Python (Over 83,000 results)

Condition: Very Good. An introduction to the Python programming language - an interpreted, interactive, object-oriented, and portable scripting language. This book introduces the elements of Python: types, operators, statements, functions, modules, and exceptions.

Condition: Fair. An introduction to the Python programming language - an interpreted, interactive, object-oriented, and portable scripting language. This book introduces the elements of Python: types, operators, statements, functions, modules, and exceptions.

Condition: Good. An introduction to the Python programming language - an interpreted, interactive, object-oriented, and portable scripting language. This book introduces the elements of Python: types, operators, statements, functions, modules, and exceptions.

Condition: Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Hardback. Condition: Good. A behind-the-scenes foray into the making of one of the world's most popular comedy shows. The author describes the history of the show, the biographies of the members and anecdotes from those involved in making the series.

Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

paperback. Condition: Very Good. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations.

Condition: Fair. Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book ? Second edition of the bestselling book on Machine Learning ? A practical approach to key frameworks in data science, machine learning, and deep learning ? Use the most powerful Python libraries to implement machine learning and deep learning ? Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn ? Understand the key frameworks in data science, machine learning, and deep learning ? Harness the power of the latest Python open source libraries in machine learning ? Explore machine learning techniques using challenging real-world data ? Master deep neural network implementation using the TensorFlow library ? Learn the mechanics of classification algorithms to implement the best tool for the job ? Predict continuous target outcomes using regression analysis ? Uncover hidden patterns and structures in data with clustering ? Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world. If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn. Style and Approach Python Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.…

Paperback. Condition: Very Good. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you'll learn how to acquire, clean, analyze, and present data efficiently. You'll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process.…

Hardback. Condition: Fair. A classic tale of a greedy snake, with illustrations from Eric Carle, is now available as a Ready-to-Read. In this humorous story about manners, respect, and friendship, a greedy python eats every creature he comes across in the jungle. From a tiny mouse to an enormous elephant, the devoured animals eventually befriend one another in the belly of the snake, where they team up and kick the inside of the python until he spits them out. Rather than learning his lesson, the python sticks to his greedy ways. When he spots his own tail and mistakes it for food, he swallows himself and.disappears!      This amusing--and cautionary--tale features Eric Carle's vivid illustrations and rhyming text that's been adapted into a Level 1 Ready-to-Read, making it ideal for sharing aloud with emerging readers. Carle, Eric (illustrator).…

Condition: Very Good. Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. About This Book ? Second edition of the bestselling book on Machine Learning ? A practical approach to key frameworks in data science, machine learning, and deep learning ? Use the most powerful Python libraries to implement machine learning and deep learning ? Get to know the best practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data. What You Will Learn ? Understand the key frameworks in data science, machine learning, and deep learning ? Harness the power of the latest Python open source libraries in machine learning ? Explore machine learning techniques using challenging real-world data ? Master deep neural network implementation using the TensorFlow library ? Learn the mechanics of classification algorithms to implement the best tool for the job ? Predict continuous target outcomes using regression analysis ? Uncover hidden patterns and structures in data with clustering ? Delve deeper into textual and social media data using sentiment analysis In Detail Machine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world. If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn. Style and Approach Python Machine Learning Second Edition takes a practical, hands-on coding approach so you can learn about machine learning by coding with Python. This book moves fluently between the theoretical principles of machine learning and the practical details of implementation with Python.…

Paperback. Condition: Fair. "This attractive and readable book is an excellent introduction to informational literature and to a fascinating creature." -- School Library Journal Python stirs and slithers out from her shelter, smelling the air with her forked tongue. It's time to molt her dull scales and reveal the glistening snake underneath. Gliding along a tree, the hungry python stalks her prey. Combining informative facts, expressive illustrations, and a lyrical, mesmerizing narrative, this book will captivate anyone fascinated by this iconic creature. Jackson, Mark (illustrator).…

Paperback. Condition: Very Good. The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python   Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.   Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you?re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems.   Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes.   Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem.  Work with DataFrames and Series, and import or export dataCreate plots with matplotlib, seaborn, and pandasCombine datasets and handle missing dataReshape, tidy, and clean datasets so they?re easier to work withConvert data types and manipulate text stringsApply functions to scale data manipulationsAggregate, transform, and filter large datasets with groupbyLeverage Pandas? advanced date and time capabilitiesFit linear models using statsmodels and scikit-learn librariesUse generalized linear modeling to fit models with different response variablesCompare multiple models to select the ?best?Regularize to overcome overfitting and improve performanceUse clustering in unsupervised machine learning.…

Paperback. Condition: Good. How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you'll learn how to acquire, clean, analyze, and present data efficiently. You'll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process.…

