Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutzâs popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. Itâs an ideal way to begin, whether youâre new to programming or a professional developer versed in other languages.
Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3â the latest releases in the 3.X and 2.X linesâplus all other releases in common use today. Youâll also learn some advanced language features that recently have become more common in Python code.
I was smart enough to earn an honors degree in philosophy from Harvard, but an aptitude test told me to avoid computer programming. I'm sure it was right. But then I designed a learning system for myself that quadrupled my aptitude for learning computer languages. It worked so well for me that I've used it to teach coding to grandmothers, cab drivers, musicians, and 50,000 other newbies.
Quadruple your learning ability.
Washington University research shows that a key teaching method I useâinteractive recall practiceâimproves learning performance 400 percent.
"I don't feel lost and I don't feel that I am forgetting things as I go along." âAmazon reviewer Leonie M. reviewing my second book, A Smarter Way to Learn HTML and CSS
Understanding is easy. Remembering is hard.
Computer languages are not inherently hard to understand, even for non-techies. Remembering is the problem. If you remember all of Chapter 1 through Chapter 10, you'll understand Chapter 11. But you don't remember. Though you read and read, most of it doesn't stick. You don't have a solid foundation to build on. Halfway through the book, it all collapses. That's when most people give up.
Interactive exercises make it stick.
Research shows that you will remember everything if you're repeatedly asked to recall it. That's the beauty of flash cards. But technology offers an even better way to make information stick. With my book you get almost a thousand interactive exercisesâthey're free onlineâthat embed the whole book in your memory. Algorithms check your work to make sure you know what you think you know. When you stumble, you do the exercise again. You keep trying until you know the chapter cold.
"Not only do the exercises make learning fun, they reinforce the material right away so it sinks in deeper." âAmazon reviewer Timothy B. Miller reviewing my second book, A Smarter Way to Learn HTML and CSS
You won't get bored or sleepy.
The exercises keep you engaged, give you extra practice where you're shaky, and prepare you for each next step. Every lesson is built on top of a solid foundation that you and I have carefully constructed. Each individual step is small. But all the little steps add up to real knowledgeâknowledge that you retain.
I finally feel like I KNOW it and won't need to look up the syntax each time..." âAmazon reviewer J. Caritas reviewing my third book, A Smarter Way to Learn jQuery
Really, it ain't that hard.
Reviewing my books on Amazon, readers who've struggled with programming concepts like functions, loops, and scope write, "I had no idea these things were so simple!"
You don't need to be a computer genius to learn Python. You just need to be smart about how you learn it.
Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. Youâll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint exactly what you need.
Written by Mark Lutzâwidely recognized as the worldâs leading Python trainerâPython Pocket Reference is an ideal companion to OâReillyâs classic Python tutorials, Learning Python and Programming Python, also written by Mark.
This fifth edition covers:
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youâll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. Itâs ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Easy to understand and fun to read, Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what youâve learned.
Youâll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.
Pythonâs simplicity lets you become productive quickly, but this often means you arenât using everything it has to offer. With this hands-on guide, youâll learn how to write effective, idiomatic Python code by leveraging its bestâand possibly most neglectedâfeatures. Author Luciano Ramalho takes you through Pythonâs core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time.
Many experienced programmers try to bend Python to fit patterns they learned from other languages, and never discover Python features outside of their experience. With this book, those Python programmers will thoroughly learn how to become proficient in Python 3.
This book covers:
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