Jaringan Terstruktur Memahami Vlan Spanning Jaringan Terstruktur Memahami Vlan Spanning Tree Dan Keamanan Jaringan Ieee
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Python for Programmers
The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.
Discrete Mathematics by Example
Designed for an undergraduate course, this book provides exercises and examples, enabling the development of students' understanding of the principles of discrete mathematics through appropriate pedagogical methods. It includes information such as on propositional and predicate logic, typed set theory, boolean algebra, induction and graph theory.
SOFTWARE PROJECT MANAGEMENT
Author: KELKAR, S. A.
language: en
Publisher: PHI Learning Pvt. Ltd.
Release Date: 2012-12-18
This well-established and highly appreciated book, now in its Third Edition, continues to build on the strength of the previous two editions. While retaining many of the existing topics, Professor S.A. Kelkar, with his wealth of experience and expertise, gives an uptodate analysis of the subject, incorporating several new topics. The book is suffused with illustrations to reinforce the concepts discussed. As software project management is a core course in Computer Science and Engineering and Information Technology, and is a preferred choice of many management students, this book should be treasured by the readers, both for its utility and novelty of treatment. Intended as a text for undergraduate and postgraduate students of Computer Science and Engineering and Information Technology, this concise and compact book would be extremely useful also to the postgraduate students of Computer Applications and postgraduate students of Management specializing in IT. New to This Edition Three Appendices on Nutshell: Managing Complex Projects; Overview of IT Service Management; and Emotional Intelligence in Project Management are included. Chapter 1 has been reorganized to make it more comprehensive. Chapter 2 has been split into three chapters (Chapters 2, 3 and 4). Each chapter deals with project management basics, planning, and control, emphasizing stakeholder management, quality management, and earned management.