Instant OpenCV Starter by Jayneil Dalal, Sohil Patel

By Jayneil Dalal, Sohil Patel

Get all started with OpenCV utilizing useful, hands-on initiatives with this booklet and ebook

Overview

  • Learn anything new straight away! a brief, quick, concentrated advisor providing fast results
  • Step by way of step set up of OpenCV in home windows and Linux
  • Examples and code in line with real-life implementation of OpenCV to assist the reader comprehend the significance of this technology
  • Codes and algorithms with distinctive explanations

In Detail

In the electronic age of photo and video sharing, the necessity for desktop imaginative and prescient is at an all time excessive. have a look round you and you'll see that computing device imaginative and prescient is being carried out all over the place. it's getting used in autos, social networking websites, and in quite a few different fields resembling scientific technology, robotics, safeguard, domestic automation, and so forth. this can be the place OpenCV comes into the image. OpenCV is the world's preferred open resource computing device imaginative and prescient library with greater than 500 optimized algorithms for picture and video analysis.

Instant OpenCV Starter is a pragmatic, hands-on consultant to help you comprehend the significance of machine imaginative and prescient in actual existence in addition to some of the various capabilities of the OpenCV library through small programming tasks with uncomplicated, exact explanations.

This publication is helping newbies quick examine OpenCV to enforce a variety of computing device imaginative and prescient comparable initiatives. you are going to first comprehend the significance and functions of laptop imaginative and prescient in actual existence. After that, you are going to find out how to manage OpenCV, by means of a chain of sensible programming initiatives to get you conversant in numerous capabilities within the OpenCV library.

The publication also will specialize in using OpenCV in a couple of remarkable initiatives similar to detecting obstacles in a given snapshot, hiding a picture in a distinct photograph to transmit mystery details (known as picture steganography) in addition to do real-time video processing.

Instant OpenCV Starter will educate you the way to put in and use the OpenCV library for numerous easy desktop imaginative and prescient comparable tasks.

What you'll research from this book

  • Discover the fundamentals of OpenCV
  • Install OpenCV in home windows and Linux
  • Learn trivial OpenCV initiatives corresponding to studying, exhibiting, cropping, and saving images
  • Understand pixel manipulation
  • Apply snapshot conversions
  • Explore photo and video processing
  • Handle troubleshooting

Approach

Get to grips with a brand new expertise, comprehend what it really is and what it might do for you, after which get to paintings with an important positive aspects and tasks.A functional, speedy, and hands-on consultant for Python builders and hobbyists who are looking to start with desktop imaginative and prescient with OpenCV.

Who this booklet is written for

This booklet is superb for builders, hobbyists, and scholars new to machine imaginative and prescient who're seeking to get a great grounding in the best way to use the OpenCV library. It’s assumed that you'll have a few easy event in C/C++ programming.

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Learning Python: Powerful Object-Oriented Programming (3rd by Mark Lutz

By Mark Lutz

Moveable, robust, and a breeze to exploit, Python is perfect for either standalone courses and scripting purposes. With this hands-on publication, you could grasp the basics of the middle Python language speedy and successfully, even if you're new to programming or simply new to Python. when you end, you'll comprehend sufficient in regards to the language to exploit it in any program area you opt. Learning Python is predicated on fabric from writer Mark Lutz's well known education classes, which he's taught over the last decade. each one bankruptcy is a self-contained lesson that is helping you completely comprehend a key part of Python earlier than you proceed. in addition to lots of annotated examples, illustrations, and bankruptcy summaries, each bankruptcy additionally comprises mind Builder, a distinct part with functional routines and overview quizzes that allow you to perform new talents and try out your realizing as you cross. This e-book covers: kinds and Operations -- Python's significant integrated item kinds intensive: numbers, lists, dictionaries, and extra Statements and Syntax -- the code you kind to create and method gadgets in Python, besides Python's normal syntax version services -- Python's simple procedural device for structuring and reusing code Modules -- applications of statements, services, and different instruments prepared into greater parts periods and OOP -- Python's not obligatory object-oriented programming software for structuring code for personalization and reuse Exceptions and instruments -- exception dealing with version and statements, plus a glance at improvement instruments for writing higher courses. Learning Python delivers a deep and whole figuring out of the language that can assist you understand any application-level examples of Python that you just later come upon. If you're able to become aware of what Google and YouTube see in Python, this e-book is find out how to start.

