A Concise Introduction to Programming in Python by Mark J. Johnson PDF

By Mark J. Johnson

ISBN-10: 1439896941

ISBN-13: 9781439896945

ISBN-10: 143989695X

ISBN-13: 9781439896952

Compatible for rookies to desktop technology, A Concise creation to Programming in Python presents a succinct, but whole, first path in laptop technology utilizing the Python programming language.

The publication features:

brief, modular chapters with short and targeted causes, meant for one classification period
Early creation of simple procedural constructs comparable to capabilities, choice, and repetition, letting them be used in the course of the course
gadgets are brought in the course of the direction, and sophistication layout comes towards the end
Examples, workouts, and tasks from quite a lot of program domain names, together with biology, physics, photos, sound, arithmetic, video games, and textual analysis
No exterior libraries are required, simplifying the book’s use in universal lab spaces

every one bankruptcy introduces a first-rate inspiration via a concrete instance and a chain of workouts. Designed to educate programming in a concise, but entire means, this publication presents a well timed advent for college kids and somebody attracted to studying Python.

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Additional info for A Concise Introduction to Programming in Python

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1 and describe the scope of each. py that prints a short quote of your choice exactly one thousand times. You do not need to use any functions other than main(). py that prints a table of values of n and 2n for n = 1, 2, . . , 10. Do these values look familiar? You do not need to use any functions other than main(). py that prints a table of values of n, log n, n log n, n2 , and 2n for n = 10, 20, . . , 200. The log function is in the math Repetition: For Loops 23 module. You do not need to use any functions other than main().

Sep=s) Print with string s at end instead of newline. Print with string s between expressions. Both options may be set at the same time. 1. One reason might be its use of several functions, another could be the while loop in smallestdivisor(). Tracing code by hand can help overcome both of these difficulties. When we trace code by hand, we try to simulate on paper what the interpreter is asking the CPU to do. Repetition: While Loops 43 For example, we might trace the evaluation of isprime(9) like this: isprime(9) → smallestdivisor(9) → divides(2, 9) → divides(3, 9) returns 3 returns F returns F returns T To follow the operation of smallestdivisor(), it may also be helpful to track the values of its variables, like this for the call smallestdivisor(25): n k 25 2 3 4 5 Returns 5 There is nothing special about these ways of writing the traces; the point is just to find a helpful way of simulating the program’s execution.

The key to systematic debugging is to take advantage of the fact that programming is one of the few disciplines that offers quick and accurate feedback to your problem-solving efforts. Imagine a math problem that told you whether you had solved it or not—essentially, that is what a computer does every time you run a program. Here is one way1 to systematically debug a program: Experience what the program does when it runs. In other words, pay attention to the program’s behavior. This step sounds obvious, but it is easy to overlook and is a necessary precondition to making intentional progress.

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A Concise Introduction to Programming in Python by Mark J. Johnson


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