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LEARNING PYTHON, 5TH EDITION POWERFUL OBJECT-ORIENTED PROGRAMMING
NRS 2560.00
 
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LEARNING PYTHON, 5TH EDITION POWERFUL OBJECT-ORIENTED PROGRAMMING
Get a comprehensive, in-depth introduction to the core python language with this hands-on book. based on author mark lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with python. it’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both python 2.7 and 3.3— the latest releases in the 3.x and 2.x lines—plus all other releases in common use today. you’ll also learn some advanced language features that recently have become more common in python code. explore python’s major built-in object types such as numbers, lists, and dictionaries create and process objects with python statements, and learn python’s general syntax model use functions to avoid code redundancy and package code for reuse organize statements, functions, and other tools into larger components with modules dive into classes: python’s object-oriented programming tool for structuring code write large programs with python’s exception-handling model and development tools learn advanced python tools, including decorators, descriptors, metaclasses, and unicode processing about the author mark lutz is a leading python trainer, the author of python’s earliest and best-selling texts, and a pioneering figure in the python world. mark is the author of the three o’reilly books: learning python, programming python, and python pocket reference, all currently in fourth or fifth editions. he has been using and promoting python since 1992, started writing python books in 1995, and began teaching python classes in 1997. as of spring 2013, mark has instructed 260 python training sessions, taught roughly 4,000 students in live classes, and written python books that have sold 400,000 units and been translated to at least a dozen languages. together, his two decades of python efforts have helped to establish it as one of the most widely used programming languages in the world today. in addition, mark has been in the software field for 30 years. he holds bs and ms degrees in computer science from the university of wisconsin where he explored implementations of the prolog language, and over his career has worked as a professional software developer on compilers, programming tools, scripting applications, and assorted client/server systems. table of contents: getting started chapter 1 a python q&a;session why do people use python? is python a “scripting language”? ok, but what’s the downside? who uses python today? what can i do with python? how is python developed and supported? what are python’s technical strengths? how does python stack up to language x? chapter summary test your knowledge: quiz test your knowledge: answers chapter 2 how python runs programs introducing the python interpreter program execution execution model variations chapter summary test your knowledge: quiz test your knowledge: answers chapter 3 how you run programs the interactive prompt system command lines and files unix-style executable scripts: #! clicking file icons module imports and reloads using exec to run module files the idle user interface other ides other launch options which option should i use? chapter summary test your knowledge: quiz test your knowledge: answers test your knowledge: part i exercises types and operations chapter 4 introducing python object types the python conceptual hierarchy why use built-in types? python’s core data types numbers strings lists dictionaries tuples files other core types chapter summary test your knowledge: quiz test your knowledge: answers chapter 5 numeric types numeric type basics numbers in action other numeric types numeric extensions chapter summary test your knowledge: quiz test your knowledge: answers chapter 6 the dynamic typing interlude the case of the missing declaration statements shared references dynamic typing is everywhere chapter summary test your knowledge: quiz test your knowledge: answers chapter 7 string fundamentals this chapter’s scope string basics string literals strings in action string methods string formatting expressions string formatting method calls general type categories chapter summary test your knowledge: quiz test your knowledge: answers chapter 8 lists and dictionaries lists lists in action dictionaries dictionaries in action chapter summary test your knowledge: quiz test your knowledge: answers chapter 9 tuples, files, and everything else tuples files core types review and summary built-in type gotchas chapter summary test your knowledge: quiz test your knowledge: answers test your knowledge: part ii exercises statements and syntax chapter 10 introducing python statements the python conceptual hierarchy revisited python’s statements a tale of two ifs a quick example: interactive loops chapter summary test your knowledge: quiz test your knowledge: answers chapter 11 assignments, expressions, and prints assignment statements expression statements print operations chapter summary test your knowledge: quiz test your knowledge: answers chapter 12 if tests and syntax rules if statements python syntax revisited truth values and boolean tests the if/else ternary expression chapter summary test your knowledge: quiz test your knowledge: answers chapter 13 while and for loops while loops break, continue, pass, and the loop else for loops loop coding techniques chapter summary test your knowledge: quiz test your knowledge: answers chapter 14 iterations and comprehensions iterations: a first look list comprehensions: a first detailed look other iteration contexts new iterables in python 3.x other iteration topics chapter summary test your knowledge: quiz test your knowledge: answers chapter 15 the documentation interlude python documentation sources common coding gotchas chapter summary test your knowledge: quiz test your knowledge: answers test your knowledge: part iii exercises functions and generators chapter 16 function basics why use functions? coding functions a first example: definitions and calls a second example: intersecting sequences chapter summary test your knowledge: quiz test your knowledge: answers chapter 17 scopes python scope basics the global statement scopes and nested functions the nonlocal statement in 3.x why nonlocal? state retention options chapter summary test your knowledge: quiz test your knowledge: answers chapter 18 arguments argument-passing basics special argument-matching modes the min wakeup call! generalized set functions emulating the python 3.x print function chapter summary test your knowledge: quiz test your knowledge: answers chapter 19 advanced function topics function design concepts recursive functions function objects: attributes and annotations anonymous functions: lambda functional programming tools chapter summary test your knowledge: quiz test your knowledge: answers chapter 20 comprehensions and generations list comprehensions