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Mastering Object-oriented Python by Steven Lott

By Steven Lott

This functional example-oriented consultant will train you complex techniques of object-oriented programming in Python. This ebook will current certain examples of virtually all the particular approach names that help developing periods that combine seamlessly with Python's integrated gains. it is going to provide help to use JSON, YAML, Pickle, CSV, XML, Shelve, and SQL to create continual items and transmit gadgets among methods. The e-book additionally covers logging, warnings, unit checking out, configuration documents, and the way to paintings with the command line.

This booklet is damaged into 3 significant components: Pythonic periods through distinctive tools; patience and Serialization; checking out, Debugging, Deploying, and keeping. The specified tools are damaged down into a number of concentration parts: initialization, fundamentals, characteristic entry, callables, contexts, bins, collections, numbers, and extra complicated ideas akin to decorators and mixin periods.

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Python Data Visualization Cookbook (2nd Edition) by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli

By Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli

Over 70 recipes to get you began with well known Python libraries in keeping with the vital suggestions of information visualization

About This Book
Learn tips to manage an optimum Python atmosphere for information visualization
Understand easy methods to import, fresh and arrange your data
Determine diversified ways to facts visualization and the way to decide on the main acceptable in your needs
Who This e-book Is For
If you recognize approximately Python programming and wish to appreciate info, info codecs, information visualization, and the way to take advantage of Python to imagine information then this e-book is for you.

What you are going to Learn
Introduce your self to the basic tooling to establish your operating environment
Explore your information utilizing the functions of normal Python info Library and Panda Library
Draw your first chart and customise it
Use the most well-liked information visualization Python libraries
Make 3D visualizations more often than not utilizing mplot3d
Create charts with pictures and maps
Understand the main applicable charts to explain your data
Know the matplotlib hidden gems
Use plot.ly to proportion your visualization online

In Detail
Python facts Visualization Cookbook will development the reader from the purpose of putting in and constructing a Python surroundings for info manipulation and visualization all of the strategy to 3D animations utilizing Python libraries. Readers will take advantage of over 60 special and reproducible recipes that might advisor the reader in the direction of a greater knowing of information options and the development blocks for next and infrequently extra complicated concepts.
Python information Visualization Cookbook starts off by way of exhibiting the way to arrange matplotlib and the similar libraries which are required for many components of the e-book, earlier than relocating directly to talk about a number of the lesser-used diagrams and charts comparable to Gantt Charts or Sankey diagrams. at the start it makes use of easy plots and charts to extra complicated ones, to make it effortless to appreciate for readers. because the readers will wade through the booklet, they're going to get to grasp concerning the 3D diagrams and animations. Maps are irreplaceable for showing geo-spatial info, so this booklet also will exhibit how you can construct them. within the final bankruptcy, it comprises rationalization on how one can comprise matplotlib into diverse environments, akin to a writing procedure, LaTeX, or easy methods to create Gantt charts utilizing Python.

Style and approach
A step by step recipe established method of facts visualization. the subjects are defined sequentially as cookbook recipes including a code snippet and the ensuing visualization.

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Genetic Algorithms with Python by Clinton Sheppard

By Clinton Sheppard

Get a hands-on creation to desktop studying with genetic algorithms utilizing Python. step by step tutorials construct your talents from hi global! to optimizing one genetic set of rules with one other, and at last genetic programming; hence getting ready you to use genetic algorithms to difficulties on your personal box of expertise. 

  

Genetic algorithms are one of many instruments you should use to use desktop studying to discovering strong, occasionally even optimum, options to difficulties that experience billions of power recommendations. This booklet supplies event making genetic algorithms give you the results you want, utilizing easy-to-follow instance tasks so that you can fall again upon while studying to take advantage of different computing device studying instruments and methods. every one bankruptcy is a step by step instructional that is helping to construct your talents at utilizing genetic algorithms to resolve difficulties utilizing Python. 
  

