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Author: John Craig
Publisher:
ISBN: 9781074400675
Category :
Languages : en
Pages : 212
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Book Description
Python is quickly becoming the world's most popular programming language, for everything from quick-and-easy hobbyist calculations to running some of the biggest online websites such as Google, YouTube, Dropbox, Reddit, and many others. OpenSCAD is a powerful 3D modeling language for, among other things, creating 3D printed plastic parts for hobbyists and engineers. This book enables the reader to leverage the power, versatility, and simplicity of Python to enhance and super-charge the already powerful capabilities of OpenSCAD for Makers, Engineers, and anyone who wants to create 3D shapes for 3D printing or manufacturing. Both Python and OpenSCAD are free software tools that run on Windows, Macs, and Linux machines. The symbiotic use of these two tools enables a much shorter learning curve than when using the expensive software packages, and it puts you in control of your designs instead of your designs controlling you! The complete source code Python listing for driving OpenSCAD using easier-to-remember and easier-to-use commands is included in this book, along with creative examples of the use of all new commands. You'll also see how easy it is to integrate these two tools such that you'll see results instantly on your screen when your Python code runs. Table of Contents of Python for OpenSCAD Introduction About PythonAbout OpenSCADOpenSCAD LimitationsPython to the RescueHow Python was added to OpenSCADHow to Get StartedWhere to Get PythonWhere to Get OpenSCADHow to Learn from this Book 1 - Spheres 2 - Color 3 - Boxes 4 - Cylinders 5 - Tubes 6 - Cones 7 - Triangles 8 - Animation 9 - Polygons 10 - Polyhedrons 11 - Regular polygons 12 - Text 13 - Translate and Rotate 14 - Scale 15 - Resize 16 - Rotate extrude 17 - Spiral 18 - Hull 19 - Minkowski 20 - Mirror 21 - Projection 22 - Slice 23 - Offsets 24 - Difference, Union, & Intersection 25 - Assemblies 26 - Gears 27 - Mason bees 28 - Surface 29 - Platonic solids Appendix A. openscad.py
Author: John Craig
Publisher:
ISBN: 9781074400675
Category :
Languages : en
Pages : 212
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Book Description
Python is quickly becoming the world's most popular programming language, for everything from quick-and-easy hobbyist calculations to running some of the biggest online websites such as Google, YouTube, Dropbox, Reddit, and many others. OpenSCAD is a powerful 3D modeling language for, among other things, creating 3D printed plastic parts for hobbyists and engineers. This book enables the reader to leverage the power, versatility, and simplicity of Python to enhance and super-charge the already powerful capabilities of OpenSCAD for Makers, Engineers, and anyone who wants to create 3D shapes for 3D printing or manufacturing. Both Python and OpenSCAD are free software tools that run on Windows, Macs, and Linux machines. The symbiotic use of these two tools enables a much shorter learning curve than when using the expensive software packages, and it puts you in control of your designs instead of your designs controlling you! The complete source code Python listing for driving OpenSCAD using easier-to-remember and easier-to-use commands is included in this book, along with creative examples of the use of all new commands. You'll also see how easy it is to integrate these two tools such that you'll see results instantly on your screen when your Python code runs. Table of Contents of Python for OpenSCAD Introduction About PythonAbout OpenSCADOpenSCAD LimitationsPython to the RescueHow Python was added to OpenSCADHow to Get StartedWhere to Get PythonWhere to Get OpenSCADHow to Learn from this Book 1 - Spheres 2 - Color 3 - Boxes 4 - Cylinders 5 - Tubes 6 - Cones 7 - Triangles 8 - Animation 9 - Polygons 10 - Polyhedrons 11 - Regular polygons 12 - Text 13 - Translate and Rotate 14 - Scale 15 - Resize 16 - Rotate extrude 17 - Spiral 18 - Hull 19 - Minkowski 20 - Mirror 21 - Projection 22 - Slice 23 - Offsets 24 - Difference, Union, & Intersection 25 - Assemblies 26 - Gears 27 - Mason bees 28 - Surface 29 - Platonic solids Appendix A. openscad.py
Author: Justin Gohde
Publisher: No Starch Press
ISBN: 1593279558
Category : Technology & Engineering
Languages : en
Pages : 262
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Book Description