and functional tools generator functions and expressions comprehension syntax summary chapter summary test your knowledge: quiz test your knowledge: answers chapter 21 the benchmarking interlude timing iteration alternatives timing iterations and pythons with timeit other benchmarking topics: pystones function gotchas chapter summary test your knowledge: quiz test your knowledge: answers test your knowledge: part iv exercises modules and packages chapter 22 modules: the big picture why use modules? python program architecture how imports work byte code files: __pycache__ in python 3.2+ the module search path chapter summary test your knowledge: quiz test your knowledge: answers chapter 23 module coding basics module creation module usage module namespaces reloading modules chapter summary test your knowledge: quiz test your knowledge: answers chapter 24 module packages package import basics package import example why use package imports? package relative imports python 3.3 namespace packages chapter summary test your knowledge: quiz test your knowledge: answers chapter 25 advanced module topics module design concepts data hiding in modules enabling future language features: __future__ mixed usage modes: __name__ and __main__ example: dual mode code changing the module search path the as extension for import and from example: modules are objects importing modules by name string example: transitive module reloads module gotchas chapter summary test your knowledge: quiz test your knowledge: answers test your knowledge: part v exercises classes and oop chapter 26 oop: the big picture why use classes? oop from 30,000 feet chapter summary test your knowledge: quiz test your knowledge: answers chapter 27 class coding basics classes generate multiple instance objects classes are customized by inheritance classes can intercept python operators the world’s simplest python class chapter summary test your knowledge: quiz test your knowledge: answers chapter 28 a more realistic example step 1: making instances step 2: adding behavior methods step 3: operator overloading step 4: customizing behavior by subclassing step 5: customizing constructors, too step 6: using introspection tools step 7 (final): storing objects in a database future directions chapter summary test your knowledge: quiz test your knowledge: answers chapter 29 class coding details the class statement methods inheritance namespaces: the conclusion documentation strings revisited classes versus modules chapter summary test your knowledge: quiz test your knowledge: answers chapter 30 operator overloading the basics indexing and slicing: __getitem__ and __setitem__ index iteration: __getitem__ iterable objects: __iter__ and __next__ membership: __contains__, __iter__, and __getitem__ attribute access: __getattr__ and __setattr__ string representation: __repr__ and __str__ right-side and in-place uses: __radd__ and __iadd__ call expressions: __call__ comparisons: __lt__, __gt__, and others boolean tests: __bool__ and __len__ object destruction: __del__ chapter summary test your knowledge: quiz test your knowledge: answers chapter 31 designing with classes python and oop oop and inheritance: “is-a” relationships oop and composition: “has-a” relationships oop and delegation: “wrapper” proxy objects pseudoprivate class attributes methods are objects: bound or unbound classes are objects: generic object factories multiple inheritance: “mix-in” classes other design-related topics chapter summary test your knowledge: quiz test your knowledge: answers chapter 32 advanced class topics extending built-in types the “new style” class model new-style class changes new-style class extensions static and class methods decorators and metaclasses: part 1 the super built-in function: for better or worse? class gotchas chapter summary test your knowledge: quiz test your knowledge: answers test your knowledge: part vi exercises exceptions and tools chapter 33 exception basics why use exceptions? exceptions: the short story chapter summary test your knowledge: quiz test your knowledge: answers chapter 34 exception coding details the try/except/else statement the try/finally statement unified try/except/finally the raise statement the assert statement with/as context managers chapter summary test your knowledge: quiz test your knowledge: answers chapter 35 exception objects exceptions: back to the future why exception hierarchies? built-in exception classes custom print displays custom data and behavior chapter summary test your knowledge: quiz test your knowledge: answers chapter 36 designing with exceptions nesting exception handlers exception idioms exception design tips and gotchas core language summary chapter summary test your knowledge: quiz test your knowledge: answers test your knowledge: part vii exercises advanced topics chapter 37 unicode and byte strings string changes in 3.x string basics coding basic strings coding unicode strings using 3.x bytes objects using 3.x/2.6+ bytearray objects using text and binary files using unicode files other string tool changes in 3.x chapter summary test your knowledge: quiz test your knowledge: answers chapter 38 managed attributes why manage attributes? properties descriptors __getattr__ and __getattribute__ example: attribute validations chapter summary test your knowledge: quiz chapter 39 decorators what’s a decorator? the basics coding function decorators coding class decorators managing functions and classes directly example: “private” and “public” attributes example: validating function arguments chapter summary test your knowledge: quiz test your knowledge: answers chapter 40 metaclasses to metaclass or not to metaclass the metaclass model declaring metaclasses coding metaclasses inheritance and instance metaclass methods example: adding methods to classes example: applying decorators to methods chapter summary test your knowledge: quiz test your knowledge: answers chapter 41 all good things the python paradox where to go from here encore: print your own completion certificate! appendixes appendix installation and configuration installing the python interpreter configuring python for more help appendix the python 3.3 windows launcher the unix legacy the windows legacy introducing the new windows launcher a windows launcher tutorial pitfalls of the new windows launcher conclusions: a net win for windows appendix python changes and this book major 2.x/3.x differences general remarks: 3.x changes fifth edition python changes: 2.7, 3.2, 3.3 fourth edition python changes: 2.6, 3.0, 3.1 third edition python changes: 2.3, 2.4, 2.5 earlier and later python changes appendix solutions to end-of-part exercises part i, getting started part ii, types and operations part iii, statements and syntax part iv, functions and generators part v, modules and packages part vi, classes and oop part vii, exceptions and tools

Author : Mark lutz
Publication : Oreilly
Isbn : 9789351102014
Store book number : 105
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