Think Python: How to Think Like a Computer Scientist

If you must the best way to application, operating with Python is a wonderful technique to begin. This hands-on advisor takes you thru the language a step at a time, starting with simple programming strategies earlier than relocating directly to features, recursion, facts buildings, and object-oriented layout. This moment version and its assisting code were up to date for Python 3.

Through routines in each one bankruptcy, you’ll try programming suggestions as you study them. imagine Python is perfect for college students on the highschool or collage point, in addition to self-learners, home-schooled scholars, and pros who have to study programming fundamentals. newbies simply getting their ft rainy will commence with Python in a browser.

  • Start with the fundamentals, together with language syntax and semantics
  • Get a transparent definition of every programming concept
  • Learn approximately values, variables, statements, features, and information buildings in a logical progression
  • Discover how you can paintings with documents and databases
  • Understand gadgets, equipment, and object-oriented programming
  • Use debugging ideas to mend syntax, runtime, and semantic errors
  • Explore interface layout, info constructions, and GUI-based courses via case studies

Show description

Quick preview of Think Python: How to Think Like a Computer Scientist PDF

Similar Technology books

Effective Ruby: 48 Specific Ways to Write Better Ruby (Effective Software Development Series)

If you’re an skilled Ruby programmer, potent Ruby might help you harness Ruby’s complete energy to write down extra strong, effective, maintainable, and well-performing code. Drawing on approximately a decade of Ruby event, Peter J. Jones brings jointly forty eight Ruby most sensible practices, specialist assistance, and shortcuts—all supported via real looking code examples.

The Singularity Is Near: When Humans Transcend Biology

For over 3 a long time, Ray Kurzweil has been the most revered and provocative advocates of the position of know-how in our destiny. In his vintage The Age of non secular Machines, he argued that desktops may quickly rival the complete variety of human intelligence at its top. Now he examines the next move during this inexorable evolutionary technique: the union of human and computing device, within which the information and abilities embedded in our brains can be mixed with the greatly better capability, velocity, and knowledge-sharing skill of our creations.

Return From the Stars

Hal Bregg is an astronaut who returns from an area venture within which merely 10 organic years have handed for him, whereas 127 years have elapsed on the earth. He unearths that the Earth has replaced past popularity, packed with humans who've been medically neutralized. How does an astronaut sign up for a civilization that shuns chance?

The Shock of the Old: Technology and Global History since 1900

From the books of H. G. Wells to the click releases of NASA, we're awash in clichéd claims approximately excessive technology's skill to alter the process background. Now, within the surprise of the outdated, David Edgerton deals a startling new and clean mind set concerning the heritage of expertise, noticeably revising our rules concerning the interplay of know-how and society some time past and within the current.

Additional info for Think Python: How to Think Like a Computer Scientist

Show sample text content

Video games are an seen instance, yet there are extra. creating a application actually nondeterministic seems to be now not really easy, yet there are methods to make it at the least look nondeterministic. one in every of them is to exploit algorithms that generate pseudorandom numbers. Pseudorandom numbers should not really random simply because they're generated through a deterministic computation, yet simply by the numbers it's all yet most unlikely to differentiate them from random. The random module offers capabilities that generate pseudorandom numbers (which i'll easily name “random” from the following on). The functionality random returns a random go with the flow among zero. zero and 1. zero (including zero. zero yet now not 1. 0). at any time when you name random, you get the following quantity in a protracted sequence. to work out a pattern, run this loop: import random for i in range(10): x = random. random() print x The functionality randint takes parameters high and low and returns an integer among high and low (including both). >>> random. randint(5, 10) five >>> random. randint(5, 10) nine to decide on a component from a chain at random, you should use selection: >>> t = [1, 2, three] >>> random. choice(t) 2 >>> random. choice(t) three The random module additionally presents services to generate random values from non-stop distributions together with Gaussian, exponential, gamma, and some extra. workout 13-5. Write a functionality named choose_from_hist that takes a histogram as outlined in Dictionary as a collection of Counters and returns a random worth from the histogram, selected with likelihood in share to frequency. for instance, for this histogram: >>> t = ['a', 'a', 'b'] >>> hist = histogram(t) >>> print hist {'a': 2, 'b': 1} your functionality should still go back ’a’ with likelihood 2/3 and ’b’ with likelihood third. observe Histogram you want to try the former routines ahead of you cross on. you could obtain my resolution from http://thinkpython. com/code/analyze_book. py. additionally, you will desire http://thinkpython. com/code/emma. txt. here's a software that reads a dossier and builds a histogram of the phrases within the dossier: import string def process_file(filename): hist = dict() fp = open(filename) for line in fp: process_line(line, hist) go back hist def process_line(line, hist): line = line. replace('-', ' ') for observe in line. split(): observe = notice. strip(string. punctuation + string. whitespace) note = note. lower() hist[word] = hist. get(word, zero) + 1 hist = process_file('emma. txt') This software reads emma. txt, which incorporates the textual content of Emma through Jane Austen. process_file loops during the traces of the dossier, passing them one by one to process_line. The histogram hist is getting used as an accumulator. process_line makes use of the string procedure substitute to switch hyphens with areas sooner than utilizing cut up to wreck the road right into a record of strings. It traverses the checklist of phrases and makes use of strip and decrease to take away punctuation and convert to decrease case. (It is a shorthand to claim that strings are “converted;” keep in mind that string are immutable, so tools like strip and decrease go back new strings. ) eventually, process_line updates the histogram through making a new merchandise or incrementing an latest one.

Download PDF sample

Rated 4.71 of 5 – based on 11 votes