📚 Free education is abundant, all over the Internet. It's the desire to learn that's scarce.
Hey friends & nerds! 👋
Welcome to the Sunday Science Newsletter – in this newsletter we explore & discuss strategies, systems & tools that help us become better, smarter and more effective scientists.
❤️ Weekly Favourite Things
🎬 My Favourite Video
💻 FalsiScan: Make it look like a PDF has been hand signed and scanned
🧠 Companion Jupyter Notebooks for the book "Deep Learning with Python" by François Chollet
This repository contains Jupyter notebooks implementing the code samples found in the book Deep Learning with Python, 2nd Edition (Manning Publications).
💦 CFD Python: 12 steps to Navier-Stokes
This post describes the first practical module of Prof. Barba's Computational Fluid Dynamics class, as taught between 2010 and 2013 at Boston University. The module is called "12 steps to Navier-Stokes equations".
💻 Engineering Tool of the Week – Open Source Multiphase Flow Modeling for Real-world Applications
This open-source software has over three decades of development history and more than 7,000 registered users worldwide. MFiX has become the standard for comparing, implementing, and evaluating multiphase flow constitutive models and has been applied to an extremely diverse range of multiphase flows applications. The successes achieved in modeling complex multiphase flow systems have led to new and improved key attributes such as drag, polydispersity, attrition, and agglomeration models, among other significant advances.
📚 Book of the Week
Turbulence: The Legacy of A. N. Kolmogorov
This textbook presents a modern account of turbulence, one of the greatest challenges in physics. The state-of-the-art is put into historical perspective five centuries after the first studies of Leonardo and half a century after the first attempt by A. N. Kolmogorov to predict the properties of flow at very high Reynolds numbers. Such 'fully developed turbulence' is ubiquitous in both cosmical and natural environments, in engineering applications and in everyday life. The intended readership for the book ranges from first-year graduate students in mathematics, physics, astrophysics, geosciences and engineering, to professional scientists and engineers. Elementary presentations of dynamical systems ideas, of probabilistic methods (including the theory of large deviations) and of fractal geometry make this a self-contained textbook.
✍️ Tweet of the Week
🙃 Meme of the Week
Some professors man…
🎬 Animation of the Week
✍️ Closing Remarks
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See you next week and in the meantime, make sure to keep engineering your mind! 🧠