Job Ready Python

HAYTHEM BALTI, PhD, is the associate dean at Wiley’s mthree academy. He has created courses used by thousands of Software Guild and mthree alumni to learn Go, Java, Python, and other development and data science skills.KIMBERLY A. WEISS is a veteran course developer, specializing in Computer Science courses since 2002. She was an assistant professor in Computer Science for over ten years before deciding to focus exclusively on course design. She has worked with multiple universities as well as corporate training settings to develop interactive instructional content appropriate for the target learners and course goals.

• About the Authors vAbout the Technical Writer vAbout the Technical Editor vAcknowledgments viIntroduction xvii  Part I: Getting Started with Python 1Lesson 1: Setting Up a Python Programming Environment 3Python Overview 4Using Replit Online 4Getting Started with Jupyter Notebook 14A Quick Look at Visual Studio Code 21Using Python from the Command Line 24Summary 26Exercises 26Lesson 2: Understanding Programming Basics 29The Future of Computer Programming 30Programming Languages 32Data Types and Variables 37Variables 40Constants 44Summary 46Exercises 46Lesson 3: Exploring Basic Python Syntax 49Using with Single- Line Commands 51Using Semicolons 52Continuing with Backslash 54Working with Case Structure 55Adding Comments 56Using the Input Function 57Storing Input 59Understanding Variable Types 61Displaying Variable Values 62Naming Variables 64Summary 65Exercises 65Lesson 4: Working with Basic Python Data Types 69Review of Data Types 70Number Data Types 70Identifying Data Types 72Mathematical Operations 74Pemdas 77Common Math Functions 81Math Library Functions 83Using Numbers with User Input 86Boolean Types and Boolean Operations 89Logic Operations 92Comparative Operators 95Summary 96Exercises 97Lesson 5: Using Python Control Statements 101Control Structures Review 101Understanding Sequence Control Structure 102Understanding Selection Statements 103Understanding Conditional Statements 106If- Else Statements 108Working with Nested Conditions 109Embedding Conditions 112Summary 114Exercises 114Lesson 6: Pulling It All Together: Income Tax Calculator 117Getting Started 118Step 1: Gather Requirements 118Step 2: Design the Program 120Step 3: Create the Inputs 120Step 4: Calculate the Taxable Income 122Step 5: Calculate the Tax Rate 124Step 6: Update the Application 133Step 7: Address the UI 136On Your Own 139Summary 139Part II: Loops and Data Structures 141Lesson 7: Controlling Program Flow with Loops 143Iterations Overview 144The Anatomy of a Loop 144The for Loop 145The while Loop 146for vs. while Loops 149Strings and String Operations 151Iterating through Strings 164Summary 167Exercises 167Lesson 8: Understanding Basic Data Structures: Lists 173Data Structure Overview—Part 1 174Creating Lists 175Determining List Length 179Working with List Indexes 179Negative Indexing in Lists 182Slicing Lists 184Adding Items to a List 189Inserting List Items 190Removing List Items 192Concatenating Lists 196List Comprehension 197Sorting Lists 199Copying Lists 200Summary 202Exercises 202Lesson 9: Understanding Basic Data Structures: Tuples 205Tuples and Tuple Operations 206Tuple Index Values 209Negative Indexing in Tuples 210Slicing Tuples 212Immutability 213Concatenating Tuples 216Searching Tuples 217Summary 218Exercises 219Lesson 10: Diving Deeper into Data Structures: Dictionaries 223Data Structure Overview— Part 2 224Getting Started with Dictionaries 224Generating a Dictionary 227Retrieving Items from a Dictionary 230Using the keys() Method 233Using the items() Method 234Reviewing the keys(), values(), and items() Methods 236Using the get() Method 239Using the pop() Method 241Working with the in Operator 245Updating a Dictionary 246Duplicating a Dictionary 249Clearing a Dictionary 254Summary 255Exercises 255Lesson 11: Diving Deeper into Data Structures: Sets 259Sets 260Retrieving Items from a Set 261Adding Items to a Set 262Creating an Empty Set 262Understanding Set Uniqueness 263Searching Items in a Set 265Calculating the Length of a Set 267Deleting Items from a Set 268Clearing a Set 270Popping Items in a Set 272Deleting a Set 273Determining the Difference Between Sets 274Intersecting Sets 277Combining Sets 278Summary 279Exercises 279Lesson 12: Pulling It All Together: Prompting