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

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By Ted Herman

ISBN-10: 1466504552

ISBN-13: 9781466504554

A useful begin to Computing with Python permits scholars to fast study computing with no need to take advantage of loops, variables, and item abstractions in the beginning. Requiring no past programming event, the ebook attracts on Python’s versatile info forms and operations in addition to its potential for outlining new capabilities. besides the specifics of Python, the textual content covers vital options of computing, together with software program engineering motivation, algorithms in the back of syntax ideas, complex practical programming principles, and, in short, finite nation machines.

Taking a student-friendly, interactive method of train computing, the publication addresses tougher recommendations and abstractions later within the textual content. the writer offers plentiful motives of knowledge varieties, operators, and expressions. He additionally describes comprehensions―the strong necessities of lists and dictionaries―before introducing loops and variables. This technique is helping scholars higher comprehend task syntax and generation via giving them a psychological version of subtle information first.

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

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

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Extra info for A functional start to computing with Python

Sample text

In a real database, a key can have only one value with >>> {1:2, 1:9, 1:5, 2:10, 1:0} which it associates at any time, though as a database {1:0, 2:10} changes, the value may change. Python obeys this property, so dictionaries have only one value per key. You can see this properly in an interactive session with Python, shown to the left: Python took the keyboard input, which seemingly was a dictionary with five key/value items, but then found the key 1 has multiple values—which cannot be allowed.

Many IDEs have built-in awareness of programming language syntax, knowledge of the (perhaps vast) software libraries available with the language, and even features to automatically detect logical errors in what programs do. Using an IDE, a programmer might see lists of possible completions of words and phrases while typing, similar to auto-completion and spell-checking features of word processors. More than that, different Python keywords may have colors and fonts that make it easier to read and make sense of a program.

With all the good things to say about IDEs, there are limitations. For one, many of the intended ways of using Python are not graphical (using windows for output) and IDEs may not be able to run programs for certain environments. If a Python program controls a robot, the commands to turn wheels, lift an object, or inspect a camera image, then that may not work on a desktop IDE. Some aspects of an IDE, which initially seem positive, lose their attractiveness as users become progressively more expert with the language.

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A functional start to computing with Python by Ted Herman

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