Python is a high-level, low rite and strong language whose code will be simply understood even through entry-level programmers. when you have event with one other programming language then you definitely should not have any hassle studying Python via induction.
   
Contents

  • A short advent to genetic algorithms 
  • Chapter 1: hi World!- wager a password given the variety of right letters within the wager. construct a mutation engine. 
  • Chapter 2: One Max challenge- Produce an array of bits the place all are 1s. Expands the engine to paintings with any form of gene.  
  • Chapter three: taken care of Numbers- Produce a taken care of integer array. Demonstrates dealing with a number of health pursuits and constraints among genes.  
  • Chapter four: The eight Queens Puzzle- locate secure Queen positions on an 8x8 board after which extend to NxN. Demonstrates the adaptation among phenotype and genotype. 
  • Chapter five: Graph Coloring- colour a map of the us utilizing purely four colours. Introduces ordinary facts units and dealing with documents. additionally introduces utilizing principles to paintings with gene constraints. 
  • Chapter 6: Card challenge- extra gene constraints. Introduces customized mutation, memetic algorithms, and the sum-of-difference method. additionally demonstrates a chromosome the place the best way a gene is used is dependent upon its place within the gene array. 
  • Chapter 7: Knights challenge- locate the minimal variety of knights required to assault all positions on a board. Introduces customized genes and gene-array construction. additionally demonstrates neighborhood minimums and maximums.  
  • Chapter eight: Magic Squares- locate squares the place the entire rows, columns and either diagonals of an NxN matrix have an analogous sum. Introduces simulated annealing. 
  • Chapter nine: Knapsack challenge- Optimize the content material of a box for a number of variables. Introduces department and certain and variable size chromosomes.  
  • Chapter 10: fixing Linear Equations- locate the strategies to linear equations with 2, three and four unknowns. department and certain version. Reinforces genotype flexibility. 
  • Chapter eleven: producing Sudoku- A guided workout in producing Sudoku puzzles. 
  • Chapter 12: touring Salesman challenge (TSP)- locate the optimum path to stopover at towns. Introduces crossover and a pool of parents. 
  • Chapter thirteen: Approximating Pi- locate the 2 10-bit numbers whose dividend is closest to Pi. Introduces utilizing one genetic set of rules to track one other.  
  • Chapter 14: Equation iteration- locate the shortest equation that produces a selected end result utilizing addition, subtraction, multiplication, and so forth. Introduces symbolic genetic programming. 
  • Chapter 15: The Lawnmower challenge- Generate a sequence of directions that reason a lawnmower to chop a box of grass. Genetic programming with regulate buildings, gadgets and immediately outlined features (ADFs). 
  • Chapter sixteen: common sense Circuits- Generate circuits that behave like uncomplicated gates, gate combos and at last a 2-bit adder. Introduces tree nodes and hill mountaineering.  
  • Chapter 17: common Expressions- locate common expressions that fit sought after strings. Introduces chromosome fix and progress control. 
  • Chapter 18: Tic-tac-toe- Create principles for taking part in the sport with no wasting. Introduces match selection.

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Python for Finance: Analyze Big Financial Data by Yves Hilpisch

By Yves Hilpisch

The monetary has followed Python at a huge price lately, with a number of the greatest funding banks and hedge money utilizing it to construct center buying and selling and possibility administration platforms. This hands-on advisor is helping either builders and quantitative analysts start with Python, and courses you thru crucial points of utilizing Python for quantitative finance.

Using useful examples during the publication, writer Yves Hilpisch additionally indicates you ways to increase a full-fledged framework for Monte Carlo simulation-based derivatives and probability analytics, in keeping with a wide, practical case learn. a lot of the ebook makes use of interactive IPython Notebooks, with themes that include:

* basics: Python information constructions, NumPy array dealing with, time sequence research with pandas, visualization with matplotlib, excessive functionality I/O operations with PyTables, date/time info dealing with, and chosen most sensible practices
* monetary themes: mathematical strategies with NumPy, SciPy and SymPy equivalent to regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; records for normality checks, mean-variance portfolio optimization, central part research (PCA), and Bayesian regression
* certain issues: functionality Python for monetary algorithms, corresponding to vectorization and parallelization, integrating Python with Excel, and construction monetary functions in response to net applied sciences

