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Python Crash Course

Author: Eric Matthes
Publisher: No Starch Press
ISBN: 1593276036
Size: 62.61 MB
Format: PDF
View: 5246
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Learn Python—Fast! Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: *Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal *Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses *Work with data to generate interactive visualizations *Create and customize Web apps and deploy them safely online *Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3

Python Crash Course 2nd Edition

Author: Eric Matthes
Publisher: No Starch Press
ISBN: 1593279299
Size: 67.60 MB
Format: PDF, Mobi
View: 3016
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Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on real projects. This is the second edition of the best selling Python book in the world. Python Crash Course, 2nd Edition is a straightforward introduction to the core of Python programming. Author Eric Matthes dispenses with the sort of tedious, unnecessary information that can get in the way of learning how to program, choosing instead to provide a foundation in general programming concepts, Python fundamentals, and problem solving. Three real world projects in the second part of the book allow readers to apply their knowledge in useful ways. Readers will learn how to create a simple video game, use data visualization techniques to make graphs and charts, and build and deploy an interactive web application. Python Crash Course, 2nd Edition teaches beginners the essentials of Python quickly so that they can build practical programs and develop powerful programming techniques.

Using Computer Science In Construction Careers

Author: Carla Mooney
Publisher: The Rosen Publishing Group, Inc
ISBN: 1508183902
Size: 14.19 MB
Format: PDF, Docs
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Within computer science, the construction industry offers many career opportunities, from designing a building information modeling system to incorporating virtual and augmented reality technologies into projects. To encourage more students to pursue computer science jobs, this book examines careers that combine interests in both computer science and construction, highlighting different jobs, educational requirements, and job search tips. By reading profiles of real jobs in the construction industry, readers can be inspired by the success stories of people who blend a passion for computer science with a career in the construction industry.

Machine Learning In Production

Author: Andrew Kelleher
Publisher: Addison-Wesley Professional
ISBN: 0134116569
Size: 34.78 MB
Format: PDF, ePub
View: 7040
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Foundational Hands-On Skills for Succeeding with Real Data Science Projects This pragmatic book introduces both machine learning and data science, bridging gaps between data scientist and engineer, and helping you bring these techniques into production. It helps ensure that your efforts actually solve your problem, and offers unique coverage of real-world optimization in production settings. –From the Foreword by Paul Dix, series editor Machine Learning in Production is a crash course in data science and machine learning for people who need to solve real-world problems in production environments. Written for technically competent “accidental data scientists” with more curiosity and ambition than formal training, this complete and rigorous introduction stresses practice, not theory. Building on agile principles, Andrew and Adam Kelleher show how to quickly deliver significant value in production, resisting overhyped tools and unnecessary complexity. Drawing on their extensive experience, they help you ask useful questions and then execute production projects from start to finish. The authors show just how much information you can glean with straightforward queries, aggregations, and visualizations, and they teach indispensable error analysis methods to avoid costly mistakes. They turn to workhorse machine learning techniques such as linear regression, classification, clustering, and Bayesian inference, helping you choose the right algorithm for each production problem. Their concluding section on hardware, infrastructure, and distributed systems offers unique and invaluable guidance on optimization in production environments. Andrew and Adam always focus on what matters in production: solving the problems that offer the highest return on investment, using the simplest, lowest-risk approaches that work. Leverage agile principles to maximize development efficiency in production projects Learn from practical Python code examples and visualizations that bring essential algorithmic concepts to life Start with simple heuristics and improve them as your data pipeline matures Avoid bad conclusions by implementing foundational error analysis techniques Communicate your results with basic data visualization techniques Master basic machine learning techniques, starting with linear regression and random forests Perform classification and clustering on both vector and graph data Learn the basics of graphical models and Bayesian inference Understand correlation and causation in machine learning models Explore overfitting, model capacity, and other advanced machine learning techniques Make informed architectural decisions about storage, data transfer, computation, and communication Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Iphone And Mac Wrox E Book Bundle

Author: Richard Wagner
Publisher: John Wiley & Sons
ISBN: 047062163X
Size: 12.60 MB
Format: PDF, Kindle
View: 2499
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The books included in this set are: Beginning iPhone SDK Programming with Objective-C (978-0-470-50097-2) This book provides an easy-to-follow, example-driven introduction to the fundamentals of the Apple iPhone SDK and offers you a clear understanding of how things are done when programming iPhone applications with Objective-C. As you progress through the exercises featured in each chapter, you will discover the simple logic behind each step required for creating your own iPhone applications. When you reach the end of the book, you will be prepared to confidently tackle your next iPhone programming challenge. Beginning Mac OS X Snow Leopard Programming (9780470577523) This book serves as a solid guide to getting started with Mac OS X programming. You will learn how to use the free software development tools that come with all Mac OS X systems and how to efficiently start writing programs on Mac OS X Snow Leopard. The author shows you how to use all of the programming languages to use together in order to create seamless applications. Professional Xcode 3 (9780470525227). This book provides you with an inside look at the array of Xcode tools for Mac and iPhone development from top to bottom. You'll go beyond the basics and dive into such in-depth topics as installing the latest version of Xcode tools, customizing the look and behavior of Xcode, creating and managing projects, using the built-in class browser to model complex applications and structures, and more. With this book, you'll be able to take full advantage of the range of tools included with Xcode. Safari and WebKit Development for iPhone OS 3.0 (9780470549667) This book explores the Safari and WebKit development platform that is built into iPhone OS 3.0 and takes you through the process of creating an iPhone web application from the ground up. You'll learn how to use existing open source frameworks to speed up your development time, imitate qualities of built-in Apple apps, cache data locally and even run in offline mode, and more. Whether you're eager to build new web applications for iPhone OS 3.0 or optimize existing web sites for this platform, you have everything you need to do so within this book.