Python for Scientists and Engineers

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Intermediate

98 Lessons

13h

Certificate of Completion

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This course includes

1 Assessment

252 Playgrounds

11 Quizzes

This course includes

1 Assessment

252 Playgrounds

11 Quizzes

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

TAKEAWAY SKILLS

Python Basics

Arrays

Plotting

Systems Of Linear Equations

Symbolic Computation

Scientific Algorithms

Random Variables

Course Content

Introduction

About This Course

Python Refresher

Data Types and Variables Operators Conditional Statements Loops Functions Lambdas Lists Tuples and Dictionaries Using Python Packages Quiz 1!Exercise: Check Sum Solution Review: Check Sum

Arrays

Introduction

Vectors Multidimensional Arrays Quiz 2!Indexing Arrays Array Operations Data Processing Smart Array Programming Quiz 3!Exercise: Accessing 2-Dimensional Arrays Solution Review: Accessing 2-Dimensional Arrays Exercise: Using Conditions on Arrays Solution Review: Using Conditions on Arrays

Plotting

Basic Plotting Important Note!Plotting Multiple Curves Setting Up the Axes Gallery of Graphs 3-D Plots Quiz 4!Exercise: Plotting Temperatures Solution Review: Plotting Temperatures Exercise: Plotting Torus Solution Review: Plotting Torus

Systems of Linear Equations

Building and Solving Linear Equations Eigenvalues and Eigenvectors

Matrix Operations Sparse Matrices Quiz 5!Exercise: Fitting a Wave Solution Review: Fitting a Wave

Symbolic Computation

17 Lessons

Scientific Algorithms

13 Lessons

Random Variables

9 Lessons

Applications

10 Lessons

10.

Conclusion

2 Lessons

11.

Appendix

2 Lessons

Python for Scientists and Engineers Exam

Assessment

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Souvik Kundu

Front-end Developer

Eric Downs

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Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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