Download E-books Think Python: How to Think Like a Computer Scientist PDF

If you must find out how to software, operating with Python is a superb method to commence. This hands-on consultant takes you thru the language a step at a time, starting with simple programming suggestions prior to relocating directly to capabilities, recursion, information buildings, and object-oriented layout. This moment variation and its assisting code were up-to-date for Python 3.

Through routines in each one bankruptcy, you’ll test programming suggestions as you research them. imagine Python is perfect for college kids on the highschool or university point, in addition to self-learners, home-schooled scholars, and execs who have to examine programming fundamentals. rookies simply getting their ft rainy will the way to begin 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, capabilities, and knowledge constructions in a logical progression
  • Discover find out how to paintings with documents and databases
  • Understand items, equipment, and object-oriented programming
  • Use debugging recommendations to mend syntax, runtime, and semantic errors
  • Explore interface layout, info constructions, and GUI-based courses via case studies

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Any software so that you can release from the shell is usually introduced from Python utilizing a pipe. A pipe is an item that represents a working application. for instance, the Unix command ls -l often screens the contents of the present listing (in lengthy format). you could release ls with os. popen[1]: >>> cmd = 'ls -l' >>> fp = os. popen(cmd) The argument is a string that features a shell command. The go back worth is an item that behaves similar to an open dossier. you could learn the output from the ls technique one line at a time with readline or get the whole lot without delay with learn: >>> res = fp. read() while you are performed, you close up the pipe like a dossier: >>> stat = fp. close() >>> print stat None The go back worth is the ultimate prestige of the ls strategy; None implies that it ended quite often (with no errors). for instance, so much Unix structures offer a command known as md5sum that reads the contents of a dossier and computes a “checksum. ” you could examine MD5 at http://en. wikipedia. org/wiki/Md5. This command offers a good approach to fee no matter if records have a similar contents. The chance that diversified contents yield a similar checksum is especially small (that is, not likely to occur ahead of the universe collapses). you should use a pipe to run md5sum from Python and get the end result: >>> filename = 'book. tex' >>> cmd = 'md5sum ' + filename >>> fp = os. popen(cmd) >>> res = fp. read() >>> stat = fp. close() >>> print res 1e0033f0ed0656636de0d75144ba32e0 booklet. tex >>> print stat None workout 14-4. In a wide choice of MP3 records, there is multiple reproduction of an analogous tune, kept in several directories or with diversified dossier names. The objective of this workout is to look for duplicates. Write a application that searches a listing and all of its subdirectories, recursively, and returns a listing of whole paths for all documents with a given suffix (like . mp3). trace: os. direction presents numerous precious features for manipulating dossier and course names. to acknowledge duplicates, you should use md5sum to compute a “checksum” for every documents. If documents have a similar checksum, they most likely have an analogous contents. To double-check, you should use the Unix command diff. answer: http://thinkpython. com/code/find_duplicates. py. Writing Modules Any dossier that comprises Python code could be imported as a module. for instance, believe you might have a dossier named wc. py with the next code: def linecount(filename): count number = zero for line in open(filename): count number += 1 go back count number print linecount('wc. py') in case you run this software, it reads itself and prints the variety of traces within the dossier, that's 7. it's also possible to import it like this: >>> import wc 7 Now you've a module item wc: >>> print wc that gives a functionality known as linecount: >>> wc. linecount('wc. py') 7 So that’s the way you write modules in Python. the single challenge with this instance is that after you import the module it executes the try code on the backside. typically should you import a module, it defines new capabilities however it doesn’t execute them.

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