Showing results for "mei lu"
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Python Web Scraping Cookbook
Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
2018
EN
Untangle your web scraping complexities and access web data with ease using Python scriptsKey FeaturesHands-on recipes for advancing your web scraping skills to expert levelOne-stop solution guide to address complex and challenging web scraping tasks using PythonUnderstand web page structures and collect data from a website with easeBook DescriptionPython Web Scraping Cookbook is a solution-focused book that will teach you te...
Frontiers in Algorithmics
13th International Workshop, FAW 2019, Sanya, China, April 29 – May 3, 2019, Proceedings
2019
EN
This book constitutes the proceedings of the 13th International Workshop on Frontiers in Algorithmics, FAW 2019, held in Sanya, China, in April/May 2019.The 15 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The workshop provides a focused forum on current trends of research on algorithms, discrete structures, and their applications, and brings together international experts at the research frontiers in these areas to exchange ideas an...
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2012
EN
You don’t have to be a techie to use FileMaker Pro 12, but you do need to know what you’re doing. With this crystal-clear guide, you’ll learn how to create a powerful database that lets you do almost anything with your data. Whether you’re running a business, printing a catalog, or planning a wedding, you’ll learn how to customize your database and put it to work.The important stuff you need to know:Get started. Tour FileMaker Pro’s features and creat...
2011
EN
This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:Data issues -- The opportunities and ambiguities of the data space are evident in discussions...
Elasticsearch: The Definitive Guide
A Distributed Real-Time Search and Analytics Engine
2015
EN
Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships.If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into y...
Python Programming for Arduino
Develop practical Internet of Things prototypes and applications with Arduino and Python
2015
EN
Develop practical Internet of Things prototypes and applications with Arduino and Python Key FeaturesTransform your hardware ideas into real-world applications using Arduino and PythonDesign and develop hardware prototypes, interactive user interfaces, and cloud-connected applications for your projectsExplore and expand examples to enrich your connected device’s applications with this step-by-step guideBook DescriptionThis is...
Cython
A Guide for Python Programmers
2015
EN
Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational packages such as NumPy, and prominent in projects including Pandas, h5py, and scikits-learn. In this practical guide, you’ll learn how to use Cython to improve Python’s performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.Author Kurt Smith takes you through Cython’s ca...
Executing Data Quality Projects
Ten Steps to Quality Data and Trusted InformationTM
2008
EN
Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. In this important and timely new book, Danette McGilvray presents her "Ten Steps approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her tr...
Essential SQLAlchemy
Mapping Python to Databases
2015
EN
Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata.SQL is a powerful language for querying and manipulating data, but it’s tough to integrate it with your application. SQL...
Python Data Analytics
Data Analysis and Science using pandas, matplotlib and the Python Programming Language
2015
EN
Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving informati...
OpenCV 3.x with Python By Example
Make the most of OpenCV and Python to build applications for object recognition and augmented reality
2018
EN
Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.Key Features\[\*\] Learn how to apply complex visual effects to images with OpenCV 3.x and Python\[\*\] Extract features from an image and use them to develop advanced applications\[\*\] Build algorithms to help you understand image content and perform visual searches\[\*...
Big Data for Chimps
A Guide to Massive-Scale Data Processing in Practice
2015
EN
Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems.Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to br...











