Beyond JEE, IITs are opening doors with online and executive courses in high-demand fields like AI, robotics, biotechnology, and programming. These programmes include Engineering Mathematics, Genetic ...

Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...

From data science and artificial intelligence to machine learning, robotics, virtual and augmented reality, and UX strategy, IITs equip learners with industry-ready skills and bypass the traditional ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Learn how to build a standard deviation function in VPython with this step-by-step web tutorial! Perfect for coding, data analysis, and physics simulations. #VPython #PythonTutorial #StandardDeviation ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learn how to normalize a wave function using numerical integration in Python. This tutorial walks you through step-by-step coding techniques, key functions, and practical examples, helping students ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

The @a_sync('async') decorator can be used to define an asynchronous function that can also be executed synchronously.

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.