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.
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.
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.
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.
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.
Using Python to Help the Unhoused
Learn how volunteers use Python to assist an NGO in Victoria, BC, in supporting the unhoused through social media monitoring and resource allocation optimization.
It Might Look Normal but This Distribution Will Ruin Your Stats
Explore a deceptive non-normal distribution that mimics normality, its prevalence in nature, and its impact on hypothesis testing. Learn about robust statistics and their applications in data analysis.
Python Meets UX - Enhancing User Experience with Code
Explore how Python enhances UX design through automation, data analysis, and personalization. Learn practical examples for improving user experiences and designer workflows.
Jaguares y Serpientes
Uso de Python y ArcPy para analizar datos de telemetría en la conservación de jaguares, combinando tecnología y ecología para entender y proteger esta especie.
Developing on Google Cloud with Python and DataFrames
Explore Google Cloud's enhanced Python experience for building applications, pipelines, and analytics, focusing on BigQuery integration and DataFrame support for impactful business solutions.
How Python is Behind the Science of the James Webb Space Telescope
Explore how Python powers the James Webb Space Telescope's groundbreaking infrared astronomy, from data reduction pipelines to analysis tools, enabling revolutionary cosmic discoveries.
Eroding Coastlines - A Geospatial & Computer Vision Analysis
Explore satellite imagery and Python tools for geospatial analysis to identify and analyze coastal erosion, addressing a critical environmental and humanitarian challenge.
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.
Feature Engineering is for Everyone
Explore feature engineering techniques for data visualization, automation, and machine learning. Learn to create and select features from various data types using encodings, vectorization, and date manipulation.
Data Analysis with SQLite and Python
Hands-on tutorial for Python users to master SQLite, covering advanced SQL features, data manipulation with sqlite-utils, and exploration using Datasette. Learn to build and deploy data applications.
Making Use of OpenStreetMap Data with Python
Explore OpenStreetMap data manipulation using Python, learning techniques to extract, analyze, and visualize geographic information for various applications.
Programmazione MapReduce in Python con Pydoop
Esplora la programmazione MapReduce utilizzando Pydoop, un potente framework Python per l'elaborazione di big data distribuita su cluster Hadoop.
Diving into Scientific Python
Explore scientific Python with Python(x,y), a comprehensive distribution for data analysis, visualization, and numerical computing.
Visualization and Analysis of Large Scale Datasets with Python
Explore techniques for visualizing and analyzing big data using Python, focusing on efficient methods to handle large-scale datasets and extract meaningful insights.