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.  

Contents

Part 1 Getting Started with Python

Lesson 1 Setting Up a Python Programming Environment

Lesson 2 Understanding Programming Basics

Lesson 3 Exploring Basic Python Syntax

Lesson 4 Working with Basic Python Data Types

Lesson 5 Using Python Control Statements

Lesson 6 Pulling It All Together: Income Tax Calculator

Part 2 Loops and Data Structures

Lesson 7 Controlling Program Flow with Loops

Lesson 8 Understanding Basic Data Structures: Lists

Lesson 9 Understanding Basic Data Structures: Tuples

Lesson 10 Diving Deeper into Data Structures: Dictionaries

Lesson 11 Diving Deeper into Data Structures: Sets

Lesson 12 Pulling It All Together: Prompting for an Address

Lesson 13 Organizing with Functions

Part 3 Object-Oriented Programming in Python

Lesson 14 Incorporating Object-Oriented Programming

Lesson 15 Including Inheritance

Lesson 16 Pulling It All Together: Building a Burger Shop

Part 4 Data Processing with Python

Lesson 17 Working with Dates and Times

Lesson 18 Processing Text Files

Lesson 19 Processing CSV Files

Lesson 20 Processing JSON Files

Part 5 Data Analysis and Exception Handling

Lesson 21 Using Lambdas

Lesson 22 Handling Exceptions

Lesson 23 Pulling It All Together: Word Analysis in Python

Lesson 24 Extracting, Transforming, and Loading with Ell Scripting

Lesson 25 Improving Ell Scripting

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 databases—including MySQL and MongoDB—as 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.

About the Author

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.