Python for Scientists and Engineers

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.

Intermediate

98 Lessons

13h

Certificate of Completion

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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Explanations

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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

Get familiar with Python's advantages in scientific computing and essential programming libraries.

Introduction

About This Course

Python Refresher

Get started with Python essentials, including variables, operators, loops, functions, and packages.

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

Examine NumPy arrays, multidimensional arrays, array operations, indexing, data processing, and smart programming techniques.

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

Apply your skills to create and customize 2-D and 3-D plots using matplotlib.

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

Solve problems in systems of linear equations, eigenvalues, matrix operations, and sparse matrices.

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

Follow the process of using SymPy for symbolic computation, including algebra, calculus, and equation solving.

Scientific Algorithms

13 Lessons

Master scientific algorithms using SciPy for integration, interpolation, optimization, and Fourier transforms.

Random Variables

9 Lessons

Learn how to use random variables, distributions, histograms, percentiles, and prediction simulations.

Applications

10 Lessons

Get started with hands-on applications of Python in optical systems, transfer functions, and harmonographs.

10.

Conclusion

2 Lessons

Go hands-on with future learning in data science and machine learning skills.

11.

Appendix

2 Lessons

Grasp the fundamentals of efficient file I/O with NumPy and LaTeX formatting in matplotlib.

Python for Scientists and Engineers Exam

Assessment

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