
Unlock Python's power with Jason Cannon's beginner-friendly guide that transformed countless coding novices into confident programmers. With a 3.91/5 Goodreads rating and praised for its crystal-clear approach, this 2014 classic remains the secret weapon in today's booming tech education landscape.
Jason Cannon, bestselling author of Python Programming for Beginners and a seasoned IT educator, bridges decades of system engineering expertise with accessible programming instruction.
Specializing in Python and Linux, his book empowers newcomers to automate tasks and build practical coding skills, reflecting his career as a Unix/Linux engineer at Fortune 500 companies like Amazon, HP, and UPS.
Cannon’s other works, including Linux for Beginners and Command Line Kung Fu, solidify his reputation for transforming complex technical concepts into beginner-friendly guides. As founder of Linux Training Academy, he’s taught over 965,000 students through platforms like Udemy, where his Python courses maintain a 4.6/5 rating from 200,000+ reviews.
His books and video tutorials, distributed by Manning Publications, are recommended globally for IT professionals, with Python Programming for Beginners praised as a "concise primer" in Goodreads reviews. Cannon’s works have collectively reached millions of learners through translations and academic adoptions.
Python Programming for Beginners provides a step-by-step introduction to Python for absolute beginners, covering fundamentals like variables, strings, functions, and file handling. It includes setup guides for Windows, Mac, and Linux, real-world coding exercises, and explanations of Python 2 vs. Python 3 usage. The book emphasizes hands-on learning with downloadable code examples and practice problems.
This book is ideal for first-time programmers, career changers, or professionals seeking to automate tasks. It assumes no prior coding experience, making it suitable for students, hobbyists, and self-learners. Educators looking for a structured teaching resource will also benefit from its systematic approach.
Yes, the book is highly practical, offering clear explanations, exercises with solutions, and real-world scripting applications. With over 40,000 students in Jason Cannon’s companion Udemy course and positive Goodreads reviews, it’s praised for transforming coding novices into confident Python users.
The book explains when to use Python 2 or 3, ensuring readers grasp version-specific syntax and best practices. It provides code examples compatible with both versions, future-proofing learners for industry standards.
Core topics include:
Yes, it offers exercises like automating tasks, building calculators, and manipulating files. Companion resources include scripts for real-world applications such as data processing and text analysis.
With decades as a Linux/Python systems engineer and instructor, Cannon simplifies complex concepts using relatable analogies. His Udemy course (rated 4.6/5) complements the book with video tutorials and quizzes.
While comprehensive, it pairs best with Cannon’s Udemy course for visual learners. However, standalone users gain sufficient skills for entry-level scripting jobs through the book’s structured lessons and downloadable code.
It provides:
Through chapter-specific exercises like string manipulation challenges, input-validation tasks, and mini-projects (e.g., a to-do list app). Solutions reinforce debugging skills and iterative learning.
While originally published in 2014, Cannon’s focus on foundational concepts ensures relevance. The inclusion of Python 3—the 2025 industry standard—and evergreen topics like automation keeps it applicable.
Cannon’s book is more beginner-friendly, with gentler pacing and fewer complex projects. It’s better for absolute novices, while Automate suits those ready for immediate task automation.
Some advanced users note it lacks deep dives into object-oriented programming or web development. However, this streamlined approach is intentional for its target audience.
Break down key ideas from Python Programming for Beginners into bite-sized takeaways to understand how innovative teams create, collaborate, and grow.
Distill Python Programming for Beginners into rapid-fire memory cues that highlight Pixar’s principles of candor, teamwork, and creative resilience.

Ask anything, pick the voice, and co-create insights that truly resonate with you.

From Columbia University alumni built in San Francisco

Get the Python Programming for Beginners summary as a free PDF or EPUB. Print it or read offline anytime.
Python has become the rockstar of programming languages, beloved by everyone from Silicon Valley engineers to academic researchers. What's the secret to its popularity? It might be the clean, English-like syntax that makes code readable even to beginners. Or perhaps it's the incredible versatility that powers Netflix recommendations, Instagram's backend, and scientific research worldwide. Did you know Python was named after Monty Python, not the snake? This playful origin perfectly captures the language's approachable nature. With Python consistently ranking among the top three programming languages globally and growing 27% year-over-year, there's never been a better time to dive in. Python transforms complex programming concepts into accessible knowledge, opening doors to countless technological possibilities. Whether you're looking to automate tedious tasks, analyze data, or build the next great app, Python offers the perfect balance of simplicity and power to bring your ideas to life. Getting Python ready on your computer is surprisingly straightforward, though the process varies slightly depending on your operating system. Python comes in two major versions: Python 2 (the legacy version) and Python 3 (the modern standard). Always choose Python 3 for new projects - it's where all the exciting development happens. Windows users can simply visit python.org, download the installer, and follow the prompts. One crucial step: check the "Add Python to PATH" option during installation. This small checkbox saves hours of frustration by allowing your computer to find Python from any folder. Mac users often discover their system already has Python 2 pre-installed. However, you'll want to download Python 3 from python.org to access modern features and compatibility with current tutorials and libraries. Linux enthusiasts can typically install Python 3 with a simple command like `apt-get install python3` or `yum install python3`, depending on your distribution. After installation, test your setup by opening a terminal or command prompt and typing `python3` (or just `python` on some systems). When you see the `>>>` prompt appear, you've entered Python's interactive mode - a playground where you can experiment with code snippets and test ideas immediately.