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A Primer on Scientific Programming with Python (3rd Edition)
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.
Beginning Python: From Novice to Professional
Beginning Python: From Novice to Professional is the most comprehensive book on the Python ever written. Based on Practical Python, this newly-revised book is both an introduction and practical reference for a swath of Python-related programming topics, including addressing language internals, database integration, network programming, and web services. Advanced topics, such as extending Python and packaging/distributing Python applications, are also covered.
Ten different projects illustrate the concepts introduced in the book. You will learn how to create a P2P file-sharing application and a web-based bulletin board, and how to remotely edit web-based documents and create games. Author Magnus Lie Hetland is an authority on Python and previously authored Practical Python. He also authored the popular online guide, Instant Python Hacking, on which both books are based.
Data Structures and Algorithms with Python
This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity is also introduced, demonstrating what can and cannot be computed efficiently so that the programmer can make informed judgements about the algorithms they use. Features: includes both introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses provided in the preface; provides learning goals, review questions and programming exercises in each chapter, as well as numerous illustrative examples; offers downloadable programs and supplementary files at an associated website, with instructor materials available from the author; presents a primer on Python for those from a different language background.
Dive Into Python 3
Mark Pilgrim's Dive Into Python 3 is a hands-on guide to Python 3 and its differences from Python 2. As in the original book, Dive Into Python, each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.
This book includes:
Example programs completely rewritten to illustrate powerful new concepts now available in Python 3: sets, iterators, generators, closures, comprehensions, and much more
A detailed case study of porting a major library from Python 2 to Python 3
A comprehensive appendix of all the syntactic and semantic changes in Python 3
This is the perfect resource for you if you need to port applications to Python 3, or if you like to jump into languages fast and get going right away.
Python 3 for Absolute Beginners
There are many more people who want to study programming other than aspiring computer scientists with a passing grade in advanced calculus. This guide appeals to your intelligence and ability to solve practical problems, while gently teaching the most recent revision of the programming language Python.
You can learn solid software design skills and accomplish practical programming tasks, like extending applications and automating everyday processes, even if you have no programming experience at all. Authors Tim Hall and J–P Stacey use everyday language to decode programming jargon and teach Python 3 to the absolute beginner.
What you'll learn
Cultivate a problem–solving approach and acquire software design skills.
Learn how to create your own software from simple “Hello World”-type programs to stand–alone windowed applications.
Document while programming, program while documenting.
Decode programmers’ jargon.
Master the Python 3 programming language.
Who this book is for
Non–programmers who want to learn Python programming without taking a detour via a computer science department.
Python and Matplotlib Essentials for Scientists and Engineers
This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page. Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download at the companion website pythonessentials.com. Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.
Python Scripting for Computational Science (2nd Edition)
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 human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.
The Python Quick Syntax Reference
The Python Quick Syntax Reference is the "go to" book that contains an easy to read and use guide to Python programming and development. This condensed code and syntax reference presents the Python language in a well-organized format designed to be used time and again.
You won't find jargon, bloated samples, case studies, or history of Hello World and computer theory in this handy reference. This Python syntax reference is packed with useful information and is a must-have for any Python developer.
A Primer on Scientific Programming with Python (3rd Edition).pdf
(7.57 MB, 需要: 2 个论坛币)
Beginning Python From Novice to Professional.pdf
(3.74 MB, 需要: 2 个论坛币)
Data Structures and Algorithms with Python.pdf
(12.82 MB, 需要: 2 个论坛币)
Dive Into Python 3.pdf
(3.72 MB, 需要: 2 个论坛币)
Python 3 for Absolute Beginners.pdf
(1.96 MB, 需要: 2 个论坛币)
Python and Matplotlib Essentials for Scientists and Engineers.pdf
(13.58 MB, 需要: 2 个论坛币)
Python Scripting for Computational Science (2nd Edition).pdf
(4.92 MB, 需要: 2 个论坛币)
The Python Quick Syntax Reference.pdf
(1.17 MB, 需要: 2 个论坛币)
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