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

By Ted Herman

A sensible begin to Computing with Python allows scholars to fast study computing with no need to exploit loops, variables, and item abstractions first and foremost. Requiring no previous programming event, the booklet attracts on Python’s versatile info varieties and operations in addition to its ability for outlining new capabilities. besides the specifics of Python, the textual content covers very important recommendations of computing, together with software program engineering motivation, algorithms in the back of syntax ideas, complicated practical programming principles, and, in short, finite nation machines.

Taking a student-friendly, interactive method of educate computing, the e-book addresses tougher ideas and abstractions later within the textual content. the writer offers plentiful causes of information forms, operators, and expressions. He additionally describes comprehensions―the strong requirements of lists and dictionaries―before introducing loops and variables. This procedure is helping scholars higher comprehend task syntax and new release by way of giving them a psychological version of refined information first.

Web Resource
The book’s supplementary web site at http://functionalfirstpython.com/ presents 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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Extra resources for A functional start to computing with Python

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Dictionaries can mix types, except that keys cannot be lists or dictionaries. 9}} {{3:0,1:2}:'over', -30:'out'} { ('a','b'):0, (False,False,False):[] } { [3,4]:"box", 'e':14 } ✔ ✘ ✔ ✘ One unfortunate thing about Python is the way it reports errors. For the last example, marked with ✘ to indicate an error, Python reports the error as TypeError: list objects are unhashable which may not be very helpful without understanding deeply many details of the Python language. Thus, it is important to understand the rules for how types can be mixed; if you know the rules yourself, you can generally figure out what is wrong when Python complains, rather than rely on the cryptic way Python tries to tell you the reason for the error.

True 'T' 'storm' False (5, 6, True, 'so', 9) [ 'Take2', 100, 0 ] { 'ace':12, 'bottom':-3 } 25 ✐ ✐ ✐ ✐ ✐ ✐ “book” — 2013/6/21 — 16:18 ✐ 26 ✐ A Functional Start to Computing with Python Science is the systematic classification of experience. — George Henry Lewes Types are to computing what dimensional units are to physics and chemistry. In physics, units are grams, volts, joules, calories, and degrees, to name a few. In computing there are bits, bytes, terabytes, functions, records, and other nomenclature.

One answer is the concept of a “virtual platform,” an imaginary computer. Suppose we have a C compiler that produces object code for an imaginary computer, the MIX 1009 computer. Though nobody has ever built the MIX machine, it is possible to write a software tool called a virtual machine (VM) for the MIX. For example, there could be a MIX VM for a smartphone: its input is MIX object code, and what it does it to emulate the behavior of the MIX program on the smartphone. In other words, a VM “interprets” the object code for the MIX, using the underlying hardware of the smartphone.

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