Download Chemical and Biomedical Engineering Calculations Using by Jeffrey J. Heys PDF

By Jeffrey J. Heys

Presents average numerical techniques for fixing universal mathematical difficulties in engineering utilizing Python.

  • Covers the most typical numerical calculations utilized by engineering students
  • Covers Numerical Differentiation and Integration, preliminary price difficulties, Boundary worth difficulties, and Partial Differential Equations
  • Focuses on open ended, genuine global difficulties that require scholars to jot down a quick report/memo as a part of the answer process
  • Includes an digital obtain of the Python codes provided within the book

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Download Introduction to Python Programming and Developing GUI by B. M. Harwani PDF

By B. M. Harwani

Creation to Python Programming and constructing GUI functions with PyQT 1E» teaches Python programming step by step via useful examples that readers can see in motion right now. It starts with a fantastic advent of Python from scratch, masking loops, keep an eye on constructions, sequences, features, sessions, and exception dealing with. Thereafter, the publication explores dossier dealing with and GUI software improvement in PyQT, the strong cross-platform GUI structure and types builder that permits programmers to quickly layout and construct widgets and dialogs. The booklet finishes with an advent to Django, an easy-to-use platform for constructing net purposes in Python. it is a nice ebook for amateur programmers drawn to studying Python.

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Download Maya Python for Games and Film: A Complete Reference for by Adam Mechtley, Ryan Trowbridge PDF

By Adam Mechtley, Ryan Trowbridge

Maya Python for video games and Film is the 1st e-book to concentration completely on how one can enforce Python with Maya. Written by way of depended on specialists within the box, this in-depth consultant can help you grasp Maya Python, no matter if you're a pro technical artist trying to make the transition from MEL to Python or an aspiring artist now not desirous to scramble for info.

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Download Mastering Regular Expressions (3rd Edition) by Jeffrey E. F. Friedl PDF

By Jeffrey E. F. Friedl

Regular expressions are a really robust instrument for manipulating textual content and knowledge. they're now average positive factors in quite a lot of languages and well known instruments, together with Perl, Python, Ruby, Java, VB.NET and C# (and any language utilizing the .NET Framework), Hypertext Preprocessor, and MySQL.

should you don't use typical expressions but, you can find during this booklet a complete new global of mastery over your info. should you already use them, you'll savour this book's unheard of aspect and breadth of insurance. for those who imagine you recognize all you must learn about normal expressions, this booklet is a beautiful eye-opener.

As this ebook exhibits, a command of normal expressions is a useful ability. common expressions let you code complicated and refined textual content processing that you just by no means imagined might be computerized. commonplace expressions can prevent time and aggravation. they are often used to craft stylish ideas to a variety of difficulties. as soon as you've mastered standard expressions, they'll develop into a useful a part of your toolkit. you are going to ask yourself the way you ever acquired by means of with out them.

but regardless of their large availability, flexibility, and exceptional strength, typical expressions are usually underutilized. but what's strength within the fingers of a professional will be fraught with peril for the unwary. Mastering usual Expressions can assist you navigate the minefield to turning into knowledgeable and assist you optimize your use of normal expressions.

Mastering normal Expressions, 3rd variation, now encompasses a complete bankruptcy dedicated to Hypertext Preprocessor and its strong and expressive suite of standard expression capabilities, as well as superior personal home page insurance within the important "core" chapters. additionally, this variation has been up to date all through to mirror advances in different languages, together with increased in-depth insurance of Sun's java.util.regex package deal, which has emerged because the normal Java regex implementation.Topics include:
* A comparability of good points between diversified models of many languages and tools
* How the typical expression engine works
* Optimization (major discounts to be had here!)
* Matching simply what you will want, yet now not what you don't want
* Sections and chapters on person languages

Written within the lucid, enjoyable tone that makes a fancy, dry subject develop into crystal-clear to programmers, and sprinkled with strategies to advanced real-world difficulties, Mastering commonplace Expressions, 3rd version bargains a wealth info for you to placed to speedy use.

Reviews of this re-creation and the second one edition:

"There isn't a greater (or extra worthy) booklet on hand on standard expressions."