Programming with OpenSCAD is a STEM-focused, learn-to-code book for beginners that introduces core computational thinking concepts through the design of 3D-printable objects. Develop coding skills as you build increasingly complex 3D models and print them into fun games, puzzles, and more. OpenSCAD is freely available open source software that enables nondesigners to easily create 3D designs using a text-based programming language. It’s a great language for beginners because the instant 3D visualization gives you immediate feedback on the results of your code. This book channels OpenSCAD’s visual benefits and user-friendliness into a STEAM-focused, project-based tutorial that teaches the basics of coding, 3D printing, and computational thinking while you develop your spatial reasoning by creating 3D designs with OpenSCAD. Presuming no prior experience with either programming or 3D design, each chapter builds a scaffolded understanding of core concepts. You’ll start by defining, drawing and displaying geometric primitives with text-based code, then expand your creative toolbox with transformation operations – like rotating, reflecting, scaling, and combining shapes. As the projects become more sophisticated, so will your programming skills; you’ll use loops for replicating objects, if statements for differentiating your designs, and parameterized, self-contained modules to divide longer scripts into separate files. Along the way, you'll learn 3D printing tips so that you can produce physical mementos of your progress and get physical feedback that lets you correct mistakes in real time. In addition, the book provides hands-on and accessible design exercises at the end of each chapter so that you can practice applying new concepts immediately after they are introduced. You’ll learn: Programming basics like working with variables, loops, conditional statements, and parameterized modules Transformation operations, such as rotate, reflect, and scale, to create complex shapes Extrusion techniques for turning 2D shapes into elaborate 3D designs Computational-thinking concepts, including decomposition, abstraction, and pattern recognition OpenSCAD’s Boolean, Minkowski and hull operations for combining multiple 3D shapes into one 3D design fundamentals, like navigating the xyz-axis, orthogonal vs. perspective views, and constructive solid geometry Organizing bigger designs into separate files to make code more readable and collaborative Accessibly written for a wide audience (advanced middle schoolers, high school students, college students, artists, makers and lifelong-learners alike), this is the perfect guide to becoming proficient at programming in general and 3D modeling in particular.
Author: Tam Hanna
Publisher:
ISBN: 9781907920998
Category :
Languages : en
Pages : 185
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Book Description
Author: Jochen Kerdels
Publisher: BoD – Books on Demand
ISBN: 3753458589
Category : Computers
Languages : en
Pages : 222
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Book Description
OpenSCAD is a free open source software for the creation of three-dimensional geometries. In contrast to common CAD systems such as Fusion 360 or SolidWorks, geometries in OpenSCAD are defined by a purely textual description. This means that all elements of a geometry are inherently parameterized and can be easily adapted. This high flexibility makes OpenSCAD particularly suitable for the design of technical systems and and their components, for example in the context of 3D printing. The book Mastering OpenSCAD introduces you to all important concepts and functionalities of OpenSCAD. The book guides you through 10 selected projects step by step, each project focusing on a limited set of functions and concepts. After these 10 projects, you will know all practically relevant features of OpenSCAD. For the sake of completeness, a final chapter briefly presents the functions that were not addressed in any of the projects.
Author: Al Williams
Publisher: Createspace Independent Publishing Platform
ISBN: 9781500582470
Category : Computer graphics
Languages : en
Pages : 0
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Book Description
The future belongs to 3D printing. But printers can only create what you can imagine. Al Williams takes you step-by-step through the process of developing a 3D model used to drive a 3D printer to make your design dreams a reality.
