• Title Python Scientific Lecture Notes (Scipy Lecture Notes)
• Author(s) Emmanuelle Gouillart, Olav Vahtras, Gaël Varoquaux
• Publisher: Scipy Lectures (Updated Continuously)
• License(s): CC BY 4.0
• Hardcover/Paperback N/A
• eBook HTML and PDF Files
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
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Book Description

This book consists of a set of is tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.

Beginning with general programming concepts such as loops and functions within the core Python language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of Python to build rich-media, shareable documents for scientific analysis.

Throughout the book, you'll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, you'll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries.

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• Amazon

• Python Programming
• Introduction to Computer Programming
• Data Structures and Algorithms
• Computational Complexity

• Python Scientific Lecture Notes (Scipy Lecture Notes)
• Source Code of Examples

• Programming for Computations - Python (Svein Linge, et al)
• Computational Physics with Python (Mark Newman)
• Python Scripting for Computational Science (Hans Langtangen)
• Computational Physics with Python (Eric Ayars)
• Solving PDEs in Python: The FEniCS Tutorial I (H. Langtangen)