Python For Engineering and Scientific Computing

Name: Python For Engineering and Scientific Computing | Practical Applications with NumPy, SciPy, Matplotlib, and More
Brand: Packt Publishing Limited
Price: 49.19 EUR
Availability: OnlineOnly

Practical Applications with NumPy, SciPy, Matplotlib, and More

Rheinwerk Publishing Inc Veit Steinkamp(Author)

Packt Publishing Limited

1st Edition

Published on 12. June 2025

515 pages

E-Book

ePUB with Adobe-DRM

System requirements

E-Book

ePUB without DRM

System requirements

978-1-80610-604-2 (ISBN)

from €49.19

Available for download

Watchlist: see prices

Description

Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.

Alles über E-Books, Kopierschutz & Dateiformate finden Sie in unserem Info- & Hilfebereich.

Explore a comprehensive guide focused on Python programming for engineering and scientific computing. Learn essential modules and apply them through projects to solve real-world problems.Key Features - Comprehensive coverage of Python libraries essential for engineering and scientific tasks
- Integration of practical projects to reinforce learning and application of concepts
- Step-by-step guidance from basic programming to advanced simulations and interactive applications
Book DescriptionThis book provides a thorough introduction to Python programming designed for engineers and scientists. It begins with foundational topics like development environments and program structures, then introduces key Python libraries such as NumPy, SymPy, SciPy, Matplotlib, and VPython. Clear explanations and practical exercises help readers write efficient, well-structured code while progressing through increasingly complex projects. The content covers core programming paradigms including functions, branching, and object-oriented design, followed by numerical analysis with NumPy and symbolic math with SymPy. Detailed chapters on data visualization with Matplotlib and 3D animations with VPython enhance comprehension. Additional focus on statistical computations, Boolean algebra, and interactive GUI programming with Tkinter prepares readers for real-world applications. Each chapter ends with project tasks reinforcing hands-on learning. Throughout the book, readers build a strong skill set combining programming expertise and scientific problem-solving. By the end, they will confidently use Python's libraries to solve diverse engineering and scientific challenges. This practical, project-based approach ensures knowledge is both solid and immediately useful in research and professional work.What you will learn - Understand Python syntax and program structures for engineering tasks
- Apply numerical methods using NumPy for scientific computing needs
- Create data visualizations with Matplotlib for clear analysis
- Perform symbolic mathematics using SymPy for complex equations
- Develop interactive applications with Tkinter for user interfaces
- Simulate physical systems and animations using VPython tools
Who this book is forIdeal for engineers, scientists, and students with basic programming knowledge looking to apply Python in technical fields. A foundational understanding of programming concepts and mathematics is recommended to fully benefit from the practical computational and visualization techniques covered.

