The Practice of Computing Using Python, plus MyProgrammingLab with Pearson eText -- Access Card ISBN View all copies of The Practice of Computing Using Python (2nd Edition) from US$ ISBN X ISBN Publisher. The Practice of Computing Using Python William F. Punch, Richard Enbody Publisher: Pearson. The Practice of Computing Using Python, 2nd edition.
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Textbook Solutions. Computer system tools include the hardware and the software. In particular, they include the programming language and the programming language tools through which the developer ultimately controls the different system components.
The abstract tools that computer scientists use are the computational thinking skills, based on logic and mathematics, that are necessary to describe problems, tasks, and processes through the lens of abstraction and computation. In order to be able to do this, we need to master a language of abstraction and computation.
The best way to do this, of course, is to master a programming language. In effect, the programming language is the glue that connects the system and the abstract tools of a developer. That is why mastery of a programming language is the core skill of a computer scientist. While small, it is broad enough to start doing interesting things right away.
We begin by using Python as a calculator that evaluates algebraic expressions. Finally we show how Python works with values other than numbers: values to represent logical values true and false, text values, and lists of values. This idea of abstracting important properties is a central one in computer science to which we come back several times.
In addition to the core, built-in data types, Python comes with a large library of additional types organized into modules. Since list pets contains string objects, the order will be lexicographical i. Since strings and integers cannot be compared, the list cannot be sorted and an error would occur. Check it.
Our presentation has been informal to emphasize the often-intuitive approach Python uses to manipulate values. Intuition takes us only so far, though. At this point, we step back for a moment to understand more formally what we mean by a type, and by operators and methods supported by the type.
In Python, every value, whether a simple integer value such as 3 or a more complex value such as the string 'Hello, World! The container idea captures the motivation behind objects. The actual representation and processing of, say, integer values on a computer system is quite complicated.
Doing arithmetic with integer values, however, is quite straightforward. Objects are containers for values, integer or other, that hide the complexity of integer storage and processing and provide the programmer with the only the information that she needs: the value of the object and what kind of operations can be applied to it.
Practice Problem 2.
We illustrate this in Figure 2. Figure 2. Illustrated are four objects of different types.
Each object has a type and a value. A variable is just a name. Only the object it refers to has a type. We emphasize currently because the type of object that a refers to may change. For example, if we assign 3. In programming languages other than Python, values of certain Section 2.
The term class is used to refer to types whose values are stored in objects. Because every value in Python is stored in an object, every Python type is a class.