Programming Computer Vision with Python: Tools and algorithms for analyzing images

By Jan Erik Solem

If you will want a uncomplicated figuring out of machine vision’s underlying concept and algorithms, this hands-on creation is definitely the right position to begin. You’ll study suggestions for item attractiveness, 3D reconstruction, stereo imaging, augmented truth, and different desktop imaginative and prescient purposes as you persist with transparent examples written in Python.

Programming computing device imaginative and prescient with Python explains desktop imaginative and prescient in huge phrases that won’t lavatory you down in conception. You get entire code samples with factors on tips on how to reproduce and construct upon every one instance, in addition to workouts that will help you follow what you’ve realized. This ebook is perfect for college kids, researchers, and lovers with uncomplicated programming and traditional mathematical skills.

  • Learn strategies utilized in robotic navigation, clinical snapshot research, and different laptop imaginative and prescient applications
  • Work with photo mappings and transforms, resembling texture warping and landscape creation
  • Compute 3D reconstructions from a number of pictures of an analogous scene
  • Organize photos in accordance with similarity or content material, utilizing clustering methods
  • Build effective snapshot retrieval thoughts to look for photographs according to visible content
  • Use algorithms to categorise picture content material and realize objects
  • Access the preferred OpenCV library via a Python interface

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Data Structures and Algorithms in Python

By Michael T. Goodrich

Based at the authors’ marketplace prime info buildings books in Java and C++, this book bargains a accomplished, definitive creation to facts constructions in Python by way of authoritative authors. Data buildings and Algorithms in Python is the 1st authoritative object-oriented publication to be had for Python info constructions. Designed to supply a complete creation to info buildings and algorithms, together with their layout, research, and implementation, the textual content will preserve an identical common constitution as Data buildings and Algorithms in Java and Data constructions and Algorithms in C++.

  • Begins by way of discussing Python’s conceptually uncomplicated syntax, which permits for a better specialize in concepts.
  • Employs a constant object-oriented standpoint during the text.
  • Presents every one facts constitution utilizing ADTs and their respective implementations and introduces vital layout styles as a way to arrange these implementations into sessions, equipment, and objects.
  • Provides an intensive dialogue at the research and layout of primary info structures.
  • Includes many useful Python code examples, with resource code supplied at the website.
  • Uses illustrations to offer facts buildings and algorithms, in addition to their research, in a transparent, visible manner.
  • Provides hundreds and hundreds of workouts that advertise creativity, aid readers find out how to imagine like programmers, and make stronger very important concepts.
  • Contains many Python-code and pseudo-code fragments, and thousands of workouts, that are divided into approximately forty% reinforcement workouts, forty% creativity routines, and 20% programming projects.

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Making Use of Python

By Rashi Gupta

Python is a multipurpose improvement language that may be used on nearly each platform. It bargains integrated help for serious improvement steps together with info constructions, dynamic typing, and dynamic development. it may be utilized in lieu of Java or C++, and Python scripts may be constructed in a fragment of the time it takes to software and debug higher-level languages.

  • Covers language fundamentals and the way to take advantage of Python for CGI scripting, GUI improvement, community programming, and lots more and plenty more
  • Demonstrates why Python is arguably the main subtle of the preferred scripting languages and why its reputation maintains to grow

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The Art of Prolog: Advanced Programming Techniques (Mit Press Series in Logic Programming)

By Leon Sterling

This new version of The artwork of Prolog incorporates a variety of vital alterations. such a lot historical past sections on the finish of every bankruptcy were up-to-date to take account of vital fresh examine effects, the references were tremendously extended, and extra complex routines were additional that have been used effectively in educating the course.

half II, The Prolog Language, has been converted to be appropriate with the recent Prolog usual, and the bankruptcy on software improvement has been considerably altered: the predicates outlined were moved to extra applicable chapters, the part on potency has been moved to the significantly improved bankruptcy on cuts and negation, and a brand new part has been further on stepwise enhancement—a systematic method of creating Prolog courses built through Leon Sterling.

