PANDA Walking Loud in the Cloud - Logan Hicks
Explore PANDA, an open-source cloud networking solution, covering its objectives, features, and architecture. Learn about its performance stack, traffic flow, and global layout.
Interactive C++ - Meet Jupyter - Cling
Explore interactive C++ using Jupyter and Cling. Learn prototyping techniques, interface guidance, and powerful combinations for data science and exploratory programming.
Small Big Data - Using NumPy and Pandas When Your Data Doesn't Fit in Memory
Techniques for processing data too big for memory but too small for Big Data clusters, using NumPy and Pandas: compression, batching, and indexing for efficient data handling.
Geospatial Public Policy Analysis with GeoPandas
Analyze US higher education institutions using GeoPandas, exploring education deserts and equity implications through hands-on data analysis with NCES and IPEDS datasets.
Datos, Python y Humanos
Explorando retos y oportunidades de la ciencia de datos en Latinoamérica: historias reales, obstáculos comunes y visión de futuro para científicos de datos y empresas en la región.
Polyglot Data with Python - Introducing Pandas and Apache Arrow
Explore polyglot data handling with Python using Pandas and Apache Arrow for efficient data exchange between ecosystems, improving performance and reducing file sizes.
Time for Time Series
Explore time series analysis fundamentals, decomposition techniques, and forecasting models using Pandas. Learn to extract insights and create powerful predictions from temporal data.
From Spreadsheets to DataFrames
Learn to transition from spreadsheets to Python DataFrames, exploring web scraping, data processing, analysis, and visualization using popular libraries like Pandas and Matplotlib. Gain skills for efficient data management and problem-solving.
Large Scale Data Validation - with Spark and Dask
Explore data validation techniques for large-scale datasets using Spark and Dask. Learn to transition from single-machine to distributed computing, combining frameworks for efficient validation across partitions.
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.
Charlas - Laura Gutiérrez Funderburk: Reduciendo prejuicio en la inteligencia artificial
Aprende a identificar y reducir sesgos en modelos de IA para salud usando Python. Explora técnicas de evaluación de datos, entrenamiento de modelos y optimización con Fairlearn para mejorar la equidad en las predicciones.
Charlas - Marco Carranza: Estrategias para trabajar con datos a medida que estos crecen
Estrategias para procesar datos crecientes con recursos limitados, desde una sola máquina hasta clusters, utilizando Pandas, Pyspark, Vaex y Modin. Enfoque práctico para investigadores y startups.
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.
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.
Getting Started with Polars
Explore Polars, a fast data manipulation library, through hands-on exercises with real-world datasets. Learn key operations, compare with Pandas, and optimize data pipelines.
Exploring Eco Topics with Python
Learn to apply Python skills to pressing environmental issues, using tools like numpy, pandas, and matplotlib to analyze deforestation, wildlife trade, and carbon pollution data.
How to Create Beautiful Interactive GUIs and Web Apps
Learn to create interactive GUIs and web apps using streamlit in Python. Hands-on exercises cover basics, data visualization, custom layouts, and integration with popular libraries for effective data science projects.
Brain Waves for Hackers
Explore brain wave analysis using Python and the Neurosky Mindwave headset. Learn EEG basics, neurofeedback applications, and how to start experimenting with consumer-grade EEG devices for mental training and potential therapeutic uses.
Python Driven Company
Discover how Python can revolutionize company-wide data analysis, replacing traditional tools like Excel. Learn strategies for teaching non-programmers to leverage Python's power in their daily work.
PySpark and Warcraft Data
Explore PySpark's capabilities for analyzing World of Warcraft auction data, comparing performance with other tools and demonstrating its application in processing large datasets efficiently.
Everyone Can Do Data Science in Python
Learn essential data science techniques using Python, numpy, pandas, and sklearn. Explore real-world use cases with code snippets and live demos in IPython notebooks.