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web2py Application Development Cookbook by Richard Gordon, Pablo Martin Mulone, Mariano Reingart,

By Richard Gordon, Pablo Martin Mulone, Mariano Reingart, Visit Amazon's Bruno Cezar Rocha Page, search results, Learn about Author Central, Bruno Cezar Rocha, , Jonathan Lundell, Michele Comitini, Massimo Di Pierro

This can be a cookbook and you'll learn the chapters in any order. The recipes don't need to be learn sequentially. There are a very good quantity of code examples and proper screenshots to ease studying pains. the objective viewers are Python builders with easy wisdom of web2py who are looking to achieve additional wisdom of web2py

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A Student's Guide to Python for Physical Modeling by Jesse M. Kinder, Philip Nelson

By Jesse M. Kinder, Philip Nelson

Python is a working laptop or computer programming language that's swiftly rising in popularity during the sciences. A Student's advisor to Python for actual Modeling goals that can assist you, the scholar, train your self adequate of the Python programming language to start with actual modeling. you are going to easy methods to set up an open-source Python programming atmosphere and use it to complete many universal medical computing projects: uploading, exporting, and visualizing information; numerical research; and simulation. No previous programming adventure is assumed.

This instructional specializes in basics and introduces a variety of precious thoughts, including:

  • Basic Python programming and scripting
  • Numerical arrays
  • Two- and 3-dimensional graphics
  • Monte Carlo simulations
  • Numerical tools, together with fixing usual differential equations
  • Image processing
  • Animation

Numerous code samples and exercises--with solutions--illustrate new principles as they're brought. Web-based assets additionally accompany this consultant and comprise code samples, information units, and more.

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Web Scraping with Python: Collecting Data from the Modern by Ryan Mitchell

By Ryan Mitchell

Learn internet scraping and crawling suggestions to entry limitless facts from any net resource in any layout. With this sensible advisor, you'll how you can use Python scripts and internet APIs to collect and technique info from thousands—or even millions—of web content at once.

Ideal for programmers, safety pros, and net directors acquainted with Python, this ebook not just teaches uncomplicated net scraping mechanics, but additionally delves into extra complicated themes, resembling studying uncooked facts or utilizing scrapers for frontend web site checking out. Code samples can be found that can assist you comprehend the recommendations in practice.

• tips on how to parse complex HTML pages
• Traverse a number of pages and sites
• Get a basic evaluation of APIs and the way they work
• study a number of tools for storing the information you scrape
• obtain, learn, and extract info from documents
• Use instruments and strategies to scrub badly formatted data
• learn and write usual languages
• move slowly via varieties and logins
• know the way to scrape JavaScript
• research picture processing and textual content reputation

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Fundamentals of Programming Languages by Ellis Horowitz (auth.)

By Ellis Horowitz (auth.)

" .. .1 continuously labored with programming languages since it appeared to me that until eventually you may comprehend these, you actually could not comprehend pcs. realizing them does not rather suggest purely with the ability to use them. lots of people can use them with no realizing them." Christopher Strachey the advance of programming languages is likely one of the best highbrow achievements of the hot self-discipline known as computing device technological know-how. And but, there is not any different topic that i do know of, that has such emotionalism and mystique linked to it. hence, my try and write approximately this hugely charged topic is concerned about a great deal of in my position as professor i've got felt the necessity for a warning. however, glossy remedy of this topic. conventional books on programming languages are like abbreviated language manuals, yet this e-book takes a essentially assorted viewpoint. i think that the very best option to research and comprehend trendy programming languages is by way of targeting a couple of crucial thoughts. those innovations shape the description for this ebook and comprise such issues as variables, expressions, statements, typing, scope, strategies, info kinds, exception dealing with and concurrency. through knowing what those ideas are and the way they're discovered in numerous programming languages, one arrives at a degree of comprehension a long way more than one will get through writing a few courses in a xii Preface few languages. additionally, wisdom of those recommendations offers a framework for knowing destiny language designs.

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