Scientific Computing Courses and Certifications

EuroPython Conference

Diving into Scientific Python

Explore scientific Python with Python(x,y), a comprehensive distribution for data analysis, visualization, and numerical computing.

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

EuroPython Conference

PyPy Meets Python 3 and Numpy

Explore PyPy's advancements in supporting Python 3.x and scientific computing with Numpy, offering improved performance and expanded application domains for Python developers.

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

EuroPython Conference

Scientific Computing Using Cython - Best of Both Worlds!

Explore Cython for scientific computing, combining Python-like syntax with C speed. Learn to build native extensions, use static typing, and integrate with C code for optimal performance.

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

EuroPython Conference

Python in Scientific Computing - What Works and What Doesn't

Evaluación de bibliotecas Python para cálculos científicos, enfocada en rendimiento, simplicidad, confiabilidad y portabilidad. Experiencias y lecciones aprendidas en la Fundación GEM.

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

PyCon US

Docker and Python - Making Them Play Nicely and Securely for Data Science and ML

Docker best practices for data science and machine learning: optimizing image builds, ensuring security, and implementing efficient deployment workflows for data-intensive applications.

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

CppNow

The Julia Language and C++ - The Perfect Marriage

Explore Julia's integration with C++, showcasing its high performance, dynamic dispatch, and seamless interfacing capabilities through Cxx.jl and CxxWrap.jl, with interactive examples and benchmarks.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Conference Talk

Learn Modern Fortran programming, from basics to advanced parallel computing techniques like OpenMP, OpenACC, CUDA, and MPI. Gain practical skills through hands-on exercises and explore best practices for efficient code development.

• Independent
• On-Demand
• Free Online Course

Alan Turing Institute

Deep Learning for Scientific Computing - Two Stories on the Gap Between Theory & Practice - Ben Adcock

Explores deep learning in scientific computing, highlighting limitations and recent theoretical advancements in high-dimensional function approximation and inverse problems for imaging, aiming to bridge the gap between theory and practice.

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

Open Data Science

Gael Varoquaux at ODSC Boston 2015 - Scikit-Learn for Easy Machine Learning

Explore machine learning with scikit-learn: its popularity, capabilities, and future. Learn about easy predictive analysis, development process, and exciting new features in this data science ecosystem.

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

Comprehensive guide to transitioning from Python to NumPy, covering array anatomy, code vectorization, problem-solving techniques, and advanced topics for efficient numerical computing.

• Independent
• On-Demand
• Free Online Course

Python NumPy for Your Grandma

Learn NumPy's array operations, indexing, math functions, and advanced techniques through easy-to-understand explanations and practical challenges. Perfect for beginners and experienced programmers alike.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

Steve Brunton

Moore's Law, Exponential Growth, and Extrapolation!

Explore Moore's Law, exponential growth in computing, and its impact on AI, scientific computing, and future technologies. Understand the implications for technological advancement.

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

Steve Brunton

Turbulence Closure Models - Reynolds Averaged Navier Stokes and Large Eddy Simulations

Explore turbulence closure models, focusing on RANS and LES approaches for approximating complex fluid dynamics. Learn key concepts and applications in scientific computing.

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

Paul G. Allen School

PLSE Seminar Series - Eva Darulova - Programming with Numerical Uncertainties

Explore automated techniques for verifying and improving numerical software accuracy, addressing challenges in finite-precision arithmetic and error estimation for scientific computing applications.

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

Society for Industrial and Applied Mathematics

Factorization-based Sparse Solvers and Preconditioners - Lecture 3

Explore factorization-based sparse solvers and preconditioners, covering topics like minimum degree ordering, numerical pivoting, and sparse Gaussian elimination techniques.

• YouTube
• 1 hour 39 minutes
• On-Demand
• Free Video