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Item type | Location | Call Number | Status | Notes | Date Due |
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AUM Main Library English Collections Hall | 005.133 M436 (Browse Shelf) | Available | inv 202301028 | |
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AUM Main Library English Collections Hall | 005.133 M436 (Browse Shelf) | Available | inv 202300292 |
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005.133 M342Java programming : | 005.133 M342Java programming : | 005.133 M436Python crash course : | 005.133 M436Python crash course : | 005.133 M594Model-based software testing and analysis with C# / | 005.133 M626Microsoft GW-BASIC interpreter : |
Includes index
Available to OhioLINK libraries
Python Crash Course is the world's best-selling guide to the Python guide programming language, with over 1,500,000 copies sold to date! This fast-paced, thorough introduction to programming with Python will have you writing code, solving problems, and making cool projects that work in no time. In the first half of the book, you'll learn basic programming concepts, such as variables, lists, loops, and classes, and practice writing clean code with exercises for each topic. You'll also learn how to make your programs interactive and test your code safely before adding it to a project. In the second half, you'll put your new knowledge into practice with three substantial projects: a Space Invaders' inspired arcade game, a set of data visualizations with Python's handy libraries, and a simple web app you can deploy online. As you work through the book, you'll learn how to: Use powerful Python libraries and tools, including Pygame, Matplotlib, Plotly, and Django; Make 2D games that respond to keypresses and mouse clicks; Use 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. This updated third edition has been thoroughly revised to reflect the latest in Python code and practices. The first half of the book includes improved coverage of topics like variables, handling errors, and object-oriented programming. In the second half, the code for the projects has been updated with current example data, better app deployment, and up-to-date libraries and tools, like Plotly, the Tailwind CSS framework, and the latest version of Django
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