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Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...
Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Digital Signal Processing System Design, Second Edition: LabVIEW-Based Hybrid Programming
Digital Signal Processing System Design, Second Edition: LabVIEW-Based Hybrid Programming
The ideal book for quickly developing DSP systems by integrating MATLAB or C code into the LabVIEW graphical programming environment.

Reflecting LabView's new MathScripting feature, the new edition of this book combines textual and graphical programming to form a hybrid programming approach, enabling a more effective means of
...
Learning Raspberry Pi
Learning Raspberry Pi

Unlock your creative programming potential by creating web technologies, image processing, electronics- and robotics-based projects using the Raspberry Pi

About This Book

  • Learn how to create games, web, and desktop applications using the best features of the Raspberry Pi
  • Discover the...
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

Image Processing in C
Image Processing in C
This book is a tutorial on image processing. Each chapter explains basic concepts with words and figures, shows image processing results with pho- tographs, and implements the operations in C. Information herein comes from articles published in The C/C++ Users Journal from 1990 through 1998 and from the first edition of this book...
Website Scraping with Python: Using BeautifulSoup and Scrapy
Website Scraping with Python: Using BeautifulSoup and Scrapy
Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their features and efficiency. Focusing on BeautifulSoup4 and Scrapy, this concise, focused book highlights common problems and suggests...
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.

You’ll start by covering the mathematical prerequisites...
Programming: Principles and Practice Using C++
Programming: Principles and Practice Using C++

An Introduction to Programming by the Inventor of C++

 

Preparation for Programming in the Real World

 

The book assumes that you aim eventually to write...

RESTful Java Web Services - Second Edition
RESTful Java Web Services - Second Edition

Design scalable and robust RESTful web services with JAX-RS and Jersey extension APIs

About This Book

  • Get to grips with the portable Java APIs used for JSON processing
  • Design solutions to produce, consume, and visualize RESTful web services using WADL, RAML, and Swagger
  • A...
Python 3 Text Processing with NLTK 3 Cookbook
Python 3 Text Processing with NLTK 3 Cookbook

Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0

About This Book

  • Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
  • Learn how to do custom sentiment analysis and named entity...
Building Python Real-Time Applications with Storm
Building Python Real-Time Applications with Storm

Learn to process massive real-time data streams using Storm and Python―no Java required!

About This Book

  • Learn to use Apache Storm and the Python Petrel library to build distributed applications that process large streams of data
  • Explore sample applications in real-time and analyze...
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