By Charles Dierbach
Introduction to desktop technological know-how utilizing Python: A Computational Problem-Solving Focus introduces readers to programming and computational problem-solving through a back-to-basics, step by step, objects-late strategy that makes this e-book effortless to coach and study from. Readers are supplied with a radical conceptual grounding in computational challenge fixing prior to introducing them to express Python syntax, hence giving them the historical past to develop into winning programmers in any language. Dierbach additionally bargains readers a radical grounding in central programming sooner than introducing them to object-oriented programming. His step by step pedagogical process makes this an available and reader-friendly advent to programming that eases readers into program-writing via quite a few hands-on exercises.
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Extra resources for Introduction to Computer Science Using Python: A Computational Problem-Solving Focus
The data to be represented consist of numerical values, with the Drake equation as the algorithm. The overall steps of the program are depicted in Figure 1-33. 4 The Overall Steps of the Drake Equation Program Program Implementation The implementation of this program is fairly simple. The only programming elements needed are input, assignment, and print, along with the use of arithmetic operators. An implementation is given in Figure 1-34. Example execution of the program is given in Figure 1-35.
Syntax and semantics are important concepts that apply to all languages. The syntax of a language is a set of characters and the acceptable arrangements (sequences) of those characters. English, for example, includes the letters of the alphabet, punctuation, and properly spelled words and properly punctuated sentences. ” In this sentence, the sequence of letters “hao” is not a word in the English language. ” This sentence is syntactically correct, but is semantically incorrect, and thus has no meaning.
Testing is done incrementally as a program is being developed, when the program is complete, and when the program needs to be updated. In subsequent chapters, program testing and debugging will be discussed and expanded upon. For now, we provide the following general truisms of software development in Figure 1-25. F I GU RE 1-25 Truisms of Software Development 21 22 C H A P T E R 1 Introduction Truism 1 reflects the fact that programming errors are inevitable and that we must accept it. As a result of truism 1, truism 2 states the essential role of software testing.
Introduction to Computer Science Using Python: A Computational Problem-Solving Focus by Charles Dierbach