By John V. Guttag
This e-book introduces scholars with very little past programming event to the artwork of computational challenge fixing utilizing Python and numerous Python libraries, together with PyLab. It offers scholars with abilities that would allow them to make efficient use of computational concepts, together with a number of the instruments and strategies of «data technological know-how» for utilizing computation to version and interpret info. The ebook is predicated on an MIT path (which turned the most well-liked path provided via MITs OpenCourseWare) and was once built to be used not just in a traditional school room yet in an enormous open on-line direction (or MOOC) provided via the pioneering MIT-Harvard collaboration edX.
Students are brought to Python and the fundamentals of programming within the context of such computational options and methods as exhaustive enumeration, bisection seek, and effective approximation algorithms. The booklet doesn't require wisdom of arithmetic past highschool algebra, yet does think that readers are pleased with rigorous considering and never intimidated by means of mathematical techniques. even though it covers such conventional themes as computational complexity and easy algorithms, the booklet makes a speciality of a variety of issues no longer present in so much introductory texts, together with details visualization, simulations to version randomness, computational options to appreciate info, and statistical concepts that tell (and deceive) in addition to comparable yet rather complex issues: optimization difficulties and dynamic programming. creation to Computation and Programming utilizing Python can function a stepping-stone to extra complex desktop technology classes, or as a uncomplicated grounding in computational challenge fixing for college kids in different disciplines.
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Additional info for Introduction to Computation and Programming Using Python, Revided & Expanded
This leads one to think that the name IDLE is a pun on Eric Idle, a member of the troupe. 13 14 Chapter 2. html. 2 Branching Programs The kinds of computations we have been looking at thus far are called straightline programs. They execute one statement after another in the order in which they appear, and stop when they run out of statements. The kinds of computations we can describe with straight-line programs are not very interesting. In fact, they are downright boring. Branching programs are more interesting.
Fortunately, we need only one more programming language construct, iteration, to be able to write programs of arbitrary complexity. 4. Finger exercise: Write a program that examines three variables—x, y, and z— and prints the largest odd number among them. If none of them are odd, it should print a message to that effect. , 'abc' or "abc". The literal '123' denotes a string of characters, not the number one hundred twenty-three. Try typing the following expressions in to the Python interpreter (remember that the >>> is a prompt, not something that you type): >>> >>> >>> >>> >>> 'a' 3*4 3*'a' 3+4 'a'+'a' The operator + is said to be overloaded: It has different meanings depending upon the types of the objects to which it is applied.
1 Using exhaustive enumeration to find the cube root For what values of x will this program terminate? ” This can be argued quite simply. • The value of the expression ans**3 starts at 0, and gets larger each time through the loop. • When it reaches or exceeds abs(x), the loop terminates. • Since abs(x) is always positive there are only a finite number of iterations before the loop must terminate. Whenever you write a loop, you should think about an appropriate decrementing function. This is a function that has the following properties: 1.