Gain insights into Python for scientific computing. Explore arrays, plotting, linear equations, and algorithms using NumPy, Matplotlib, SciPy. Delve into applying tools with practical exercises.
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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...Show More
If you're a scientist or an engineer interested in learning scientific computing, this is the place to start.
In this course, y...Show More
TAKEAWAY SKILLS
Python Basics
Arrays
Plotting
Systems of Linear Equations
Symbolic Computation
Scientific Algorithms
Random Variables
Course Content
98 Lessons11 Quizzes1 Assessment1 Challenge
1.
Introduction
2 Lessons
Get familiar with Python's advantages in scientific computing and essential programming libraries.
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