By John V. Guttag
This e-book introduces scholars with very little previous programming adventure to the artwork of computational challenge fixing utilizing Python and diverse Python libraries, together with PyLab. It offers scholars with abilities that would permit them to make effective use of computational innovations, together with many of the instruments and strategies of «data technology» for utilizing computation to version and interpret info. The ebook relies on an MIT path (which turned the preferred path provided via MITs OpenCourseWare) and was once constructed to be used not just in a standard lecture room yet in an incredible open on-line path (or MOOC) provided by way of the pioneering MIT-Harvard collaboration edX.
Students are brought to Python and the fundamentals of programming within the context of such computational thoughts and strategies as exhaustive enumeration, bisection seek, and effective approximation algorithms. The e-book doesn't require wisdom of arithmetic past highschool algebra, yet does imagine that readers are ok with rigorous pondering and never intimidated via mathematical strategies. even though it covers such conventional subject matters as computational complexity and easy algorithms, the booklet specializes in quite a lot of themes no longer present in so much introductory texts, together with details visualization, simulations to version randomness, computational recommendations to appreciate facts, and statistical concepts that tell (and deceive) in addition to similar yet fairly complicated issues: optimization difficulties and dynamic programming. creation to Computation and Programming utilizing Python can function a stepping-stone to extra complex laptop technological know-how classes, or as a easy grounding in computational challenge fixing for college kids in different disciplines.
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Extra resources for Introduction to Computation and Programming Using Python, Revided & Expanded
IDLE is an application, just like any other application on your computer. , by double-clicking on an icon. IDLE provides • a text editor with syntax highlighting, autocompletion, and smart indentation, • a shell with syntax highlighting, and • an integrated debugger, which you should ignore for now. When IDLE starts it will open a shell window into which you can type Python commands. It will also provide you with a file menu and an edit menu (as well as some other menus, which you can safely ignore for now).
If no such pair of integers exists, it should print a message to that effect. 2 For Loops The while loops we have used so far are highly stylized. Each iterates over a sequence of integers. Python provides a language mechanism, the for loop, that can be used to simplify programs containing this kind of iteration. The general form of a for statement is (recall that the words in italics are descriptions of what can appear, not actual code): for variable in sequence: code block The variable following for is bound to the first value in the sequence, and the code block is executed.
In a theoretical sense, it is as powerful as you will ever need. Such languages are called Turing complete. This means that if a problem can be solved via computation, it can be solved using only those statements you have already seen. Which isn’t to say that you should use only these statements. At this point we have covered a lot of language mechanisms, but the code has been a single sequence of instructions, all merged together. 1. 1 Using bisection search to approximate square root This is a reasonable piece of code, but it lacks general utility.