Driven Development to machine learning projects, from data analysis to building recommendation engines, using Python libraries and Jupyter Notebooks.