./episode_119.sh
📚 “Teachers open the door, but you must enter by yourself.” Chinese Proverb
Hey friends & nerds! 👋
Welcome to the Sunday Science Newsletter where we explore science, systems & tools that help us become smarter scientists.
💡 Introduction to the Finite Element Method (Coding)
This repository contains teaching resources for an introductory course on Finite Element Analysis. The course emphasizes on the solution, through finite element algorithms, of the theory of elasticity boundary value problem. It combines theoretical aspects and computational implementations in Python.
💦 Φ-SO : Physical Symbolic Optimization - Learning Physics from Data
The Physical Symbolic Optimization package uses deep reinforcement learning to discover physical laws from data. Here is Φ-SO discovering the analytical expression of a damped harmonic oscillator.
🌎 Repo: https://github.com/WassimTenachi/PhySO
🎙️Tony Abbey and Lukasz Skotny on FEA Snap-through
Tony Abbey and Lukasz Skotny got together to discuss some of the implications of doing a nonlinear snapthrough analysis in FEA.
💻 1989 Computational Fluid Dynamics Highlights
🚀 Engineering Tool of the Week – Fluidity
Fluidity is an open source, general purpose, multiphase computational fluid dynamics code capable of numerically solving the Navier-Stokes equation and accompanying field equations on arbitrary unstructured finite element meshes in one, two and three dimensions.
📚 Book of the Week
Automated Machine Learning in Action
Automated Machine Learning in Action reveals how you can automate the burdensome elements of designing and tuning your machine learning systems. It’s written in a math-lite and accessible style, and filled with hands-on examples for applying AutoML techniques to every stage of a pipeline. AutoML can even be implemented by machine learning novices! If you’re new to ML, you’ll appreciate how the book primes you on machine learning basics. Experienced practitioners will love learning how automated tools like AutoKeras and KerasTuner can create pipelines that automatically select the best approach for your task, or tune any customized search space with user-defined hyperparameters, which removes the burden of manual tuning.
💻 App of the Week – Rize (MacOS)
I’ve been using Rize for ~2 weeks now and it’s by far one of the best designed, most useful apps on Mac that help me spend my time more intentional and reflect after each day where I could spend less time such as meetings or wasting time on social media.
👉 Definitely worth a try if you’d want to 10x your productivity!
🙃 Meme of the Week
👉 Explore More
🚀 (Early-Bird Access) The Python Bootcamp | From Zero to Hero
Whether you're looking to launch your first science course, improve your CV, or want to build your network.
🎬 Animation of the Week
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Keep engineering your mind! 🧠
Jousef