Title: Python for Everybody: Exploring Data in Python 3
Author(s) Name(s): Charles Severance
Published in: April, 2016
Why You Might Like This Book: Read this book if you enjoy
- programming lessons for beginners,
- computer science applications,
- coding or writing programs for your work or research,
- professional skills development, and
- are new to Python.
Who Should Avoid This Book: Avoid this book if you are triggered by or dislike
- NA (not applicable).
Recommended for children? Yes!
Python has become one of the most popular programming languages in recent times because it is easy for just about anyone to pick up. Python is called a “high-level programming language” because it is much more closer to human-readable form than programming languages like C which are harder for humans to read and understand. The goal of this book, according to the author Charles Severance, is that everyone should be able to program and this book focuses exclusively on Python 3 as you can make out from the title. Also, the author makes it clear that this is not a book for experts but for beginners and those who are interested in learning programming.
This book, often referred to as Py4E, could be considered an easily accessible and easily understandable entry point into the world of programming. Rather than treating Python as just another academic subject, the author teaches the reader how to use as a tool for solving real-world data problems. The book targets specifically those readers who may not have a background in computer science, making it a beginner-friendly manual that comes with clarity and avoids technical jargon, which is something you might notice right away.
The author begins the book with a broad overview of what programming is, how programming can be useful, and the basics of computers, hardware and software – nothing too detailed or boring here. Slowly but pretty soon, the book moves into Python-specific details. Python itself is a program, which is originally written in C. We learn about variables, types of error messages, keywords used in Python, types of values like integer, string, and float, the uses of basic functions like type(), print(), and input(), etc.
While chapter 3 focuses on conditionals, chapter 4 covers functions: what is a function, what is the need for a function, writing new functions, and parameters and arguments, then it moves to more complex territories like strings and file handling. What sets it apart from other introductory texts is the pivot toward data science. Instead of just teaching you how to write a script, the author shows you how to use Python to scrape the web, interact with APIs, and manage databases using SQL. This transition ensures that the reader isn’t just learning syntax, but is learning how to perform tasks that are genuinely useful in a modern professional environment.
However, if you are looking for guidance on complicated, advanced tasks that use Python, this isn’t the book for you. It stays true to its title: it is for everybody, not just aspiring software engineers. The examples are intentionally kept simple to ensure the core logic isn’t lost in the middle of complex mathematical formulas or obscure library features.
In terms of tone, Severance writes with a conversational and encouraging wit. He acknowledges the frustrations of being a beginner, often reminding the reader that “computers want to be helpful, but they are very literal.” This approach helps lower the barrier to entry, transforming what could be a frustrating debugging session into a logical puzzle. The reader also has an additonal benefit because the book is part of a larger ecosystem; since it’s tied to a popular MOOC (Massive Open Online Course), the exercises are well-vetted and the logic is easy to follow.
Overall, Python for Everybody is an excellent choice for hobbyists, data analysts, or students who want to learn programming without feeling overwhelmed. It provides a solid foundation in Python 3 that allows readers to start feeling like “creators.” By the time you reach the final chapter, you’ll be able to automate boring tasks and extract insights from the vast amount of data available on the Internet today.