Numba Courses and Certifications

The Machine Learning Engineer

Optimizing Python Code Speed with Numba JIT Compiler

Accelerate Python code execution using Numba's JIT compiler, leveraging jit and njit decorators for enhanced performance.

• YouTube
• 24 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Accelerating Python Code with Numba and CuPy for Machine Learning

Boost Python code execution with GPU acceleration and compilation using Numba and Cupy for machine learning tasks.

• YouTube
• 21 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Optimiza la Velocidad de tu Código Python con Numba JIT Compiler

Acelera tu código Python utilizando Numba y los decoradores JIT para optimizar el rendimiento y mejorar la eficiencia computacional.

• YouTube
• 28 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Acelere su Código Python con Numba y Cupy

Acelera tu código Python utilizando Numba y Cupy: compila y mueve a la GPU para optimizar el rendimiento en machine learning y ciencia de datos.

• YouTube
• 20 minutes
• On-Demand
• Free Video

EuroPython Conference

Numba - A JIT Compiler for Fast Numerical Code

Explore Numba, a JIT compiler for Python that accelerates numerical algorithms beyond Numpy capabilities, with CPU and GPU support. Learn its use cases, performance expectations, and inner workings.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Understanding Numba - The Python and Numpy Compiler

Explore Numba, a JIT compiler for Python and Numpy, to accelerate numerical code. Learn implementation techniques, performance optimization, and compare with other high-performance computing options.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

Faster Python Code

119 ratings at LinkedIn Learning

Learn tips to help optimize your Python code. Discover how to pick the right data structures, use caching, integrate performance in your process, and more.

• LinkedIn Learning
• 2 hours 6 minutes
• On-Demand
• Free Trial Available

Open Data Science

Tools for High Performance Python - Ian Ozsvald - ODSC Europe 2019

Discover techniques for optimizing Python performance, including efficient Pandas operations, Numba compilation, and Dask parallelization. Learn to identify bottlenecks and implement solutions for faster data processing and analysis.

• YouTube
• 40 minutes
• On-Demand
• Free Video

EuroPython Conference

Making Pandas Fly

Optimize Pandas for larger datasets: compression techniques, faster operations, and alternatives like Dask and Vaex. Learn to process more data efficiently and boost your data analysis capabilities.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Histogram-based Gradient Boosting in scikit-learn 0.21

Explore the new Histogram-based Gradient Boosting implementation in scikit-learn 0.21, offering competitive performance with XGBoost and LightGBM for efficient machine learning on tabular data.

• YouTube
• 45 minutes
• On-Demand
• Conference Talk

Open Data Science

RAPIDS - The Platform Inside and Outside - Joshua Patterson - ODSC East 2019

Accelerating data science with GPUs using RAPIDS: open-source libraries for GPU-powered data manipulation, machine learning, and graph analytics, scaling across multiple GPUs and integrating with existing Python ecosystems.

• YouTube
• 35 minutes
• On-Demand
• Free Video

EuroPython Conference

Scientific Visualization with GR

Explore scientific visualization with GR framework, covering 2D graphs to 3D scenes. Learn integration techniques, performance optimization, and real-world applications in this comprehensive overview.

• YouTube
• 23 minutes
• On-Demand
• Conference Talk

PyCon US

Power Up Your Work with Compiling and Profiling

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.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Developing a Real-Time Automated Trading Platform with Python

Aprenda a desarrollar una plataforma de trading automatizado en tiempo real utilizando Python, explorando sistemas multiagente, procesamiento de datos y visualización con herramientas como ZeroMQ, NumPy y PyQtGraph.

• YouTube
• 41 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Profile, Optimize, Repeat: One Core Is All You Need - Boosting Data Analysis Pipeline Performance

Boost data analysis pipeline performance on a single core. Learn profiling tools, optimization strategies, and techniques using numpy, numba jit-ing, and pybind11 extensions.

• YouTube
• 42 minutes
• On-Demand
• Free Video