All yet one of many chapters partly III, complicated Prolog Programming strategies, were considerably replaced, with a few significant rearrangements. a brand new bankruptcy on interpreters describes a rule language and interpreter for specialist structures, which greater illustrates how Prolog will be used to build specialist platforms. The bankruptcy on application transformation is totally new and the bankruptcy on common sense grammars provides new fabric for spotting basic languages, exhibiting how grammars follow to extra machine technological know-how examples.

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Introduction to Computation and Programming Using Python: With Application to Understanding Data (MIT Press)

This ebook introduces scholars with very little earlier programming adventure to the artwork of computational challenge fixing utilizing Python and numerous Python libraries, together with PyLab. It presents scholars with talents that would let them to make efficient use of computational innovations, together with a few of the instruments and strategies of information technology for utilizing computation to version and interpret facts. The e-book is predicated on an MIT direction (which turned the preferred path provided via MIT's OpenCourseWare) and was once built to be used not just in a traditional school room yet in in a huge open on-line direction (MOOC). This new version has been up to date for Python three, reorganized to enable you to use for classes that conceal just a subset of the cloth, and gives extra fabric together with 5 new chapters.

Students are brought to Python and the fundamentals of programming within the context of such computational techniques and methods as exhaustive enumeration, bisection seek, and effective approximation algorithms. even though it covers such conventional themes as computational complexity and easy algorithms, the ebook makes a speciality of a variety of themes no longer present in so much introductory texts, together with info visualization, simulations to version randomness, computational suggestions to appreciate information, and statistical concepts that tell (and deceive) in addition to similar yet really complicated subject matters: optimization difficulties and dynamic programming. This version deals improved fabric on facts and desktop studying and new chapters on Frequentist and Bayesian statistics.

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Getting Started with Pyparsing

By Paul McGuire

Have to extract information from a textual content dossier or an internet web page? Or do you need to make your program extra versatile with user-defined instructions or seek strings? Do average expressions and lex/yacc make your eyes blur and your mind hurt?

Pyparsing may be the resolution. Pyparsing is a pure-Python type library that makes it effortless to construct recursive-descent parsers fast. there isn't any have to handcraft your personal parsing country desktop. With pyparsing, you could speedy create HTML web page scrapers, logfile info extractors, or advanced facts constitution or command processors. This brief minimize exhibits you the way!

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Data Analysis with Open Source Tools

By Philipp K. Janert

Nowadays it kind of feels like everyone seems to be gathering information. yet all of that info is simply uncooked details -- to make that info significant, it should be equipped, filtered, and analyzed. someone can observe information research instruments and get effects, yet with no the perfect method these effects can be lifeless.

Author Philipp Janert teaches you the way to think approximately information: how one can successfully method facts research difficulties, and the way to extract the entire to be had details out of your facts. Janert covers univariate information, facts in a number of dimensions, time sequence facts, graphical suggestions, facts mining, desktop studying, and lots of different themes. He additionally unearths how seat-of-the-pants wisdom can lead you to the simplest method correct from the beginning, and the way to evaluate effects to figure out if they are meaningful.

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Think Complexity: Complexity Science and Computational Modeling

Expand your Python abilities by way of operating with facts buildings and algorithms in a clean context—through an eye-opening exploration of complexity technological know-how. no matter if you’re an intermediate-level Python programmer or a scholar of computational modeling, you’ll delve into examples of advanced structures via a sequence of routines, case reports, and easy-to-understand explanations.

You’ll paintings with graphs, set of rules research, scale-free networks, and mobile automata, utilizing complicated positive factors that make Python one of these strong language. excellent as a textual content for classes on Python programming and algorithms, Think Complexity also will support self-learners achieve worthy adventure with issues and concepts they may not come across otherwise.

