Interval Methods for Scientific Computing in Julia
Explore interval methods for scientific computing in Julia, focusing on constraint propagation, global optimization, and root finding using IntervalConstraintProgramming.jl and IntervalArithmetic.jl packages.
An Introduction to Julia for Beginners
Comprehensive introduction to Julia programming, covering basics to advanced topics. Ideal for beginners with technical computing needs and experience in other languages.
Tricks and Tips in Numerical Computing - Keynote
Explore advanced numerical computing techniques, from complex differentiation to low-precision arithmetic, with insights on error analysis, matrix operations, and IEEE standards for improved computational accuracy and efficiency.
A Superfacility Model for Data-Intensive Science
Explore data-intensive science challenges, high-performance computing, and the role of programming languages like Julia in addressing big data and computational demands in scientific research.
NumPy Crash Course - Complete Tutorial
Comprehensive tutorial covering essential NumPy functions, from basic operations to advanced techniques like linear algebra, with practical examples and performance comparisons.
Deep Learning for Fundamental Sciences Using High-Performance Computing
Exploring deep learning applications in fundamental sciences using high-performance computing to uncover universe secrets and improve discovery sensitivity.
Physics-Informed Automatic Differentiation in Scientific Simulations
Explore how automatic differentiation intersects with physical symmetries and numerical analysis in scientific simulations, focusing on materials science applications in DFTK.jl.
Seamless Transition from Single-core Python to Julia Multi-GPU
Discover how to transform single-core Python code into scalable Julia applications for GPU supercomputers, with focus on automatic verification and parallel computing optimization.
Python Programming in Hindi - Python Tutorial for Beginners
व्यापक पायथन प्रोग्रामिंग ट्यूटोरियल जो बुनियादी अवधारणाओं से लेकर उन्नत विषयों तक सभी कुछ कवर करता है, साथ में प्रोजेक्ट्स और डेटा विज़ुअलाइज़ेशन भी शामिल है।
PyO3 and Rust in Action: Migrating Pascal to Rust for Python Integration
Explore migrating Pascal code to a Rust module for Python, improving performance and preventing segfaults in LCA software while maintaining C-like speed.
Numpy Tutorial in Hindi
हिंदी में NumPy का व्यापक परिचय: डेटा विश्लेषण और वैज्ञानिक गणना के लिए इस शक्तिशाली पायथन लाइब्रेरी की मूल बातें और उन्नत सुविधाएँ सीखें।
Python NumPy Array Functions and Slicing - Data Science and Big Data Tutorial in Hindi
नम्पी ऐरे फंक्शंस और स्लाइसिंग पर गहन ट्यूटोरियल। पायथन डेटा साइंस और बिग डेटा के लिए आवश्यक कौशल सीखें।
Interpreting Quantum Chemistry Log Files - Part 4
Uncover the secrets of quantum chemistry log files with Prof. Choi's expert interpretation, gaining valuable insights into complex calculations and advancing your understanding of molecular phenomena.
Introduction to CUDA Programming for Physicists - Lecture 1
Explore CUDA programming fundamentals for physicists, covering essential concepts and techniques to leverage GPU computing in scientific applications.
Numerical Methods - Class 1 of 4
Explore numerical methods for modeling infectious diseases, focusing on fundamental techniques and their applications in epidemiology.
Computational Methods for Simulating and Analyzing Ecological Systems - Class 20
Explore computational methods for simulating and analyzing ecological systems. Learn equilibrium solutions, differential equations, and Python applications in quantitative ecology.
Computational Methods for Simulating and Analyzing Ecological Systems - Class 4
Explore computational methods for ecological simulations and analysis, focusing on plotting techniques, floating points, and algorithmic problem-solving in quantitative ecology.
Des mathématiques pour comprendre notre monde - Partie 2
Explorez les applications des mathématiques dans notre monde quotidien à travers des exemples concrets et fascinants.
Modeling Reality: Then and Now
Odkryj ewolucję modelowania rzeczywistości w fizyce teoretycznej, od klasycznych metod po nowoczesne sieci neuronowe i modele językowe, prezentowane przez eksperta w dziedzinie.
Numerical Methods for PDEs - Class 16
Explore advanced numerical methods for solving partial differential equations, focusing on techniques applicable to complex mathematical problems in various scientific fields.
Numerical Methods for PDEs - Class 20
Explore advanced numerical methods for solving partial differential equations in this doctoral-level lecture, focusing on cutting-edge techniques and applications in mathematical modeling.