book

Intermediate Python

Name: Intermediate Python
Author: Oswald Campesato
ISBN: 9781501518386

by Oswald Campesato

August 2023

Intermediate to advanced

265 pages

3h 55m

English

Mercury Learning and Information

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Cover
Title Page
Copyright Page
Dedication
Contents
Preface
Chapter 1: Data Structures in Python
Working with ListsLists and Basic OperationsReversing and Sorting a ListLists and Arithmetic OperationsLists and Filter-Related OperationsCalculating Squares and Cubes in ListsSorting Lists of Numbers and StringsConcatenating a List of WordsThe Python range() FunctionCounting Digits and Uppercase and Lowercase LettersLists and the append() FunctionWorking with Lists and the split() FunctionCounting Words in a ListIterating Through Pairs of ListsList SlicesOther List-Related FunctionsWorking with VectorsWorking with MatricesQueuesTuples (Immutable Lists)SetsDictionariesCreating a DictionaryDisplaying the Contents of a DictionaryChecking for Keys in a DictionaryDeleting Keys from a DictionaryIterating Through a DictionaryInterpolating Data from a DictionaryDictionary Functions and MethodsOrdered DictionariesSorting DictionariesDictionary FormattingMultiple Dictionaries Other Sequence Types Mutable and Immutable Types Packing/Unpacking SequencesAutomatic Packing (Direct Assignment)Unpacking Return Values of FunctionsSwapping Pairs of ValuesIterating Sequences in LoopsSerialize and Deserialize DataModules versus PackagesUser-Defined FunctionsFunctions versus MethodsFunctions with Generic ArgumentsFunctions that Specify *argsFunctions that Specify **kwargsSummary
Chapter 2: Comprehensions, Iterators, and Generators
Lambda ExpressionsComprehensionsMagic Methods (Dunders)The Iterator ProtocolThe iter() Function and __iter__() MethodDictionaries and IteratorsExamples of IteratorsRange versus a ListFunctional Programming: the map() FunctionFunctional Programming: the filter() FunctionCombining the filter() and map() FunctionsThe reduce() FunctionWhat is a Pipe?Working with GeneratorsThe Yield KeywordGenerators and ComprehensionsA Generator Without a LoopMiscellaneous Examples of GeneratorsGenerate Squares of NumbersGenerate an Infinite List of IntegersFind Prime NumbersClosuresDecoratorsExamples of DecoratorsImporting Custom ModulesCompiled ModulesClasses, Functions, and Methods Function Annotations Function Annotations (1)Function Annotations (2)Function Annotations (3)Function Annotations (4)Function Annotations (5)Summary
Chapter 3: Regular Expressions
What are Regular Expressions?MetacharactersCharacter SetsWorking with “^” and “\”Character ClassesMatching Character Classes with the re ModuleCompilation FlagsUsing the re.match() MethodOptions for the re.match() MethodMatching Character Classes with the re.search() MethodMatching Character Classes with the findAll() MethodFinding Capitalized Words in a StringAdditional Matching Functions for Regular ExpressionsGrouping with Character Classes in Regular ExpressionsUsing Character Classes in Regular ExpressionsMatching Strings with Multiple Consecutive DigitsReversing Words in StringsModifying Text Strings with the re ModuleSplitting Text Strings with the re.split() MethodSplitting Text Strings Using Digits and DelimitersSubstituting Text Strings with the re.sub() MethodMatching the Beginning and End of Text StringsCompound Regular ExpressionsCounting Character Types in a StringRegular Expressions and GroupingSimple String MatchesAdditional Topics for Regular ExpressionsSummary
Chapter 4: Custom Classes
Accessibility Conventions Creating Custom ClassesInstance Variables versus Class VariablesExamples of Custom ClassesA Custom Class with an IteratorA Custom Class with an Invalid IteratorConstruction and Initialization of ObjectsAccessors and Mutators versus @propertyThe Methods __str__() and __repr__()Creating a Point3D Custom ClassComparing Two Instances of a Custom ClassThe Methods __add__() and __radd__()Creating an Employee Custom ClassWorking with a List of EmployeesA Python Iterable ClassWorking with Linked Lists Custom Classes and Linked ListsCustom Classes and DictionariesCustom Classes and Priority QueuesThe Base Classes of a Given ClassEncapsulationSingle InheritanceAn Example of InheritanceInheritance and Overriding MethodsMultiple InheritancePolymorphismThe abc ModuleSummary

Chapter 5: Queues and Stacks
What is a Queue?Types of QueuesCreating a Queue Using a Python ListCreating a Rolling QueueCreating a Shifting Queue using a ListCreating an Iterable QueueWhat is a Stack?Use Cases for StacksOperations with StacksWorking with StacksCreating an Iterable StackTask: Reverse and Print Stack ValuesTask: Display the Min and Max Stack ValuesCreating Two Stacks Using an ArrayTask: Reverse a String Using a StackTask: Balanced Parentheses (1)Task: Balanced Parentheses (2)Task: Tokenize Arithmetic ExpressionsTask: Evaluate Arithmetic ExpressionsInfix, Prefix, and Postfix NotationsSummary
Chapter 6: Recursion and Combinatorics
What is Recursion?Arithmetic SeriesCalculating an Arithmetic Series (Iterative)Calculating an Arithmetic Series (Recursive)Calculating a Partial Arithmetic SeriesGeometric SeriesCalculating a Geometric Series (Iterative)Calculating a Geometric Series (Recursive)Factorial ValuesCalculating Factorial Values (Iterative)Calculating Factorial Values (Recursive)Calculating Factorial Values (Tail Recursion)Fibonacci NumbersCalculating Fibonacci Numbers (Recursive)Calculating Fibonacci Numbers (Iterative)Task: Reverse a String via RecursionTask: Check for Balanced Parentheses (Iterative)Task: Calculate the Number of DigitsTask: Determine if a Positive Integer is Prime (Iterative)Task: Find the Prime Factorization of a Positive Integer (Iterative)Task: Goldbach’s ConjectureTask: Calculate the GCD (Greatest Common Divisor)Task: Calculate the LCMWhat is Combinatorics?Working with PermutationsWorking with CombinationsTask: Calculate the Sum of Binomial CoefficientsThe Number of Subsets of a Finite SetTask: Subsets Containing a Value Larger than kSummary
Index

Overview

This book provides relevant information about intermediate Python 3.x for a variety of topics, such as comprehensions, iterators, generators, regular expressions, OOP, queues and stacks, and recursion. Each chapter contains an assortment of code samples that illustrate the topics in the chapter material. It assumes the reader is already familiar with Python programming and wants to expand programming skills in order to use Python in a variety of subject areas and disciplines such as business, mathematics, science, and engineering. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and object-oriented programming. This book includes companion files with numerous code samples, figures, and applications from the text.

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