for an Address 283Step 1: Getting Started 284Step 2: Accept User Input 285Step 3: Display the Input Value 286Step 4: Modify the Output 287Step 5: Split a Text Value 288Step 6: Display Only the House Number 290Step 7: Display the Street Name 291Step 8: Add the Period 292Summary 293Lesson 13: Organizing with Functions 295Functions Overview 295Defining Functions in Python 296Function Syntax 300Default Input Values 301Parameter Syntax 303Arbitrary Arguments 304Keyword Arguments 306Arbitrary Keyword Arguments 306Summary 308Exercises 309Part III: Object- Oriented Programming in Python 311Lesson 14: Incorporating Object- Oriented Programming 313Object- Oriented Programming Overview 314Defining Classes 314Creating Objects 316Working with Methods 319Class Attributes 324Summary 330Exercises 330Lesson 15: IncludingInheritance 333Understanding Inheritance 334Creating a Parent Class 335Creating a Child Class 335Inheriting at Multiple Levels 338Overriding Methods 340Summary 343Exercises 344Lesson 16: Pulling It All Together: Building a Burger Shop 349Requirements for Our Application 350Plan the Code 350Create the Classes 351Create the Food Item Class 352Create the Main File 357Display the Output 364Tie the Code Files Together 364Summary 368Part IV: Data Processing with Python 369Lesson 17: Working with Dates and Times 371Getting Started with Dates and Times 372Getting the Current Date and Time 376Splitting a Date String 377Using datetime Attributes 379Creating Custom datetime Objects 380Compare datetime Values 381Working with UTC Format 383Applying Timestamps 384Arithmetic and Dates 387Calculating the Difference in Days 388Using Date without Time 390Using Time without Date 392Summary 394Exercises 394Calculator 1: Time Duration 396Calculator 2: Add or Subtract Time from a Date 397Calculator 3: Age Calculator 397Lesson 18: Processing Text Files 399File Processing Overview 401Introduction to File Input/Output 402Processing Text Files 404Opening a File 404Reading Text from a File 406Add Content to a File 412Overwriting the Contents of a File 415Creating a New File 417Using the os Module 418Deleting a File 419Summary 421Exercises 421Lesson 19: Processing CSV Files 425Reading CSV Files 426Using the DictReader Class 430Creating a Dataset List 432Using writerow() 434Appending Data 436Writing Rows as Lists 439Writing Rows from Dictionaries 440Summary 444Exercises 444Lesson 20: Processing JSON Files 447Processing JSON Files 448Creating a JSON File with dump() 448Converting to JSON with dumps() 449Formatting JSON Data 450Using json.loads() 452Iterating through JSON Data 454Reading and Writing JSON Data 457Summary 460Exercises 461Part V: Data Analysis and Exception Handling 465Lesson 21: Using Lambdas 467Creating a Lambda Function 468Working with Multiple Inputs 469Placing Lambda Functions inside a Function 471Using the map() Function 472Combining Map and Lambda Functions 475Using the filter() Function 477Combining a Filter and a Lambda 479Using the reduce() Function 480Summary 486Exercises 486Lesson 22: Handling Exceptions 491Built- In Exceptions 492Working with try and except 493Working with Multiple Excepts 495Combining Exception Types 498Using Multiple Operations in a try 500Using the raise Keyword 501Exploring the General Exception Classes 502Adding finally 505Summary 506Exercises 506Lesson 23: Pulling It All Together: Word Analysis in Python 511Examine the Data 512Read the Data 514Tokenize the Dataset 517Count the Words in Each Review 524Summary 528Lesson 24: Extracting, Transforming, and Loading with ETL Scripting 531ETL Scripting in Python 532Design and Implement Custom ETL Scripts 532The extract Class 534The transform Class 546The load Class 569Summary 582Exercises 582Lesson 25: Improving ETL Scripting 585Converting to Static Methods for the extract Class 586Converting to Static Methods for the transform Class 588Summary 607Exercises 608Part VI: Appendices 611Appendix A: Flowcharts 613Flowchart Basics 613Common Flowcharting Shapes 615Appendix B: Creating Pseudocode 621What Is Pseudocode? 621Appendix C: Installing MySQL 623MySQL Installation 623Verify the Installation 628The MySQL Notifier 630Appendix D: Installing Vinyl DB 631Database Structure 631Create the Database 632Appendix E: Installing MongoDB 637Installing MongoDB Community Server 637Running MongoDB 642Appendix F: Importing to MongoDB 643Index 645