Paperback. Condition: Good. Python is a powerful programming language that's easy to learn and fun to play with. But once you've gotten a handle on the basics, what do you do next? Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of real-world phenomena, and interact with hardware like the Arduino and Raspberry Pi. You'll learn to use common Python tools and libraries like numpy, matplotlib, and pygame to do things like: Generate Spirograph-like patterns using parametric equations and the turtle module; Create music on your computer by simulating frequency overtones; Translate graphical images into ASCII art; Write an auto stereogram program that produces 3D images hidden beneath random patterns; Make realistic animations with OpenGL shaders by exploring particle systems, transparency, and billboarding techniques; Construct 3D visualizations using data from CT and MRI scans; Build a laser show that responds to music by hooking up your computer to an Arduino Programming shouldn't be a chore. Have some solid, geeky fun with Python Playground. The projects in this book are compatible with both Python 2 and 3.…

Paperback. Condition: Good. This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax.   After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries. It addresses established Python features as well as the advanced object-oriented options available in Python 3. This edition covers 5 years? worth of minor updates to the language, and the last 5 chapters have been reworked to be data based project work.   Key features: ·    Clear introduction ·    Completely up-to-date ·    Hands-on experience   The book is aimed at readers who know programming but for whom the Python language is new.   About the Technology: Python is a true cross-platform language. It can be used to develop small applications and rapid prototypes, but scales well to permit development of large programs. It comes with a powerful and easy-to-use graphical user interface (GUI) toolkit, web programming libraries and more. And it?s free.…

Paperback. Condition: Fair. Python is a powerful, expressive programming language that's easy to learn and fun to use! But books about learning to program in Python can be kind of dull, gray, and boring, and that's no fun for anyone. Python for Kids brings Python to life and brings you (and your parents) into the world of programming. The ever-patient Jason R. Briggs will guide you through the basics as you experiment with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more. New terms are defined; code is coloured, dissected, and explained; and quirky, full-colour illustrations keep things on the lighter side. Chapters end with programming puzzles designed to stretch your brain and strengthen your understanding. By the end of the book you'll have programmed two complete games: a clone of the famous Pong and 'Mr. Stick Man Races for the Exit'-a platform game with jumps, animation, and much more. As you strike out on your programming adventure, you'll learn how to: Use fundamental data structures like lists, tuples, and maps; Organize and reuse your code with functions and modules; Use control structures like loops and conditional statements; Draw shapes and patterns with Python's turtle module; Create games, animations, and other graphical wonders with tkinter Why should serious adults have all the fun? Python for Kids is your ticket into the amazing world of computer programming. For kids ages 10+ (and their parents) The code in this book runs on almost anything: Windows, Mac, Linux, even an OLPC laptop or Raspberry Pi.…

Paperback. Condition: Very Good. "This attractive and readable book is an excellent introduction to informational literature and to a fascinating creature." -- School Library Journal Python stirs and slithers out from her shelter, smelling the air with her forked tongue. It's time to molt her dull scales and reveal the glistening snake underneath. Gliding along a tree, the hungry python stalks her prey. Combining informative facts, expressive illustrations, and a lyrical, mesmerizing narrative, this book will captivate anyone fascinated by this iconic creature. Jackson, Mark (illustrator).…

Paperback. Condition: Very Good. Python is a powerful programming language that's easy to learn and fun to play with. But once you've gotten a handle on the basics, what do you do next? Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of real-world phenomena, and interact with hardware like the Arduino and Raspberry Pi. You'll learn to use common Python tools and libraries like numpy, matplotlib, and pygame to do things like: Generate Spirograph-like patterns using parametric equations and the turtle module; Create music on your computer by simulating frequency overtones; Translate graphical images into ASCII art; Write an auto stereogram program that produces 3D images hidden beneath random patterns; Make realistic animations with OpenGL shaders by exploring particle systems, transparency, and billboarding techniques; Construct 3D visualizations using data from CT and MRI scans; Build a laser show that responds to music by hooking up your computer to an Arduino Programming shouldn't be a chore. Have some solid, geeky fun with Python Playground. The projects in this book are compatible with both Python 2 and 3.…

Paperback. Condition: Very Good. Bolster, Rob (illustrator).

Paperback. Condition: Very Good. Bolster, Rob (illustrator).

Paperback. Condition: Very Good. Bolster, Rob (illustrator).

Paperback. Condition: Fair. Bolster, Rob (illustrator).

paperback. Condition: Fair. Bolster, Rob (illustrator).

paperback. Condition: Fair. Bolster, Rob (illustrator).

Paperback. Condition: Good. Bolster, Rob (illustrator).

Paperback. Condition: Good. Bolster, Rob (illustrator).

Paperback. Condition: Good.

Paperback. Condition: Very Good.

Paperback. Condition: Very Good. What if an alligator picked a fight with a python? Who do you think would win? This nonfiction reader compares and contrasts two ferocious reptiles. Readers will learn about each animal's anatomy, behavior, and more. Then compare and contrast the battling pair before finally discovering the winner!This nonfiction series is full of facts, photos, and realistic illustrations, and it includes a range of mammals, sea creatures, insects, and dinosaurs to satisfy all kinds of animal fans. Bolster, Rob (illustrator).…