
Learn how volunteers use Python to assist an NGO in Victoria, BC, in supporting the unhoused through social media monitoring and resource allocation optimization.

Learn to scale data workflows using Apache Airflow, covering dynamic DAG generation, automation, and best practices for managing big data pipelines. Suitable for beginners and intermediate developers.

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.

Explore how Python enhances UX design through automation, data analysis, and personalization. Learn practical examples for improving user experiences and designer workflows.

Aprende a utilizar XGBoost para crear modelos de clasificación precisos y eficientes, explorando conceptos básicos, técnicas de construcción y evaluación, y ventajas clave de esta poderosa herramienta.

Exploring the potential of no-GIL Python for scientific programming, comparing performance with standard CPython in CPU-intensive tasks like PCA, clustering, and data manipulation using Scikit-learn and Pandas.

Learn to transform Jupyter Notebooks into reproducible ML pipelines using Git and DVC. Explore techniques for experiment tracking, modularization, and result comparison in a text2image project with Stable Diffusion.

Explore Python's functional programming capabilities for data challenges, focusing on itertools, functools, and map-reduce patterns through interactive Advent of Code puzzles.

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.

Explore various open-source Python profiling technologies, their tradeoffs, and visualization methods like flow charts, call trees, and flamegraphs in this hands-on workshop.

Explore building LLM-based agents with Haystack, connecting them to tools and knowledge bases for smart NLP-driven applications. Learn practical use cases and code examples for developing agent-driven solutions.

Create stunning Data Science web apps with Taipy, a low-code Python package. Learn to build interactive AI applications using Taipy Core, GUI, and Studio for efficient data exploration and pipeline execution.

Explore best practices for building serverless solutions with Python, focusing on API calls, streaming data, and ML inference. Learn techniques for production-grade systems with observability.

Explore Google Cloud's enhanced Python experience for building applications, pipelines, and analytics, focusing on BigQuery integration and DataFrame support for impactful business solutions.

Explore how Python powers the James Webb Space Telescope's groundbreaking infrared astronomy, from data reduction pipelines to analysis tools, enabling revolutionary cosmic discoveries.

Efficient techniques for querying and joining data across distant machines using Python, addressing slow network transfers and large datasets that exceed local memory.

Explore Python's role in optimizing transportation networks through real-world examples, including driver-load matching, network optimization, and decision-making using graph analytics and data science concepts.

Explore satellite imagery and Python tools for geospatial analysis to identify and analyze coastal erosion, addressing a critical environmental and humanitarian challenge.

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.

Discover how to optimize Python code performance using Numba, a JIT compiler for numerical calculations. Learn when and how to apply Numba effectively to speed up math-heavy code in data science and development projects.

Aprenda a criar um pacote Python usando programação literária, combinando explicações em linguagem natural com código. Explore ferramentas como Jupyter Notebooks e Nbdev para desenvolvimento eficiente e documentação integrada.