Download A functional start to computing with Python by Ted Herman PDF

By Ted Herman

ISBN-10: 1466504552

ISBN-13: 9781466504554

A sensible begin to Computing with Python permits scholars to quick examine computing with no need to exploit loops, variables, and item abstractions initially. Requiring no earlier programming adventure, the ebook attracts on Python’s versatile facts forms and operations in addition to its capability for outlining new services. in addition to the specifics of Python, the textual content covers vital techniques of computing, together with software program engineering motivation, algorithms in the back of syntax ideas, complex practical programming principles, and, in short, finite country machines.

Taking a student-friendly, interactive method of train computing, the booklet addresses tougher suggestions and abstractions later within the textual content. the writer offers considerable motives of knowledge kinds, operators, and expressions. He additionally describes comprehensions―the strong standards of lists and dictionaries―before introducing loops and variables. This strategy is helping scholars greater comprehend project syntax and new release via giving them a psychological version of refined info first.

Web Resource
The book’s supplementary site at offers many ancillaries, including:

  • Interactive flashcards on Python language elements
  • Links to additional help for every chapter
  • Unit trying out and programming exercises
  • An interactive Python stepper tool
  • Chapter-by-chapter issues
  • Material for lectures

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Additional info for A functional start to computing with Python

Sample text

Nearly all programming languages suffer from imprecision when approximating real numbers, though some hide the imprecision more than others. Fortunately, for nearly all matters in this book, we will not be concerned with calculations involving floating point numbers. ✐ ✐ ✐ ✐ ✐ ✐ “book” — 2013/6/21 — 16:18 ✐ 30 ✐ A Functional Start to Computing with Python Other Numbers. Python has many other numeric types and notations for numbers: binary, hexadecimal, octal, fractions, decimal with fixed precision, and more are possible, but we can skip these for now in learning the language.

Advantages of using these branded distributions are many, but distributions evolve at a different pace from the language and if you learn Python using a customized distribution, it may be more difficult later to use Python in a different setting. org distribution. A few other ways Python programs may run depend on the kind of operating system. Especially for Unix/Linux, Python is called a scripting language. You can actually extend the vocabulary of system commands available from a console using Python programs; this kind of new command is a script .

That is not an easy question to answer; indeed, a significant part of any course on numerical analysis studies floating point round-off and conversion errors. Nearly all programming languages suffer from imprecision when approximating real numbers, though some hide the imprecision more than others. Fortunately, for nearly all matters in this book, we will not be concerned with calculations involving floating point numbers. ✐ ✐ ✐ ✐ ✐ ✐ “book” — 2013/6/21 — 16:18 ✐ 30 ✐ A Functional Start to Computing with Python Other Numbers.

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