Job Ready Python

Get ready to take on Python with a practical and job-focused guide

Job Ready Python offers readers a straightforward and elegant approach to learning Python that emphasizes hands-on and employable skills you can apply to real-world environments immediately.

Based on the renowned mthree Global Academy and Software Guild training program, this book will get you up to speed in the basics of Python, loops and data structures, object-oriented programming, and data processing. You'll also get:

• Thorough discussions of Extract, Transform, and Load (ETL) scripting in Python

• Explorations of databases, including MySQL, and MongoDB--all commonly used database platforms in the field

• Simple, step-by-step approaches to dealing with dates and times, CSV files, and JSON files

Ideal for Python newbies looking to make a transition to an exciting new career, Job Ready Python also belongs on the bookshelves of Python developers hoping to brush up on the fundamentals with an authoritative and practical new handbook.

Auteur

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.

Texte du rabat
PREPARE FOR A REAL-WORLD PROGRAMMING OR DATA SCIENCE ROLE WITH PYTHON

Python offers one of the most programmer-friendly learning curves of any major language. It combines this with tremendous utility and practicality for data scientists and software developers everywhere. Python's unique mixture of accessibility and potential has made it one of the most popular languages for data processing and analysis used today. In Job Ready Python, veteran software educator and developer Haythem Balti delivers an incisive and hands-on approach to Python you can apply immediately to real-world environments. Based on the famous mthree Global Academy and Software Guild training program, this book explores and teaches the basics of Python, loops and data structures, object-oriented programming, and data processing. The author provides straightforward, step-by-step approaches to dealing with databasesincluding MySQL and MongoDBas well as dates and times, CSV files, and JSON files. Readers will also find thorough discussions of the Extract, Transform, and Load (ETL) framework for scripting in Python. Perfect for Python newbies who want to transition into a new career or job role, Job Ready Python will also prove to be a favorite of amateur and early-career Python developers brushing up on the foundations of their craft and looking for:

• Create a Python programming environment and initial setup
• Understand loops and data structures, including lists, dictionaries, and tuples
• Explore object-oriented programming (OOP) in Python
• Process various forms of data with Python, including dates and times
• Handle exceptions, debug code, and use Lambda functions
• Create pseudocode and install MySQL and MongoDB The companion website at www.wiley.com/go/jobreadypython provides exercises for each chapter, plus data that can be used to test out the various data mining techniques in the book.

Résumé
Get ready to take on Python with a practical and job-focused guide

Job Ready Python offers readers a straightforward and elegant approach to learning Python that emphasizes hands-on and employable skills you can apply to real-world environments immediately.

Based on the renowned mthree Global Academy and Software Guild training program, this book will get you up to speed in the basics of Python, loops and data structures, object-oriented programming, and data processing. You'll also get:

• Thorough discussions of Extract, Transform, and Load (ETL) scripting in Python
• Explorations of databases, including MySQL, and MongoDBall commonly used database platforms in the field
• Simple, step-by-step approaches to dealing with dates and times, CSV files, and JSON files
  Ideal for Python newbies looking to make a transition to an exciting new career, Job Ready Python also belongs on the bookshelves of Python developers hoping to brush up on the fundamentals with an authoritative and practical new handbook.

Contenu

About the Authors v

About the Technical Writer v

About the Technical Editor v

Acknowledgments vi

Introduction xvii

Part I: Getting Started with Python 1

Lesson 1: Setting Up a Python Programming Environment 3

Python Overview 4

Using Replit Online 4

Creating a Replit Account 5

Creating a Python Program in Replit 7

Running a Python Program in Replit 9

Other Replit Tasks 11

Renaming Your Code File 11

Saving Your Coding File Locally 12

Creating a New File for Your Python Project 12

Adding Files to Your Python Project 13

Returning to Replit 13

Getting More Help for Replit 14

Getting Started with Jupyter Notebook 14

Installing Anaconda Jupyter Notebook 15

Creating a New Jupyter Notebook File 16

Renaming a Jupyter Notebook Project File 18

Saving a Python File Locally 19

Opening an Existing Jupyter Notebook File 20

A Quick Look at Visual Studio Code 21

Obtaining Visual Studio Code 21

Adding the Python Extension to Visual Studio Code 22

Using Python from the Command Line 24

Summary 26

Exercises 26

Exercise 1: Say Hello 27

Exercise 2: What's It Do? 27

Exercise 3: Counting 27

Exercise 4: Fruity Code 28

Lesson 2: Understanding Programming Basics 29

The Future of Computer Programming 30

What Is Programming? 30

What Is a Program? 30

Computational Thinking 31

Programming Languages 32

Common Components 33

Statements 33

Syntax 33

Reserved Words 34

Operators 35

Hello, World! 36

Data Types and Variables 37

Data Types 37

Text 38

Numbers 38

True/False 39

Date/Time 39

Data Collections 39

Variables 40

Reserving Memory 42

Variables and Data Types 43

Constants 44

Example 1: Area of a Circle 44

Example 2: Tax Rate 45

Example 3: Output Messages 45

Summary 46

Exercises 46

Exercise 1: Daily Tasks 47

Exercise 2: Python Programming 47

Lesson 3: Exploring Basic Python Syntax 49

Using with Single-Line Commands 51

Using Semicolons 52

Continuing with Backslash 54

Working with Case Structure 55

Adding Comments 56

Using the Input Function 57

Storing Input 59

Understanding Variable Types 61

Displaying Variable Values 62

Naming Variables 64

Summary 65

Exercises 65

Exercise 1: Displaying Text 66

Exercise 2: Follow the Comments 66

Exercise 3: Fixing the Code 66

Exercise 4: Broken Variables 67

Exercise 5: Broken Names 67

Exercise 6: Where Are You? 67

Lesson 4: Working with Basic Python Data Types 69

Review of Data Types 70

Number Data Types 70

Identifying Data Types 72

Mathematical Operations 74

PEMDAS 77

Common Math Functions 81

Math Library Functions 83

Using Numbers with User Input 86

Boolean Types and Boolean Operations 89

Convert to Boolean 90

Logic Operations 92

Comparative Operators 95

Summary 96

Exercises 97

Exercise 1: Prompting the User 97

Exercise 2: Manipulated Math 97

Exercise 3: Integers Only 98

Exercise 4: Current Value 98

Exercise 5: Simple Interest 98

Exercise 6: True or False 99

Exercise 7: Playing with Numbers 99

Exercise 8: Do the Math 99 ...