Author: Joshua M. Pearce
Publisher: Newnes
ISBN: 012410486X
Category : Science
Languages : en
Pages : 291
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Book Description
Open-Source Lab: How to Build Your Own Hardware and Reduce Scientific Research Costs details the development of the free and open-source hardware revolution. The combination of open-source 3D printing and microcontrollers running on free software enables scientists, engineers, and lab personnel in every discipline to develop powerful research tools at unprecedented low costs.After reading Open-Source Lab, you will be able to: - Lower equipment costs by making your own hardware - Build open-source hardware for scientific research - Actively participate in a community in which scientific results are more easily replicated and cited - Numerous examples of technologies and the open-source user and developer communities that support them - Instructions on how to take advantage of digital design sharing - Explanations of Arduinos and RepRaps for scientific use - A detailed guide to open-source hardware licenses and basic principles of intellectual property
Author: John Clark Craig
Publisher:
ISBN:
Category :
Languages : en
Pages : 238
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Book Description
The Numworks calculator is, in several ways, an improvement over the Texas Instruments and Casio calculators. Those other calculators have been with us for several decades now, with only a very, very slow evolution in their capabilities. On the other hand, consider a few of the Numworks progressive new features and its innovative design. The Numworks calculator's keyboard and user interface is modeled after standard game controllers, making its learning curve so much quicker for today's students. The whole calculator is open sourced - even the plastic body can be 3D printed using publicly available STL files. But its support of Python takes its power and usefulness to a whole new level. Python is arguably now the world's most popular programming language, for everyone from beginners to top professionals. Like the Numworks calculator, its learning curve is short due to its leaner, cleaner, simpler syntax. Python, and the Numworks calculator, are both powerful enough to support the efforts of engineers working at NASA on the most demanding calculation tasks, and yet they easily support the ease of learning and first use that greatly aid today's students. MicroPython is a substantial subset of the full Python language, and it's a perfect match for the calculations required by programmable calculators. Learn MicroPython and a person has a huge head start on computer programming at all levels. Other old school calculators use unique, proprietary programming languages that don't serve future educational and workplace requirements. This book is a collection of real-world Python programs written explicitly for the Numworks calculator. Because of the nature of Python, these programs are short, easy to read, easy to enter into your calculator, and most importantly easy to understand. They provide a great way to enhance the computational power of the Numworks calculator, and to help beginners learn a standardized, powerful, and very popular programming language. The programs are organized into subject areas to meet varying interests and goals. A set of money calculations helps students grasp personal finance concepts. Another set of programs covers electronics fundamentals. Two and three dimensional analytical geometry programs support today's game creation challenges, and so on. Most everyone will find programs of interest in more than one subject area.
Author: Andrew Glassner
Publisher: No Starch Press
ISBN: 1718500734
Category : Computers
Languages : en
Pages : 1315
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Book Description
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AI Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations
Author: Maxim Lapan
Publisher: Packt Publishing Ltd
ISBN: 1788839307
Category : Computers
Languages : en
Pages : 547
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Book Description
This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems. Key Features Explore deep reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strategies and genetic algorithms Keep up with the very latest industry developments, including AI-driven chatbots Book Description Recent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way. Google’s use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Deep Reinforcement Learning Hands-On is a comprehensive guide to the very latest DL tools and their limitations. You will evaluate methods including Cross-entropy and policy gradients, before applying them to real-world environments. Take on both the Atari set of virtual games and family favorites such as Connect4. The book provides an introduction to the basics of RL, giving you the know-how to code intelligent learning agents to take on a formidable array of practical tasks. Discover how to implement Q-learning on ‘grid world’ environments, teach your agent to buy and trade stocks, and find out how natural language models are driving the boom in chatbots. What you will learn Understand the DL context of RL and implement complex DL models Learn the foundation of RL: Markov decision processes Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others Discover how to deal with discrete and continuous action spaces in various environments Defeat Atari arcade games using the value iteration method Create your own OpenAI Gym environment to train a stock trading agent Teach your agent to play Connect4 using AlphaGo Zero Explore the very latest deep RL research on topics including AI-driven chatbots Who this book is for Some fluency in Python is assumed. Basic deep learning (DL) approaches should be familiar to readers and some practical experience in DL will be helpful. This book is an introduction to deep reinforcement learning (RL) and requires no background in RL.
Author: Stephen A. Thomas
Publisher: No Starch Press
ISBN: 1593276052
Category : Computers
Languages : en
Pages : 381
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Book Description
You've got data to communicate. But what kind of visualization do you choose, how do you build it, and how do you ensure that it's up to the demands of the Web? In Data Visualization with JavaScript, you'll learn how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and will have you building basic visualizations, like bar, line, and scatter graphs, in no time. Then you'll move on to more advanced topics, including how to: Create tree maps, heat maps, network graphs, word clouds, and timelines Map geographic data, and build sparklines and composite charts Add interactivity and retrieve data with AJAX Manage data in the browser and build data-driven web applications Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries If you already know your way around building a web page but aren't quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. Before you know it, you'll be well on your way to creating simple, powerful data visualizations.
