Python Programmieren Lernen Mit Minecraft Book PDF, EPUB Download & Read Online Free

Python programmieren lernen
Author: Craig Richardson
Publisher: dpunkt.verlag
ISBN: 3960882963
Pages: 392
Year: 2017-08-07
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Mit diesem Buch lernst du spielend leicht zu programmieren – in Minecraft und mit der Programmiersprache Python. Dazu brauchst du nur einen Windows-PC, Mac oder einen Raspberry Pi sowie einen Internet-Anschluss. In jedem Kapitel lernst du mehr über das Programmieren mit Python und wendest es direkt in Minecraft an. Zum Beispiel helfen dir Variablen beim Teleportieren, Strings beim Chatten mit Mitspielern und mit if-Anweisungen und while-Schleifen schreibst du schon bald deine ersten kleinen Spiele in Minecraft. Dann kommen die Funktionen – mit ihnen und mit dem bisher Gelernten stampfst du Bauwerke und ganze Städte aus dem Boden (und lässt sie ebenso schnell verschwinden)! Du lernst, wie du mit einem kleinen Python-Programm komplette Gebäude kopierst, speicherst und überall in Minecraft auf Knopfdruck aufrufst. Zum Schluss steigst du in die Objektorientierung ein und machst dich mit Klassen, Objekten und Vererbung vertraut, um schließlich mit Python zu programmieren wie ein echter Profi. Alle Programmcode-Beispiele kannst du online herunterladen. (Hinweis: dieses Buch ist eine unveränderte Neuauflage von "Python programmieren lernen mit Minecraft". Dieses Buch ist kein offizielles Minecraft-Produkt, nicht von Mojang genehmigt oder mit Mojang verbunden.)
Python programmieren lernen mit Minecraft
Author: Craig Richardson
Publisher:
ISBN: 3864919584
Pages: 392
Year: 2016-08-18
View: 1090
Read: 540
Mit diesem Buch lernst du spielend leicht zu programmieren – in Minecraft und mit der Programmiersprache Python. Dazu brauchst du nur einen Windows-PC, Mac oder einen Raspberry Pi sowie einen Internet-Anschluss. In jedem Kapitel lernst du mehr über das Programmieren mit Python und wendest es direkt in Minecraft an. Zum Beispiel helfen dir Variablen beim Teleportieren, Strings beim Chatten mit Mitspielern und mit if-Anweisungen und while-Schleifen schreibst du schon bald deine ersten kleinen Spiele in Minecraft. Dann kommen die Funktionen – mit ihnen und mit dem bisher Gelernten stampfst du Bauwerke und ganze Städte aus dem Boden (und lässt sie ebenso schnell verschwinden)! Du lernst, wie du mit einem kleinen Python-Programm komplette Gebäude kopierst, speicherst und überall in Minecraft auf Knopfdruck aufrufst. Zum Schluss steigst du in die Objektorientierung ein und machst dich mit Klassen, Objekten und Vererbung vertraut, um schließlich mit Python zu programmieren wie ein echter Profi. Alle Programmcode-Beispiele kannst du online herunterladen.
Let‘s Play. Programmieren lernen mit Python und Minecraft
Author: Daniel Braun
Publisher: MITP-Verlags GmbH & Co. KG
ISBN: 3958453821
Pages: 296
Year: 2016-12-16
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Learn to Program with Minecraft
Author: Craig Richardson
Publisher: No Starch Press
ISBN: 1593277458
Pages: 336
Year: 2015-12-01
View: 1167
Read: 371
You’ve bested creepers, traveled deep into caves, and maybe even gone to The End and back—but have you ever transformed a sword into a magic wand? Built a palace in the blink of an eye? Designed your own color-changing disco dance floor? In Learn to Program with Minecraft®, you’ll do all this and more with the power of Python, a free language used by millions of professional and first-time programmers! Begin with some short, simple Python lessons and then use your new skills to modify Minecraft to produce instant and totally awesome results. Learn how to customize Minecraft to make mini-games, duplicate entire buildings, and turn boring blocks into gold. You’ll also write programs that: –Take you on an automated teleportation tour around your Minecraft world –Build massive monuments, pyramids, forests, and more in a snap! –Make secret passageways that open when you activate a hidden switch –Create a spooky ghost town that vanishes and reappears elsewhere –Show exactly where to dig for rare blocks –Cast a spell so that a cascade of flowers (or dynamite if you’re daring!) follows your every move –Make mischief with dastardly lava traps and watery curses that cause huge floods Whether you’re a Minecraft megafan or a newbie, you’ll see Minecraft in a whole new light while learning the basics of programming. Sure, you could spend all day mining for precious resources or building your mansion by hand, but with the power of Python, those days are over! Requires: Windows 7 or later; OS X 10.10 or later; or a Raspberry Pi. Uses Python 3
Adventures in Python
Author: Craig Richardson
Publisher: John Wiley & Sons
ISBN: 1118951794
Pages: 280
Year: 2015-02-16
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Designed for students who want to learn Python programming, an introduction to related open-source language fundamentals and concepts assumes no prior experience throughout nine video-supported, instructive projects that provide an entry into learning other programming languages. Original.
Minecraft Modding with Forge
Author: Arun Gupta, Aditya Gupta
Publisher: "O'Reilly Media, Inc."
