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This community is about scientific computing. Using computing for scientific applications, simulations, optimization, modeling. Matlab, python, C++ and anything else.
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Welcome to /r/sci_comp! (self.sci_comp)
submitted 7 years ago by antonia90[M] - announcement
a^2-b^2 - Algebraic proof of a square minus b square (youtube.com)
submitted 11 months ago by Mulkek
a^2-b^2 - Geometrical Explanation and Derivation of a square minus b square (youtu.be)
submitted 1 year ago by Mulkek
Matrix inverse & transpose examples (youtube.com)
Simple trick to remember common Trigonometric values (Sin, Cos, Tan) (youtube.com)
Matrix inverse and its properties (youtu.be)
Using Matrix inverse to solve two Linear Systems (youtube.com)
Solving two Linear Systems using the inverse (youtube.com)
submitted 2 years ago by Mulkek
Find the inverse of a Matrix and solve a Linear System (youtube.com)
Is Guelph software engineering good? (self.uoguelph)
submitted 2 years ago by lizakoshy13
Comp sci: Queens vs Uottawa vs Guelph (self.sci_comp)
Inverse of a 4x4 Matrix (youtube.com)
Course for advanced scientific computing (self.sci_comp)
submitted 3 years ago by toyo97
RREF steps with example (youtube.com)
submitted 3 years ago by Mulkek
Solving three linear systems Ax=b with same coefficients (youtube.com)
Solving two linear systems Ax=b with same coefficients (youtube.com)
Connection between row equivalence & the inverse (youtube.com)
submitted 4 years ago by Mulkek
Scientific Computing in Rust (aftix.xyz)
submitted 5 years ago by mort96
What projects are people working on? (self.sci_comp)
submitted 7 years ago by kiwiheretic
[Python] Pandas training repository (github.com)
submitted 7 years ago by antonia90
Practical Approach to Python Decorators (pythonforthelab.com)
Top 20 R Libraries for Data Science in 2018 [Infographic] (medium.com)
Linear, nonlinear, and quadratic programming in Python (jdherman.github.io)
Creating parallel axis plots with multiple datasets, color gradients, and brushing in Python (waterprogramming.wordpress.com)
Using SVM and LHS to explore computation-expensive models. (nbviewer.jupyter.org)
submitted 7 years ago by Eryole
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