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SQL Primer: An Accelerated Introduction to SQL Basics

Apress, 2018

Modern society is driven by data. Whether it is at a personal level, like a notebook containing scribbled notes; or at a countrywide level like Census data, it has permeated all our workflows. There is always a growing need to efficiently store and organize it so that meaningful information can be extracted out of raw data. ...

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

Packt Publishing, 2017

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...

Combinatorial Optimization: Theory and Algorithms (Algorithms and Combinatorics)

Springer, 2012

This comprehensive textbook on combinatorial optimization places special emphasis on theoretical results and algorithms with provably good performance, in contrast to heuristics. It is based on numerous courses on combinatorial optimization and specialized topics, mostly at graduate level. This book reviews the...

The Art of R Programming: A Tour of Statistical Software Design

No Starch Press, 2011

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

...

Sensors: Theory, Algorithms, and Applications (Springer Optimization and Its Applications)

Springer, 2011

In recent years, technological advances have resulted in the rapid development of a new exciting research direction – the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. Application areas include military surveillance, environmental screening, computational neuroscience,...

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

Apress, 2017

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...

AWS Certified Advanced Networking Official Study Guide: Specialty Exam

Sybex, 2018

The official study guide for the AWS certification specialty exam

The AWS Certified Advanced Networking Official Study Guide – Specialty Exam helps to ensure your preparation for the AWS Certified Advanced Networking – Specialty Exam. Expert review of AWS fundamentals align with the exam objectives,...

Assembly Language Programming: ARM Cortex-M3

John Wiley & Sons, 2012

ARM designs the cores of microcontrollers which equip most "embedded systems" based on 32-bit processors. Cortex M3 is one of these designs, recently developed by ARM with microcontroller applications in mind. To conceive a particularly optimized piece of software (as is often the case in the world of embedded systems) it...

Scientific Computing with Python 3

Packt Publishing, 2016

Key Features

Your ultimate resource for getting up and running with Python numerical computations

Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules

A hands-on guide to implementing mathematics with Python, with complete...

Numerical Methods for the Life Scientist: Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB

Springer, 2011

Enzyme kinetics, binding kinetics and pharmacological dose-response curves are currently analyzed by a few standard methods. Some of these, like Michaelis-Menten enzyme kinetics, use plausible approximations, others, like Hill equations for dose-response curves, are outdated. Calculating realistic reaction schemes requires numerical...

Real-Time Systems and Programming Languages: Ada, Real-Time Java and C/Real-Time POSIX (4th Edition) (International Computer Science Series)

Pearson Education, 2009

How do real-time systems differ from normal information systems? Which languages are best for implementing different real-time systems?

The fourth edition of this best-selling text on real-time systems answers these and other questions. It provides an in-depth analysis of the requirements for designing and...

Practical Statistics for Data Scientists: 50 Essential Concepts

O'Reilly, 2017

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their...

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