1. A propos du cours
- Author : Hans-Petter Halvorsen
- Type : Textbook (PDF), ISBN 978-82-691106-4-7, last updated August 12, 2020
- Language : Français
- Lisence : Open educational resource, © Hans-Petter Halvorsen, distributed for educational use
2. Short description
The course Python Programming provides a comprehensive introduction to the Python language for beginners and intermediate learners. It covers data structures, object-oriented programming, modules, file handling, and practical scientific computing using libraries such as NumPy and Matplotlib.
3. Long description
The textbook Python Programming by Hans-Petter Halvorsen is a complete guide designed to help students, engineers, and researchers develop a solid foundation in Python. The material starts with the basics of syntax, variables, data types, and control structures such as if statements and loops. Step by step, it introduces more advanced concepts like functions, modules, and object-oriented programming.
A significant portion of the course focuses on practical applications in engineering and science. Learners discover how to use NumPy for numerical computing, Matplotlib for data visualization, and SciPy for scientific computation. Real-world examples demonstrate how Python can be used to analyze data, solve equations, simulate systems, and visualize results interactively.
The book also explores file management and data processing, enabling students to read, write, and manipulate various file formats. The author emphasizes structured programming and clean coding practices, encouraging readers to create modular and maintainable code. Several chapters are dedicated to debugging techniques and error handling to help students gain confidence in writing robust applications.
Advanced topics include the introduction of GUI programming with Tkinter, basic database access using SQLite3, and integration of Python with engineering tools such as Matlab and LabVIEW. Through progressive examples, the reader learns to automate tasks, build small applications, and understand the power of Python scripting in a professional context.
Each chapter contains clear explanations, code examples, and illustrations that make it easy to follow even for beginners. The course concludes with a section on best programming practices and an overview of modern Python environments such as Jupyter Notebook and Anaconda. By the end of the course, learners will be able to create, test, and deploy their own Python programs with confidence, ready to use their skills in research, academia, or industry.
3. Document preview
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