This course includes
Course Overview
If you're a scientist or an engineer interested in learning scientific computing, this is the place to start. In this course, you'll learn to write your own useful code to perform impactful scientific computations. Along the way, your understanding will be tested with periodic quizzes and exercises. Topics covered in this course include arrays, plotting, linear equations, symbolic computation, scientific algorithms, and random variables. You’ll also be exposed to popular Python packages like NumPy, Matplo...
TAKEAWAY SKILLS
Python Basics
Arrays
Plotting
Systems Of Linear Equations
Symbolic Computation
Scientific Algorithms
Random Variables
Course Content
Introduction
Python Refresher
Arrays
Plotting
Systems of Linear Equations
Symbolic Computation
17 Lessons
Scientific Algorithms
13 Lessons
Random Variables
9 Lessons
Applications
10 Lessons
Conclusion
2 Lessons
Appendix
2 Lessons
Python for Scientists and Engineers Exam
Assessment
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Anthony Walker
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Emma Bostian 🐞
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Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Souvik Kundu
Front-end Developer
Eric Downs
Musician/Entrepeneur
Anthony Walker
@_webarchitect_
Emma Bostian 🐞
@EmmaBostian
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