ISBN: 1491918861
Pages: 192
Year: 2015-04-06
View: 726
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Playing Minecraft is a lot of fun, but the game is more engaging, entertaining, and educational when kids learn how to build mods—small programs that let them modify game elements and add content. This family-friendly guide teaches kids and parents how to create mods of different types, using the Minecraft Forge modding tool. No programming experience is needed. You’ll not only build some amazing mods with the book’s easy-to-follow instructions, but you’ll also learn how to work with Java, the same programming language that Minecraft uses. Why wait? Get started with computer programming and be more creative with Minecraft while you’re at it! This book will help you: Learn the fundamentals of Minecraft Forge and other tools, such as Eclipse Start out by building and testing a simple chat message mod Build cool mods that make things explode on contact, and help entities jump higher and climb walls Introduce new Minecraft content, including commands, blocks, items, and recipes and textures Work with Java fundamentals such as classes, methods, annotations, control structures, and arrays Learn techniques for creating your own mods This guide is based on workshops the authors deliver to kids around the world.
Invent Your Own Computer Games with Python, 4th Edition
Author: Al Sweigart
Publisher: No Starch Press
ISBN: 1593277954
Pages: 376
Year: 2017-01-10
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Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level. Learn how to: *Combine loops, variables, and flow control statements into real working programs *Choose the right data structures for the job, such as lists, dictionaries, and tuples *Add graphics and animation to your games with the pygame module *Handle keyboard and mouse input *Program simple artificial intelligence so you can play against the computer *Use cryptography to convert text messages into secret code *Debug your programs and find common errors As you work through each game, you’ll build a solid foundation in Python and an understanding of computer science fundamentals. What new game will you create with the power of Python? The projects in this book are compatible with Python 3.
Python Crash Course
Author: Eric Matthes
Publisher: No Starch Press
ISBN: 1593277393
Pages: 560
Year: 2015-11-01
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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
LETS PLAY MINECRAFT
Author: Daniel Braun
Publisher:
ISBN: 3958453813
Pages:
Year: 2016
View: 1031
Read: 936

Make Your Own Neural Network
Author: Tariq Rashid
Publisher: Createspace Independent Publishing Platform
ISBN: 1530826608
Pages: 222
Year: 2016-03-31
View: 1196
Read: 467
A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.
Think Python
Author: Allen Downey
Publisher: CreateSpace
ISBN: 1466367296
Pages: 234
Year: 2011-09-21
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The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (speci cally computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions. The single most important skill for a computer scientist is problem solving. Problem solving means the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That's why this chapter is called, "The way of the program." On one level, you will be learning to program, a useful skill by itself. On another level, you will use programming as a means to an end. As we go along, that end will become clearer.
Python Machine Learning
Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1783555149
Pages: 454
Year: 2015-09-23
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Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
Python Machine Learning
Author: Sebastian Raschka, Vahid Mirjalili
Publisher: Packt Publishing Ltd
ISBN: 1787126021
Pages: 622
Year: 2017-09-20
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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.
C For Dummies
Author: Dan Gookin
Publisher: John Wiley & Sons
ISBN: 0764573926
Pages: 408
Year: 2004-05-03
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while (dead_horse) beat (): If you’re like most people, the above seems like nonsense. Actually, it’s computer sense—C programming. After digesting C For Dummies, 2nd Edition, you’ll understand it. C programs are fast, concise and versatile. They let you boss your computer around for a change. So turn on your computer, get a free compiler and editor (the book tells you where), pull up a chair, and get going. You won’t have to go far (page 13) to find your first program example. You’ll do short, totally manageable, hands-on exercises to help you make sense of: All 32 keywords in the C language (that’s right—just 32 words) The functions—several dozen of them Terms like printf(), scanf(), gets (), and puts () String variables, numeric variables, and constants Looping and implementation Floating-point values In case those terms are almost as intimidating as the idea of programming, be reassured that C For Dummies was written by Dan Gookin, bestselling author of DOS For Dummies, the book that started the whole library. So instead of using expletives and getting headaches, you’ll be using newly acquired skills and getting occasional chuckles as you discover how to: Design and develop programs Add comments (like post-it-notes to yourself) as you go Link code to create executable programs Debug and deploy your programs Use lint, a common tool to examine and optimize your code A helpful, tear-out cheat sheet is a quick reference for comparison symbols, conversion characters, mathematical doodads, C numeric data types, and more. C For Dummies takes the mystery out of programming and gets you into it quickly and painlessly.
PYTHON 36 TUTORIAL
Author: Guido Van Rossum, Python Dev Team
Publisher: Samurai Media Limited
ISBN: 9888406906
Pages: 150
Year: 2016-12-04
View: 801
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If you do much work on computers, eventually you find that there's some task you'd like to automate. For example, you may wish to perform a search-and-replace over a large number of text files, or rename and rearrange a bunch of photo files in a complicated way. Perhaps you'd like to write a small custom database, or a specialized GUI application, or a simple game. If you're a professional software developer, you may have to work with several C/C++/Java libraries but find the usual write/compile/test/re-compile cycle is too slow. Perhaps you're writing a test suite for such a library and find writing the testing code a tedious task. Or maybe you've written a program that could use an extension language, and you don't want to design and implement a whole new language for your application. Python is just the language for you. This book is a paper version of the freely available electronic documentation of the python project.