FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World


 Title 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
 ISBN10: N/A
 ISBN13: N/A
 Share This:
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 richmedia, 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 realworld problems with SciPy, NumPy, Pandas, scikitimage, and other Python libraries.
About the Authors N/A

SciPy Programming Succinctly (James McCaffrey)
This book offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices.

Programming for Computations  Python 3 Edition
This book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context.

Solving PDEs in Python: The FEniCS Tutorial I (H. Langtangen)
This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, it guides readers through the essential steps to quickly solving a PDE in FEniCS.

From Python to NumPy (Nicolas P. Rougier)
NumPy is one of the most important scientific computing libraries available for Python. This book teaches you how to achieve expert level competency to perform complex operations, with indepth coverage of advanced concepts.

Guide to NumPy (Travis E. Oliphant)
This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical computations with Python. It will give you a solid foundation in NumPy arrays and universal functions.

NumPy Tutorials (Usman Malik, Anne Bonner, et al)
They provide everything you need to know to get started with NumPy. They also explain the basics of NumPy such as its architecture and environment, discusses the various array functions, types of indexing, etc. With examples for better understanding.

Introduction to Scientific Programming with Python
This book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and examplebased, assuming little or no prior experience in programming.

Python Scripting for Computational Science (Hans Langtangen)
With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and humanefficient working environments built from small scripts written in the easytolearn, highlevel Python language.
:






