All prices

More details

Content

Cover
Contents
1: Introduction
1.1 Development Environments
1.1.1 IDLE
1.1.2 Thonny
1.1.3 Spyder
1.1.4 Pip
1.2 The Modules of Python
1.2.1 NumPy
1.2.2 Matplotlib
1.2.3 SymPy
1.2.4 SciPy
1.2.5 VPython
1.3 The Keywords of Python
1.4 Your Path through This Book
2: Program Structures
2.1 Linear Program Structures
2.1.1 Linear Programs without Function Calls
2.2 Functions
2.2.1 Built-In Functions
2.2.2 Functions without Parameters and without Return Values
2.2.3 Functions with Parameters and a Return
2.2.4 Functions with Multiple Return Values
2.2.5 Functions Call Other Functions
2.3 Branching Structures
2.3.1 Single Selection
2.3.2 Multiple Selection
2.4 Repetitive Structures
2.4.1 The while Loop
2.4.2 The for Loop
2.5 Data Structures
2.5.1 Tuples
2.5.2 Lists
2.5.3 Dictionaries
2.5.4 Sets
2.6 Functional Program Style
2.7 Object-Oriented Program Style
2.7.1 Objects and Classes
2.7.2 Inheritance
2.8 Project Task: Dimensions of a Shaft
2.9 Tasks
3: Numerical Calculations Using NumPy
3.1 NumPy Functions
3.1.1 Creating One-Dimensional Arrays Using arange() and linspace()
3.1.2 Creating Two-Dimensional Arrays Using array()
3.1.3 Slicing
3.1.4 Mathematical NumPy Functions
3.1.5 Statistical NumPy Functions
3.2 Vectors
3.2.1 Addition of Vectors
3.2.2 Scalar Product
3.2.3 Cross Product
3.2.4 Triple Product
3.2.5 Dyadic Product
3.3 Matrix Multiplication
3.3.1 Chain Shape with B Parameters
3.3.2 Usage Example: Calculating the Energy of a Rotating Rigid Body in Space
3.4 Linear Systems of Equations
3.4.1 Systems of Equations with Real Coefficients
3.4.2 Systems of Equations with Complex Coefficients
3.5 Project Task: Lightning Protection System
3.6 Tasks
4: Function Plots and Animations Using Matplotlib
4.1 2D Function Plots
4.1.1 Basic Structure of a Function Plot
4.1.2 Gridlines
4.1.3 Labels
4.1.4 Line Styles
4.1.5 Designing Axes
4.1.6 Coloring Areas
4.1.7 Subplots
4.1.8 Parameter Representation
4.1.9 Changing Function Parameters Interactively
4.1.10 Contour Plots
4.2 3D Function Plots
4.2.1 Helical Line
4.2.2 Circular Ring
4.2.3 Combining a 3D Plot with a Contour Plot
4.3 Vectors
4.3.1 Vector Addition
4.3.2 Vector Field
4.4 Displaying Figures, Lines, and Arrows
4.4.1 Rectangles
4.4.2 Circles and Lines
4.4.3 Arrows
4.4.4 Polygons
4.4.5 Usage Example: A Metal Rod in a Magnetic Field
4.5 Animations
4.5.1 A Simple Animation: Shifting a Sine Function
4.5.2 Animated Oblique Throw
4.5.3 Animated Planetary Orbit
4.6 Project Task: Stirling Cycle
4.7 Project Task: Animating a Thread Pendulum
4.8 Project Task: Animating a Transmission
4.9 Tasks
5: Symbolic Computation Using SymPy
5.1 Basic Mathematical Operations
5.1.1 Addition
5.1.2 Multiplication of Terms
5.1.3 Multiplication of Linear Factors
5.1.4 Division
5.1.5 Exponentiation
5.1.6 Usage Example: Analyzing an Electrical Power Transmission System
5.2 Multiplying Matrixes
5.2.1 Calculation Rule
5.2.2 Transmission Function of a Catenary Circuit
5.3 Equations
5.3.1 Linear Systems of Equations
5.3.2 Nonlinear Systems of Equations
5.4 Simplifications of Terms
5.5 Series Expansion
5.6 Partial Fractions
5.7 Continued Fractions
5.8 Limits
5.8.1 Limits of Sequences
5.8.2 Limits of Functions
5.8.3 Differential Quotient
5.9 Differentiation
5.9.1 Usage Example: Curve Sketching
5.10 Integrations
5.10.1 Indefinite Integral
5.10.2 Definite Integral
5.10.3 Usage Example: Stored Electrical Energy
5.11 Differential Equations
5.11.1 Linear First-Order Differential Equations
5.11.2 General Solution of a Second-Order Differential Equation
5.11.3 Special Solution of a Second-Order Differential Equation
5.12 Laplace Transform
5.12.1 Solving Differential Equations
5.12.2 Analyzing Networks with Transmission Functions
5.13 Project Task: Step Response of a Catenary Circuit
5.14 Project Task: Bending a Beam That Is Fixed at One End
5.14.1 Second Moment of Area
5.14.2 Equation of the Bending Line
5.15 Project Task: Reaction Kinetics
5.16 Project Task: Dual Mass Oscillator
5.17 Tasks
6: Numerical Computations and Simulations Using SciPy
6.1 Numerical Computation of Zeros
6.2 Optimizations
6.3 Interpolations
6.4 Numerical Differentiation
6.4.1 Methods of Numerical Differentiation
6.4.2 Drawing a Tangent Slope
6.4.3 Derivative of a Sine Function
6.4.4 Usage Example: Free Fall
6.5 Numerical Integration
6.5.1 Methods of Numerical Integration
6.5.2 Definite Integral
6.5.3 Integrating a Constant
6.5.4 Usage Example: Free Fall
6.5.5 Improper Integral