  • Work with NumPy arrays and SciPy tools, uncomplicated sign processing and speedy Fourier remodel, and hash tables
  • Study summary types of complicated actual structures, together with strength legislation, fractals and purple noise, and Turing machines
  • Get starter code and strategies that will help you re-implement and expand unique experiments in complexity
  • Explore the philosophy of technology, together with the character of medical legislation, idea selection, realism and instrumentalism, and different topics
  • Examine case experiences of complicated platforms submitted by means of scholars and readers

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Python Cookbook

Python is recognized as a strong and stylish language, with help for either sensible and object-oriented programming types. in case you decide to use Python, although, you get greater than only a language-you additionally turn into a part of an exceptionally enthusiastic and supportive group of Python programmers who succeed in out to aid one another research and develop of their use of the language. Python Cookbook, 2d version is only one tangible manifestation of that Python neighborhood. In it, you can find functional suggestions to many universal Python programming difficulties. those recommendations come from the neighborhood, from Python programmers who for a few years have contributed to the web Python Cookbook hosted by way of ActiveState at http://aspn.activestate.com/ASPN/Cookbook/Python. those are battle-tested recommendations; contributed, reviewed, more suitable, and now introduced jointly in ebook shape. here's only a sampling of the numerous subject components coated by way of the greater than three hundred recipes during this ebook: looking out and sorting, internet programming, Manipulating textual content, community programming, operating with records, Processing XML, Object-oriented programming, dispensed programming, Multithreaded programming, Debugging and checking out, procedure management, Metaprogramming. recommendations during this booklet are prepared by means of subject region. all the chapters commence with introductions written via recognized Python luminaries reminiscent of: Facundo Batista, David Beazley, Donn Cave, Fred L. Drake, jr., Paul F. Dubois, Mark Hammond, Raymond Hettinger, jeremy Hylton, Fredrik Lunch, Mark Lutz, Andy McKay, Gustavo Niemeyer, Tim Peters, Paul Prescod, Aaron Watters, and Greg Wilson. This booklet is a treasure trove of beneficial code for all Python programmers, entrance beginners to complicated practitioners. it is a present, from the neighborhood to you. through paying for this publication, you're additionally giving again to the neighborhood: 25 percentage of all royalties from this publication are donated to the Python software program starting place. The recipes in Python Cookbook, 2d variation have been edited by means of Alex Martelli, additionally the writer of Python in a Nutsbell; Anna Martelli Ravenscroft, an avid Python person and common convention speaker; and David Ascher of ActiveState, coauthor of studying Python. The publication encompasses a foreword through Guido van Rossum, the writer of Python.

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IronPython in Action

By Michael J. Foord

In 2005, Microsoft quietly introduced an initiative to carry dynamic languages to the .NET platform. the start line for this venture used to be a .NET implementation of Python, dubbed IronPython. After a pair years of incubation, IronPython is prepared for real-world use. It blends the simplicity, beauty, and dynamism of Python with the facility of the .NET framework.

IronPython in Action deals a accomplished, hands-on advent to Microsoft's fascinating new technique for programming the .NET framework. It ways IronPython as a firstclass .NET language, totally built-in with the .NET atmosphere, visible Studio, or even the open-source Mono implementation. you will find out how IronPython will be embedded as a ready-made scripting language into C# and VB.NET courses, used for writing complete purposes or for net improvement with ASP. Even larger, you will see how IronPython works in Silverlight for client-side net programming.

IronPython opens up intriguing new probabilities. simply because it is a dynamic language, it allows programming paradigms no longer simply on hand in VB and C#. during this e-book, authors Michael Foord and Christian Muirhead discover the area of practical programming, stay introspection, dynamic typing and duck typing , metaprogramming, and extra.

IronPython in Action explores those subject matters with examples, utilizing the Python interactive console to discover the .NET framework with reside items. The specialist authors offer an entire advent for programmers to either the Python language and the ability of the .NET framework. The publication additionally indicates how one can expand IronPython with C#, extending C# and VB.NET purposes with Python, utilizing IronPython with .NET 3.0 and Powershell, IronPython as a home windows scripting device, and masses extra.

buy of the print ebook comes with a proposal of a loose PDF, ePub, and Kindle book from Manning. additionally to be had is all code from the ebook.

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