book

Python for Absolute Beginners

Name: Python for Absolute Beginners
Author: OSWALD CAMPESATO
ISBN: 9781501518690

by OSWALD CAMPESATO

October 2023

Beginner to intermediate

215 pages

4h 3m

English

Mercury Learning and Information

Read now

Unlock full access

Cover
Title Page
Copyright Page
Dedication
Contents
Preface
Chapter 1: Introduction to Python
Tools for Pythoneasy_install and pipvirtualenvPython InstallationSetting the PATH Environment Variable (Windows Only)Launching Python on Your MachineThe Python Interactive InterpreterPython IdentifiersLines, Indentations, and Multi-LinesQuotation Marks and CommentsSaving Your Code in a ModuleSome Standard ModulesThe help() and dir() FunctionsCompile Time and Runtime Code CheckingFormatting TechniquesWorking with f-stringsWorking with StringsComparing StringsFormatting StringsSummary
Chapter 2: String Operations
Working with StringsFormatting StringsSlicing and Splicing StringsTesting for Digits and Alphabetic CharactersSearch For and Replace a String in Other StringsRemove Leading and Trailing CharactersPrinting Text without NewLine CharactersWorking with DatesConverting Strings to DatesException HandlingHandling User InputCommand-Line Arguments (optional)Summary
Chapter 3: Working with Loops
Precedence of OperatorsReserved WordsWorking with ListsLists and Basic OperationsReversing and Sorting a ListWorking with LoopsPython for LoopsA for Loop with try/exceptFlatten a List of ListsNumeric Exponents in PythonNested Loopswhile LoopsCount the Number of Digits in NumbersCount the Number of Digits in a Positive IntegerUsing a while Loop to Find the Divisors of a NumberUsing a while Loop to Find Prime NumbersAssigning Values to Multiple VariablesThe break/continue/pass StatementsBasic List ComprehensionsWorking with List ComprehensionsLists and Filter-related OperationsSummary
Chapter 4: Conditional Logic
Conditional LogicChecking for Leap YearsComparison and Boolean OperatorsThe in/not in/is/is not Comparison OperatorsThe and, or, and not Boolean OperatorsLocal and Global VariablesUninitialized Variables and the Value NoneScope of VariablesPassing by Reference versus by ValueArguments and ParametersSummary

