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Python Web Scraping: Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python, 2nd Edition
Python Web Scraping: Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python, 2nd Edition

Successfully scrape data from any website with the power of Python 3.x

Key Features

  • A hands-on guide to web scraping using Python with solutions to real-world problems
  • Create a number of different web scrapers in Python to extract information
  • This book...
Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)
Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for...

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Internet of Things and Data Analytics Handbook
Internet of Things and Data Analytics Handbook

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing...

Angular: Up and Running: Learning Angular, Step by Step
Angular: Up and Running: Learning Angular, Step by Step

If you’re familiar with JavaScript, this hands-on guide will quickly get you up to speed on the Angular framework for building high-performance web-based desktop, mobile, and single-page applications. Initially dubbed Angular 2, this version is a complete rewrite from the same team that built the initial version of AngularJS....

Building Modern Web Applications Using Angular
Building Modern Web Applications Using Angular

Key Features

  • Learn about the core building blocks of Angular
  • Build and architect high performance web applications
  • Implement the latest JavaScript concepts in ECMAScript 2015, ECMAScript 2016, and TypeScript
  • Leverage the latest Angular features to get the most out of your web...
Docker Bootcamp
Docker Bootcamp

Fast, intensive, and effective Docker learning

About This Book

  • Get well-versed with Docker in 7 days
  • Identify and resolve common problems faced by users while working with Docker
  • A fast-paced guide that will focus on all the core Docker functionalities

...

Control of Noise and Structural Vibration: A MATLAB®-Based Approach
Control of Noise and Structural Vibration: A MATLAB®-Based Approach
Control of Noise and Structural Vibration presents a MATLAB®-based approach to solving the problems of undesirable noise generation and transmission by structures and of undesirable vibration within structures in response to environmental or operational forces. The fundamentals of acoustics, vibration and coupling between vibrating...
Python Data Science Handbook: Essential Tools for Working with Data
Python Data Science Handbook: Essential Tools for Working with Data

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,...

Practical Data Science Cookbook - Second Edition
Practical Data Science Cookbook - Second Edition

Over 85 recipes to help you complete real-world data science projects in R and Python

About This Book

  • Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data
  • Get beyond the theory and implement real-world projects in data science using...
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics
Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Key Features

  • This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
  • Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
  • Get simple examples and real-life data...
Docker Orchestration
Docker Orchestration

Key Features

  • Explore the new features added to the core Docker Engine to make multi-container orchestration easy
  • Leverage tools such as Docker Machine, Swarm, Compose, and third-party tools such as Kubernetes, Mesosphere, and CoreOS to orchestrate containers
  • Use Docker Compose with Swarm and...
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