6.5.6 Calculating Arc Lengths
6.5.7 Volume and Surfaces of Rotating Bodies
6.5.8 Double Integrals
6.5.9 Triple Integrals
6.6 Solving Differential Equations Numerically
6.6.1 Numerical Solution of Differential Equations
6.6.2 First-Order Linear Differential Equation
6.6.3 Second-Order Linear Differential Equation
6.6.4 Nonlinear Second-Order Differential Equation
6.6.5 Second-Order Differential Equation System: Coupled Spring-Mass System
6.6.6 Nonlinear Second-Order Differential Equation System: Double Pendulum
6.7 Discrete Fourier Transform
6.7.1 Basic Use of the Fast Fourier Transform Algorithm
6.7.2 Frequency Spectra of Non-Sinusoidal Periodic Signals
6.7.3 Reconstructing a Noisy Signal
6.8 Writing and Reading Sound Files
6.8.1 Generating and Saving Signals
6.8.2 Reading and Displaying Signals
6.9 Signal Processing
6.9.1 Frequency Response of a Butterworth Lowpass
6.9.2 Frequency Response of a Crossover
6.9.3 Filtering Signals
6.10 Project Task: Simulation of a Rolling Bearing Damage
6.11 Project Task: Predator-Prey Model
6.11.1 Exponential Growth
6.11.2 Logistic Growth
6.11.3 Predator-Prey Relationship for Exponential Growth
6.11.4 Predator-Prey Relationship for Logistic Growth
6.12 Project Task: Simulation of an Epidemic
6.13 Tasks
7: 3D Graphics and Animations Using VPython
7.1 The Coordinate System
7.2 Basic Shapes, Points, and Lines
7.2.1 Cylinder
7.2.2 Cuboid
7.2.3 Points
7.2.4 Lines
7.2.5 Sphere
7.2.6 Penetration
7.2.7 Composite Bodies
7.3 Bodies in Motion
7.3.1 Vertical Movement
7.3.2 Horizontal Movement
7.3.3 Movement in Space
7.3.4 Composite Motion
7.3.5 Rotational Motion
7.3.6 Random Motion
7.4 Animation of Oscillations
7.4.1 Simple Pendulum
7.4.2 Spring Pendulum
7.5 Event Processing
7.6 Project Task: Animation of a Coupled Spring Pendulum
7.7 Project Task: Animation of Two Coupled Simple Pendulums
7.8 Tasks
8: Computing with Complex Numbers
8.1 Mathematical Operations
8.2 Euler's Formula
8.2.1 Symbolic Method
8.3 Calculating with Complex Resistors
8.4 Function Plots with Complex Magnitudes
8.4.1 Complex Frequency Response of a Series Resonant Circuit
8.4.2 Locus Curves
8.5 Project Task: Electric Power Transmission System
8.5.1 Task
8.5.2 Equivalent Circuit Diagram of a Three-Phase Power Line
8.6 Tasks
9: Statistical Computations
9.1 Generating, Saving, and Reading Measurement Values
9.1.1 Generating Measurement Values
9.1.2 Converting a Measurement Series into a Table
9.1.3 Writing Measurement Values to a File
9.1.4 Reading Measurement Values from a File
9.2 Frequency Distribution
9.2.1 Frequency Tables
9.2.2 Histograms
9.3 Location Parameters
9.3.1 Arithmetic Mean
9.3.2 Mode, Median, Harmonic Mean, and Geometric Mean
9.4 Dispersion Parameters
9.5 Normal Distribution
9.5.1 Graphical Representation of the Density Function
9.5.2 Probability Distribution
9.6 Skew
9.7 Regression Analysis
9.7.1 Computing the Regression Parameters
9.7.2 Representing the Scatter Plot and the Regression Line
9.8 Project Task: Simulation of a Quality Control Chart
9.9 Tasks
10: Boolean Algebra
10.1 Logical Operations
10.1.1 Conjunction
10.1.2 Disjunction
10.1.3 Negation
10.2 Laws of Boolean Algebra
10.2.1 Simple Postulates
10.2.2 De Morgan's Laws
10.2.3 Distributive Law
10.3 Circuit Synthesis
10.3.1 Simplifying Logic Functions by Factoring Out
10.3.2 Simplification Using the Disjunctive Normal Form
10.3.3 Simplification Using the Conjunctive Normal Form
10.4 Project Task: Seven-Segment Coding
10.5 Tasks
11: Interactive Programming Using Tkinter
11.1 Interactions with Command Buttons, Textboxes, and Labels
11.1.1 Labels
11.1.2 Textboxes and Command Buttons
11.2 The Layout Manager of Tkinter
11.2.1 The pack Method
11.2.2 The grid Method
11.2.3 Summary
11.3 Selection with Radio Button
11.4 Slider
11.5 The Canvas Drawing Area
11.5.1 Representing Lines
11.5.2 Function Plots
11.5.3 Querying Mouse Coordinates
11.6 Project Task: Rotational Frequency Control of an Externally Excited DC Motor
11.7 Tasks
Appendix
A.1 Glossary: Basic Applied Computer Science Terminology
A.2 Derivatives of Elementary Functions
A.3 Antiderivative of Elementary Functions
A.4 Fourier Series of Important Electrotechnical Voltage Characteristics
A.5 Correspondence Table of Important Inverse Laplace Transforms
A.6 Bibliography
The Author
Index

System requirements

Save as PDF Copy link into clipboard

Schweitzer Fachinformationen

Python For Engineering and Scientific Computing

Description

All prices

More details

Content

System requirements