Python for Science and Engineering

1 Python for Science and EngineeringHans-Petter for Science and EngineeringPython for Science and EngineeringHans-Petter Halvorsen2019 Python for Science and Engineeringc Hans-Petter HalvorsenAugust 12, 2020 ISBN:978-82-691106-5-41 PrefacePython is a popular programming language, and it is one of the most used pro-gramming languages works on all the main platforms and operating systems used today, suchWindows, macOS, and is a multi-purpose programming language, which can be use for simu-lation, creating web pages, communicate with database systems, Blog/Web Site [1].

2 You find lots of technical resources about Technology, Programming, Soft-ware Engineering , Automation and Control, Industrial IT, you find my Web page with Python resources: resources are a supplement to this textbook. Here you can download thesoftware, download code examples, Textbook is written in LATEX using a document preparation system used for the communication and publi-cation of scientific more information about LATEX: is a web-bases LATEX system, meaning you can write your LATEX documentsin your web browser, you co-work and share documents with more information about Overleaf: BooksYou find other Python textbooks within different domains on my Python Webpage: Books.

3 Python Programming- This is a textbook in Python Programmingwith lots of Practical Examples and Exercises. You will learn the necessaryfoundation for basic programming with focus on Python . Python for Science and Engineering - This is a textbook in PythonProgramming with lots of Examples, Exercises, and Practical Applicationswithin Mathematics, Simulations, etc. The focus is on numerical calcu-lations in mathematics and Engineering . Necessary theory is presented inaddition to many practical examples. Python for Control Engineering - This is a textbook in Python Pro-gramming with lots of Examples, Exercises, and Practical Applicationswithin Mathematics, Simulations, Control Systems, DAQ, Database Sys-tems, etc.

4 The focus is on the use of Python within measurements, datacollection (DAQ), control technology, both analysis of control systems(stability analysis, frequency response, ..) and implementation of controlsystems (PID, etc.). Required theory is presented in addition to manypractical examples and exercises in Python . Python for Software Development- This is a textbook in Python Pro-gramming with lots of Examples, Exercises, and Practical Applicationswithin Software Systems, Software Development, Software Engineering ,Database Systems, Web Application Desktop Applications, GUI Applica-tions, etc.

5 The focus is on the use of Python for creating modern SoftwareSystems. Required theory is presented in addition to many practical ex-amples and exercises in way we create software today has changed dramatically the last 30 years,from the childhood of personal computers in the early 80s to today s powerfuldevices such as Smartphones, Tablets and Internet has also changed the way we use devices and software. We stillhave traditional desktop applications, but Web Sites, Web Applications and so-called Apps for Smartphones, etc. are dominating the software market need to find and learn Programming Languages that are suitable for theNew Age of have today several thousand different Programming Languages today.

6 Iguess you will need to learn more than one Programming Language to survivein today s software find lots of Programming Resources here: EngineeringSoftware Engineering is the discipline for creating software applications. Asystematic approach to the design, development, testing, and maintenance main parts or phases in the Software Engineering process are: Planning Requirements Analysis Design Implementation Testing Deployment and MaintenanceYou find lots of Software Engineering Resources here: Getting Started with Python131 The New Age of Programming.

7 MATLAB .. 182 What is Python ? Introduction to Python .. vs. Compiled .. Python Packages .. Packages for Science and Numerical Computations Anaconda .. Python Editors .. IDLE .. Studio Code .. Studio .. Python IDE .. Notebook .. Resources .. Installing Python .. Windows 10 Store App .. Anaconda .. Visual Studio Code .. 273 Start using Python IDE .. My first Python program .. Python Shell.

8 Running Python from the Console .. the Console on macOS .. the Console on Windows .. Python to Path .. Scripting Mode .. Python Scripts from the Python IDLE .. Python Scripts from the Console (Terminal) Python Scripts from the Command Prompt in Win-dows .. Python Scripts from Spyder .. 364 Basic Python Basic Python Program .. Help .. Variables .. Input .. Built-in Functions .. Python Standard Library .. Using Python Libraries, Packages and Modules.

9 Packages .. Plotting in Python .. 52II Python Programming535 Python If .. Else .. Arrays .. For Loops .. For Loops .. While Loops .. Exercises .. 616 Creating Functions in Introduction .. Functions with multiple return values .. Exercises .. 667 Creating Classes in Introduction .. Theinit() Function .. Exercises .. 738 Creating Python Python Modules .. Exercises .. 759 File Handling in Introduction.

10 Write Data to a File .. Read Data from a File .. Logging Data to File .. Web Resources .. Exercises .. 79710 Error Handling in Introduction to Error Handling .. Syntax Errors .. Exceptions .. Exceptions Handling .. 8311 Debugging in Python8512 Installing and using Python What is PIP? .. 86 III Python Environments and Distributions8713 Introduction to Python Environments and Package and Environment Managers .. PIP .. Conda.