Programmieren Lernen Mit Python 2nd Edition
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Programmieren Lernen Mit Python 2nd Edition
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Author : Allen Downey
language : en
Publisher:
Release Date : 2014
Programmieren Lernen Mit Python 2nd Edition written by Allen Downey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Python ist eine moderne, interpretierte, interaktive und objektorientierte Skriptsprache, vielseitig einsetzbar und sehr beliebt. Python ist leicht erlernbar und daher die ideale Sprache für den Einstieg in die Welt des Programmierens. Das Buch führt Sie Schritt für Schritt durch die Sprache, beginnend mit grundlegenden Programmierkonzepten, über Funktionen, Syntax und Semantik, Rekursion und Datenstrukturen bis hin zum objekt-orientierten Design. Jenseits reiner Theorie enthält jedes Kapitel entsprechende Übungen, an denen Sie die neu erlernten Programmierkonzepte gleich ausprobieren und festigen können.
Think Python 2nd Edition
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Author : Allen B. Downey
language : en
Publisher:
Release Date : 2016
Think Python 2nd Edition written by Allen B. Downey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Praxisbuch Unsupervised Learning
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Author : Ankur A. Patel
language : de
Publisher: O'Reilly
Release Date : 2020-04-15
Praxisbuch Unsupervised Learning written by Ankur A. Patel and has been published by O'Reilly this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-15 with Computers categories.
Entdecken Sie Muster in Daten, die für den Menschen nicht erkennbar sind Unsupervised Learning könnte der Schlüssel zu einer umfassenderen künstlichen Intelligenz sein Voller praktischer Techniken für die Arbeit mit ungelabelten Daten, verständlich geschrieben und mit unkomplizierten Python-Beispielen Verwendet Scikit-learn, TensorFlow und Keras Ein Großteil der weltweit verfügbaren Daten ist ungelabelt. Auf diese nicht klassifizierten Daten lassen sich die Techniken des Supervised Learning, die im Machine Learning viel genutzt werden, nicht anwenden. Dagegen kann das Unsupervised Learning - auch unüberwachtes Lernen genannt - für ungelabelte Datensätze eingesetzt werden, um aussagekräftige Muster zu entdecken, die tief in den Daten verborgen sind – Muster, die für den Menschen fast unmöglich zu entdecken sind. Wie Data Scientists Unsupervised Learning für ihre Daten nutzen können, zeigt Ankur Patel in diesem Buch anhand konkreter Beispiele, die sich schnell und effektiv umsetzen lassen. Sie erfahren, wie Sie schwer zu findende Muster in Daten herausarbeiten und dadurch z.B. tiefere Einblicke in Geschäftsprozesse gewinnen. Sie lernen auch, wie Sie Anomalien erkennen, automatisches Feature Engineering durchführen oder synthetische Datensätze generieren.
Think Python
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Author : Allen Downey
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-12-02
Think Python written by Allen Downey and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-02 with Computers categories.
If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, youâ??ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies
Think Python
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Author : Allen Downey
language : en
Publisher: CreateSpace
Release Date : 2009
Think Python written by Allen Downey and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computer programming categories.
Python for Software Design is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises. ** Published under the terms of the GNU Free Documentation License. Money raised from the sale of this book supports the development of free software and documentation.
Think Python 2nd Edition
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Author : Allen Downey
language : de
Publisher:
Release Date : 2021
Think Python 2nd Edition written by Allen Downey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Wenn Sie programmieren lernen wollen, eignet sich Python hervorragend als Einstieg. Dieses Praxisbuch führt Sie Schritt für Schritt durch die Sprache, beginnend mit grundlegenden Programmierkonzepten, über Funktionen, Syntax und Semantik, Rekursion und Datenstrukturen bis hin zum objektorientierten Design. Jedes Kapitel enthält ein Glossar der Fachbegriffe sowie passende Übungen und Fallstudien, kurze Verständnistests und kleinere Projekte, an denen Sie die neu erlernten Programmierkonzepte gleich ausprobieren können. Auf diese Weise wenden Sie das Gelernte direkt an und festigen Ihr Verständnis für die konkrete Programmierpraxis. »Allen Downeys Erklärungen sind kristallklar, seine inspirierten Übungen werden Lernende mit unterschiedlichstem Background begeistern.« - Luciano Ramalho, Thoughtworks.
Routineaufgaben Mit Python Automatisieren
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Author : Al Sweigart
language : de
Publisher:
Release Date : 2016
Routineaufgaben Mit Python Automatisieren written by Al Sweigart and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Python And Algorithmic Thinking For The Complete Beginner 2nd Edition
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Author : Aristides S Bouras
language : en
Publisher:
Release Date : 2019-06-16
Python And Algorithmic Thinking For The Complete Beginner 2nd Edition written by Aristides S Bouras and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-16 with categories.
Thoroughly revised for the latest version of Python, this book explains basic concepts in a clear and explicit way that takes very seriously one thing for granted-that the reader knows nothing about computer programming. Addressed to anyone who has no prior programming knowledge or experience, but a desire to learn programming with Python, it teaches the first thing that every novice programmer needs to learn, which is Algorithmic Thinking. Αlgorithmic Thinking involves more than just learning code. It is a problem-solving process that involves learning how to code. This edition contains all the popular features of the previous edition and adds a significant number of exercises, as well as extensive revisions and updates. Apart from Python's lists, it now also covers dictionaries, while a brand new section provides an effective introduction to the next field that a programmer needs to work with, which is Object Oriented Programming (OOP). This book has a class course structure with questions and exercises at the end of each chapter so you can test what you have learned right away and improve your comprehension. With 250 solved and 450 unsolved exercises, 475 true/false, about 150 multiple choice, and 200 review questions and crosswords (the solutions and the answers to which can be found on the Internet), this book is ideal for novices or average programmers, for self-study high school students first-year college or university students teachers professors anyone who wants to start learning or teaching computer programming using the proper conventions and techniques
Think Python
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Author : Allen Downey
language : en
Publisher:
Release Date : 2015
Think Python written by Allen Downey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Python Crash Course 2nd Edition
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Author : Eric Matthes
language : en
Publisher: No Starch Press
Release Date : 2019-05-03
Python Crash Course 2nd Edition written by Eric Matthes and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-03 with Computers categories.
The best-selling Python book in the world, with over 1 million copies sold! A fast-paced, no-nonsense, updated guide to programming in Python. If you've been thinking about learning how to code or picking up Python, this internationally bestselling guide to the most popular programming language is your quickest, easiest way to get started and go! Even if you have no experience whatsoever, Python Crash Course, 2nd Edition, will have you writing programs, solving problems, building computer games, and creating data visualizations in no time. You’ll begin with basic concepts like variables, lists, classes, and loops—with the help of fun skill-strengthening exercises for every topic—then move on to making interactive programs and best practices for testing your code. Later chapters put your new knowledge into play with three cool projects: a 2D Space Invaders-style arcade game, a set of responsive data visualizations you’ll build with Python's handy libraries (Pygame, Matplotlib, Plotly, Django), and a customized web app you can deploy online. Why wait any longer? Start your engine and code!