Angebote zu "Python" (70 Treffer)

Python - kurz & gut
€ 14.90 *
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Die objektorientierte Sprache Python eignet sich hervorragend zum Schreiben von Skripten, Programmen und Prototypen. Sie ist frei verfügbar, leicht zu lernen und zwischen allen wichtigen Plattformen portabel, einschließlich Linux, Unix, Windows und Mac OS. Damit Sie im Programmieralltag immer den Überblick behalten, sind die verschiedenen Sprachmerkmale und Elemente in Python - kurz & gut übersichtlich zusammengestellt. Für Auflage 5 wurde die Referenz komplett überarbeitet, erweitert und auf den neuesten Stand gebracht, so dass sie die beiden aktuellen Versionen 2.7 und 3.4 berücksichtigt. Python - kurz & gut behandelt unter anderem: Eingebaute Typen wie Zahlen, Listen, Dictionarys u.v.a. Anweisungen und Syntax für Entwicklung und Ausführung von Objekten Die objektorientierten Entwicklungstools in Python Eingebaute Funktionen, Ausnahmen und Attribute Spezielle Methoden zur Operatorenüberladung Weithin benutzte Standardbibliotheksmodule und Erweiterungen Kommandozeilenoptionen und Entwicklungswerkzeuge Mark Lutz stieg 1992 in die Python-Szene ein und ist seitdem als aktiver Pythonista bekannt. Er gibt Kurse, hat zahlreiche Bücher geschrieben und mehrere Python-Systeme programmiert.

Anbieter: buecher.de
Stand: Mar 20, 2019
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Das große Python Workbook
€ 16.90 *
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Eine Programmiersprache lernen heißt, eine Sprache neu zu lernen. Dieses Arbeitsbuch ist als Workbook aufbereitet, wie Sie es vom Sprachunterricht, z.B. in Englisch, kennen. Neben der schrittweisen Erklärung der Inhalte finden Sie vielerlei Aufgaben und Übungen, die Ihnen Schritt für Schritt die Programmierung näher bringen. Das Buch ist besonders für den schulischen Unterricht in Gymnasien, Kollegs und in der gymnasialen Oberstufe geeignet. Für Selbstlerner gibt es zudem einen Löser mit allen Lösungen zu den Übungsaufgaben!

Anbieter: buecher.de
Stand: Mar 20, 2019
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Deep Learning with Applications Using Python
€ 26.99 *
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Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning. This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. What You Will Learn Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn. Use face recognition and face detection capabilities Create speech-to-text and text-to-speech functionality Engage with chatbots using deep learning Who This Book Is For Data scientists and developers who want to adapt and build deep learning applications.

Anbieter: buecher.de
Stand: Mar 20, 2019
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Data Wrangling with Python
€ 28.99 *
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Anbieter: buecher.de
Stand: Mar 20, 2019
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Data Visualization with Python and Javascript
€ 31.99 *
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Anbieter: buecher.de
Stand: Mar 20, 2019
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Data Science Using Python and R
€ 106.99 *
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Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world´s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist ´´the hottest job in America.´´ Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.

Anbieter: buecher.de
Stand: Mar 20, 2019
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Introduction to Machine Learning with Python
€ 34.99 *
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Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.

Anbieter: buecher.de
Stand: Mar 22, 2019
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Applied Text Analysis with Python
€ 40.99 *
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Anbieter: buecher.de
Stand: Mar 20, 2019
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Classic Computer Science Problems in Python
€ 41.99 *
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Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you´ll remember important things you´ve forgotten and discover classic solutions to your ´´new´´ problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you´ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you´ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning´s Classic Computer Science Problemsin Swift.

Anbieter: buecher.de
Stand: Mar 20, 2019
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Applied Natural Language Processing with Python
€ 21.99 *
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Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment. What You Will Learn Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms Who This Book Is For You should be at least a beginner in ML to get the most out of this text, but you needn´t feel that you need be an expert to understand the content.

Anbieter: buecher.de
Stand: Mar 20, 2019
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