Chapter 5: Built-in Functions
Functions and MethodsBuilt-in FunctionsThe split(), join(), and range() FunctionsThe join() FunctionThe range() FunctionThe char ClassUser-defined FunctionsThe return Statement in Python FunctionsSpecifying Default Values in a FunctionReturning Multiple Values from a FunctionFunctions with a Variable Number of ArgumentsImporting Custom ModulesSummary
Chapter 6: Tasks with Strings and Arrays
Task: Count Word FrequenciesTask: Check If a String Contains Unique CharactersTask: Insert Characters in a StringTask: String PermutationsTask: Check for PalindromesWorking with 1D ArraysRotate an ArrayTask: Sort Array In-place Without a Sort FunctionTask: Invert Adjacent Array ElementsWorking with 2D ArraysThe Transpose of a MatrixSummary
Chapter 7: Tasks with Numbers
Time and Space ComplexityTask: FizzBuzzTask: Sum of Even and Odd Numbers in a ListTask: Maximum and Minimum Powers of an IntegerTask: Calculate the Number of DigitsTask: Determine If a Positive Integer is PrimeTask: Find the Prime Factorization of a Positive IntegerTask: Goldbach’s ConjectureTask: Sum of Prime and Composite NumbersSummary
Chapter 8: Working with Bit Values
Working with Bit ValuesTask: Binary Substrings of a NumberTask: Common 1 Values of Two Binary NumbersTask: Invert Bits in Even and Odd PositionsTask: Invert Pairs of Adjacent BitsTask: Find Common Bits in Two Binary NumbersTask: Check for Adjacent Set Bits in a Binary NumberTask: Count Bits in a Range of NumbersTask: Find the Right-most Set Bit in a NumberTask: The Number of Operations to Make All Characters EqualTask: Compute XOR without XOR for Two Binary NumbersSummary
Chapter 9: Python Data Structures
QueuesTuples (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 MethodsDictionary FormattingOrdered DictionariesSorting DictionariesPython Multi-DictionariesList ComprehensionsLists and Filter-related OperationsExpressions in ListsSorting Lists of Numbers and StringsLists and Arithmetic OperationsConcatenating a List of WordsArrays and the append() FunctionWorking with Lists and the split() FunctionCounting Words in a ListIterating Through Pairs of ListsOther List-Related FunctionsSummary
Chapter 10: Introduction to Recursion
What is Recursion?Arithmetic SeriesCalculating Arithmetic Series (Iterative)Calculating Arithmetic Series (Recursive)Geometric SeriesCalculating a Geometric Series (Iterative)Calculating 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 ParenthesesTask: Determine if a Positive Integer is PrimeSummary
Chapter 11: Miscellaneous Topics
Functionally-Oriented ProgrammingThe filter() FunctionThe map() FunctionThe reduce() FunctionThe Lambda Operator and Lambda ExpressionsLambda ExpressionsDunders and Magic MethodsThe Iterator ProtocolThe iter() Function and the __iter__() MethodDictionaries and IteratorsExamples of IteratorsRange Versus a ListWhat 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 NumbersSummary
Appendix A: Introduction to NumPy
What is NumPy?Useful NumPy FeaturesWhat are NumPy Arrays?Working with LoopsAppending Elements to Arrays (1)Appending Elements to Arrays (2)Multiplying Lists and ArraysDoubling the Elements in a ListLists and ExponentsArrays and ExponentsMath Operations and ArraysWorking with “−1” Sub-ranges with VectorsWorking with “−1” Sub-ranges with ArraysOther Useful NumPy MethodsArrays and Vector OperationsNumPy and Dot Products (1)NumPy and Dot Products (2)NumPy and the Length of VectorsNumPy and Other OperationsNumPy and the reshape() MethodCalculating the Mean and Standard DeviationCode Sample with Mean and Standard DeviationTrimmed Mean and Weighted MeanSummary
Appendix B: Introduction to Pandas
What is Pandas?Options and SettingsData FramesData Frames and Data Cleaning TasksAlternatives to PandasA Data Frame with a NumPy ExampleDescribing a Data FrameBoolean Data FramesTransposing a Data FrameData Frames and Random NumbersReading CSV FilesSpecifying a Separator and Column Sets in Text FilesSpecifying an Index in Text FilesThe loc() and iloc() MethodsConverting Categorical Data to Numeric DataMatching and Splitting StringsConverting Strings to DatesWorking with Date RangesDetecting Missing DatesInterpolating Missing DatesOther Operations with DatesMerging and Splitting ColumnsReading HTML Web PagesSaving a Data Frame as an HTML Web PageSummary
Index

Content preview from Python for Absolute Beginners

CHAPTER 4 CONDITIONAL LOGIC

This chapter discusses conditional logic in Python. Virtually every Python program that performs useful calculations requires some type of conditional logic or control structure (or both). Although the syntax for these features is slightly different from other languages, the functionality will probably be familiar if you have worked with other scripting languages.

The first part of this chapter contains code samples that illustrate how to handle if-else conditional logic in Python, as well as if-elsif-else statements. This section also shows you how to determine whether a positive integer is a leap year.

The second part of this chapter discusses Boolean operators, such as in/not/is comparison operators, as well ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.

Julian F.

Head of Cybersecurity

I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.

Addison B.

Field Engineer

I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.

Amir M.

Data Platform Tech Lead

I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.

Mark W.

Embedded Software Engineer

Publisher Resources

ISBN: 9781501518690

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

Python for Absolute Beginners

by OSWALD CAMPESATO

CHAPTER 4

CONDITIONAL LOGIC

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.