Learn IT - Books tags component-based

Begin to Code with Python

Microsoft Press, 2017

Become a Python programmer–and have fun doing it!

Start writing software that solves real problems, even if you have absolutely no programming experience! This friendly, easy, full-color book puts you in total control of your own learning, empowering you to build...

Introduction to the Design and Analysis of Algorithms (3rd Edition)

Pearson Education, 2011

Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal...

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...

Good Habits for Great Coding: Improving Programming Skills with Examples in Python

Apress, 2018

Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more.

Taking an informal, conversational tone,...

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...

Learning Docker - Second Edition: Build, ship, and scale faster

Packt Publishing, 2017

Docker lets you create, deploy, and manage your applications anywhere at anytime – flexibility is key so you can deploy stable, secure, and scalable app containers across a wide variety of platforms and delve into microservices architecture

About This Book

This up-to-date edition...

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

O'Reilly, 2018

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....

Hacking Raspberry Pi

Que, 2013

DIY hardware hacking...easy as Pi ®!

Raspberry Pi is taking off like a rocket! You can use this amazing, dirt-cheap, credit card-sized computer to learn powerful...

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...

Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

John Wiley & Sons, 2011

Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Programming for Engineers: A Foundational Approach to Learning C and Matlab

Springer, 2013

Teaching programming for engineers in a rigorous manner, this volume introduces pointer-based memory manipulation in the first chapter, and moves on from C to Matlab and Octave programming, all of which are important methods for engineers in any sector.

...

Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)

Springer, 2011

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...

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