{"product_id":"introduction-to-computational-physics-algebra-differential-equations-and-simulations-in-python","title":"Introduction to Computational Physics: Algebra, Differential Equations and Simulations in Python","description":"\u003cdiv\u003e \u003cdiv\u003e \u003cdiv\u003e \u003cspan\u003eComputational physics is now a core part of undergraduate science, mathematics and engineering programs. This self-contained course emphasizes hands-on learning, reproducibility, and computational thinking within the physics context using Python. It integrates core principles outlined by the American Association of Physics Teachers and supports readers in developing a strong computational foundation for research projects.\u003cbr\u003e\u003cbr\u003eDesigned with minimal prerequisites, this text equips readers with essential technical computing skills through Python programming, Jupyter notebooks, and Quarto for science reproducibility. Readers are guided through numerical algorithms, matrix algebra, data visualization, differential equations, Monte Carlo simulations, and stochastic processes. Realistic examples are drawn from classical mechanics, electricity and magnetism, statistical physics, and quantum mechanics:\u003c\/span\u003e\u003cul\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eComputations of projectile motion with drag, driven damped mass-spring systems, Lotka-Volterra model and double pendulum\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eNon-linear regression and data fitting\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eUnits, uncertainties and error propagation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eSymbolic algebra for Lagrangian mechanics\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eSolving 1D heat diffusion and Schrödinger’s equation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eMonte Carlo simuilations and Markov chain generation\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003e\u003cspan\u003eBrownian motion, percolation and 2D Ising model\u003c\/span\u003e\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e","brand":"Books Prime","offers":[{"title":"Default Title","offer_id":45914246676671,"sku":"eb9c5117-22e0-4052-853e-757d606608f0","price":42.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0761\/7550\/7647\/files\/32d102d3b24d3304b181192a4d75f4af.jpg?v=1785056257","url":"https:\/\/books-prime.com\/products\/introduction-to-computational-physics-algebra-differential-equations-and-simulations-in-python","provider":"Books Prime","version":"1.0","type":"link"}