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Generic programming | MIT 18.S191 Fall 2020 | Week 13 | David P. Sanders
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We see how to write a reusable function that works in different contexts, using random walks as an example.
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Generic programming | MIT 18.S191 Fall 2020 | Week 13 | David P. Sanders
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Generic programming | Week 13 | MIT 18.S191 Fall 2020 | David P. Sanders
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Functions are Objects | Week 4 | 18.S191 MIT Fall 2020
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Introspection | Week 4 | 18.S191 MIT Fall 2020
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Defining new types | Week 3 | 18.S191 MIT Fall 2020
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Understanding structure in data | Week 3 | MIT 18.S191 Fall 2020 | David Sanders
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Functions and types: Multiple dispatch | Week 3 | 18.S191 MIT Fall 2020
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Why you don't game on supercomputers | Week 13 | MIT 18.S191 Fall 2020 | James Schloss
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Graphs, trees, and spreading disease | Week 5 | MIT 18.S191 Fall 2020 | James Schloss [EDIT]
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Computational Thinking Illustrated | Week 5 | MIT 18.S191 Fall 2020 | Alan Edelman
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Convolutions in the Real World | Week 2 | 18.S191 MIT Fall 2020
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Building an ocean model from scratch | Week 13 | MIT 18.S191 Fall 2020 | Henri Drake
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Writing Self-Documenting code | Week 6 | 18.S191 MIT Fall 2020 | Alan Edelman & David Sanders
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Verbs and nouns in Julia | Week 5 | 18.S191 MIT Fall 2020
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Matrix Structures | Week 3 | 18.S191 MIT Fall 2020
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What is a Discrete Fourier Transform? | Week 14 | MIT 18.S191 Fall 2020 | Grant Sanderson
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What is an array, really? Abstract arrays | Week 8 | 18.S191 MIT Fall 2020
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Everybody Talks about R0 | Week 6 | 18.S191 MIT Fall 2020 | Alan Edelman
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Convolutions in Image Processing | Week 1, lecture 6 | MIT 18.S191 Fall 2020
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MIT Computational Thinking Spring 2021. 6.S083 / 18.S191 / 22.S092
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Fluid dynamics with Oceananigans.jl | Week 13 | MIT 18.S191 Fall 2020 | Ali Ramadhan
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Generic programming
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Generic Functions in Julia | Julia Programming For Nervous Beginners (Week 2 Lesson 4)
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Graphs are matrices | Week 5 | 18.S191 MIT Fall 2020
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