Найти книгу: "Chemical and Biomedical Engineering Calculations Using Python"


Chemical and Biomedical Engineering Calculations Using Python Chemical and Biomedical Engineering Calculations Using Python

Автор: Jeffrey J. Heys

Год издания: 0000

Presents standard numerical approaches for solving common mathematical problems in engineering using Python. Covers the most common numerical calculations used by engineering students Covers Numerical Differentiation and Integration, Initial Value Problems, Boundary Value Problems, and Partial Differential Equations Focuses on open ended, real world problems that require students to write a short report/memo as part of the solution process Includes an electronic download of the Python codes presented in the book
Principles and Applications of Electrical Engineering Principles and Applications of Electrical Engineering

Автор: Giorgio Rizzoni

Год издания: 

Rizzoni is designed for the sophomore/junior level, Introduction to Electrical Engineering course required for non-EE majors. The most widely used book for this course, Rizzoni introduces non-majors to the three basic areas of electrical engineering: circuits, electronics, and electromechanics. The second edition continues the tradition of focusing on the topics and issues of interest to the non-electrical engineering student. To maintain student interest in these topics, Rizzoni provides numerous links between electrical engineering and other engineering fields.

Advanced Reservoir Engineering Advanced Reservoir Engineering

Автор: Ahmed T., McKinney P.D.

Год издания: 

Хорошая книга для инженеров-нефтяников. В книге подробно рассматриваются физические основы нефте и газо разработки.

Photoshop CS2 Raw: Using Adobe Camera Raw, Bridge, and Photoshop to Get the Most Out of Your Digital Camera Photoshop CS2 Raw: Using Adobe Camera Raw, Bridge, and Photoshop to Get the Most Out of Your Digital Camera

Автор: Aaland Mikkel

Год издания: 

The RAW file format is the uncompressed data file captured by a digital camera's electronic sensor. When your camera saves an image in RAW format, settings like white balance, sharpening, contrast and saturation are not applied to the image but are saved instead in a separate header. Because RAW files remain virtually untouched by in-camera processing, they are essentially the digital equivalent to exposed but undeveloped film. This makes RAW an increasingly popular format with amateur and professional digital photographers, because it affords greater flexibility and control during the editing process-if you know how to work with RAW files. Most digital camera manufacturers supply their own software for converting RAW data, as do some third party vendors. Increasingly, however, the RAW converter of choice is a plug-in included in the latest version of Adobe Photoshop, the most popular and widely-used digital image editing tool in the world. Adobe Photoshop CS2 is emerging as the best place to edit RAW images, and the best way to master this new format is with Photoshop CS2 RAW. An important book dedicated to working with RAW in Photoshop, this comprehensive guide features a unique design that helps readers grasp the subject through visual instruction and prompts. The entire RAW process is explored, from shooting to using the Adobe plug-in converter and new Bridge navigation software. The primary focus of Photoshop RAW is, as the title suggests, Photoshop editing technique: automating RAW workflow, correcting exposures, extending exposure range, manipulating grayscale and working with the new DNG (Digital Negative) open standard that Adobe supports. Presented by photographer Mikkel Aaland, a pioneer of digital photography and author of eight books, including O"Reilly"s Photoshop for the Web and the award-winning Shooting Digital, Photoshop CS2 RAW investigates and instructs in an accessible visual style. Required reading for professionals and dedicated photo hobbyists alike.

wxPython in Action wxPython in Action

Автор: Rappin Noel, Dunn Robin

Год издания: 

Единственная книга по программированию на wxPython - кроссплатформенной библиотеке виджетов, которая позволит Вам с легкостью писать программы, имеющие одинаковый код и одинаково выглядеть в Windows, Unix, Macintosh Because they are often large and complex, GUI programming tool kits can be hard to use. wxPython is a combination of the Python programming language and the wxWidgets toolkit, which allows programmers to create programs with a robust, highly functional graphical user interface, simply and easily. wxPython combines the power of an exceptionally complete user interface toolkit with an exceptionally flexible programming language. The result is a toolkit that is unique in the ease with which complex applications can be built and maintained. wxPython in Action is a complete guide to the wxPython toolkit, containing a tutorial for getting started, a guide to best practices, and a reference to wxPython's extensive widget set. After an easy introduction to wxPython concepts and programming practices, the book takes an in-depth tour of when and how to use the bountiful collection of widgets offered by wxPython. All features are illustrated with useful code examples and reference tables are included for handy lookup of an object's properties, methods, and events. The book enables developers to learn wxPython quickly and remains a valuable resource for futurework.

Язык программирования Python Язык программирования Python

Автор: Россум Г., Дрейк Ф.Л.Дж., Откидач Д.С.

Год издания: 

Python является простым и, в то же время, мощным интерпретируемым объектно-ориентированным языком программирования. Он предоставляет структуры данных высокого уровня, имеет изящный синтаксис и использует динамический контроль типов, что делает его идеальным языком для написания различных приложений, работающих на большинстве распространённых платформ. Книга содержит вводное руководство, которое может служить учебником для начинающих, и справочный материал с подробным описанием грамматики языка, встроенных возможностей и возможностей, предоставляемых модулями стандартной библиотеки. Описание охватывает наиболее распространённые версии Python: от 1.5.2 до 2.0.