--Zak Greant, handling Director, eZ Systems

"A genuine tour-de-force of a publication which not just covers the mechanics of regexes in remarkable aspect but additionally talks approximately potency and using regexes in Perl, Java, and .NET...If you employ common expressions as a part of your specialist paintings (even in case you have already got an exceptional ebook on no matter what language you're programming in) i'd strongly suggest this ebook to you."

--Dr. Chris Brown, Linux Format

"The writer does a great activity best the reader from regex beginner to grasp. The booklet is intensely effortless to learn and chock packed with helpful and suitable examples...Regular expressions are necessary instruments that each developer must have of their toolbox. Mastering commonplace Expressions is the definitive consultant to the topic, and an exceptional source that belongs on each programmer's bookshelf. Ten out of Ten Horseshoes."

--Jason Menard, Java Ranch

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Download Derivatives Analytics with Python: Data Analysis, Models, by Yves Hilpisch PDF

By Yves Hilpisch

Supercharge thoughts analytics and hedging utilizing the ability of Python

Derivatives Analytics with Python indicates you ways to enforce market-consistent valuation and hedging methods utilizing complex monetary types, effective numerical ideas, and the robust services of the Python programming language. This precise consultant bargains exact motives of all conception, tools, and tactics, supplying you with the history and instruments essential to worth inventory index recommendations from a valid starting place. You'll locate and use self-contained Python scripts and modules and find out how to follow Python to complex facts and derivatives analytics as you enjoy the 5,000+ traces of code which are supplied that can assist you reproduce the consequences and snap shots provided. insurance comprises marketplace information research, risk-neutral valuation, Monte Carlo simulation, version calibration, valuation, and dynamic hedging, with types that show stochastic volatility, bounce elements, stochastic brief charges, and extra. The better half site beneficial properties all code and IPython Notebooks for fast execution and automation.

Python is gaining flooring within the derivatives analytics area, permitting associations to speedy and successfully bring portfolio, buying and selling, and danger administration effects. This e-book is the finance professional's consultant to exploiting Python's services for effective and acting derivatives analytics.

Reproduce significant stylized evidence of fairness and concepts markets yourself
observe Fourier rework suggestions and complicated Monte Carlo pricing
Calibrate complex choice pricing versions to industry data
combine complicated types and numeric how you can dynamically hedge options

Recent advancements within the Python surroundings let analysts to enforce analytics initiatives as acting as with C or C++, yet utilizing purely approximately one-tenth of the code or perhaps much less. Derivatives Analytics with Python — info research, versions, Simulation, Calibration and Hedging indicates you what you want to recognize to supercharge your derivatives and hazard analytics efforts.

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Download Programming in Python 3: A Complete Introduction to the by Mark Summerfield PDF

By Mark Summerfield

A absolutely Revised variation that includes New fabric on Coroutines, Debugging, checking out, Parsing, String Formatting, and More


Python three is the easiest model of the language but: it's extra robust, handy, constant, and expressive than ever ahead of. Now, major Python programmer Mark Summerfield demonstrates how one can write code that takes complete good thing about Python 3's positive aspects and idioms. Programming in Python three, moment version, brings jointly all of the wisdom you must write any software, use any average or third-party Python three library, and create new library modules of your own.


Summerfield attracts on his a long time of Python event to proportion deep insights into Python three improvement you won't locate at any place else. He starts by way of illuminating Python's "beautiful heart": the 8 key parts of Python you want to write powerful, high-performance courses. development on those middle parts, he introduces new themes designed to bolster your useful expertise-one notion and hands-on instance at a time. insurance includes
* constructing in Python utilizing procedural, objectoriented, and practical programming paradigms
* developing customized programs and modules
* Writing and examining binary, textual content, and XML documents, together with not obligatory compression, random entry, and textual content and XML parsing
* Leveraging complex facts varieties, collections, keep watch over constructions, and services
* Spreading software workloads throughout a number of strategies and threads
* Programming SQL databases and key--value DBM records
* Debugging techniques-and utilizing try out pushed improvement to prevent insects within the first position
* using Python's normal expression mini-language and module
* Parsing thoughts, together with the way to use the third-party PyParsing and PLY modules
* development usable, effective, GUI-based purposes
* complex programming innovations, together with turbines, functionality and sophistication decorators, context managers, descriptors, summary base periods, metaclasses, coroutines, and more


Programming in Python three, moment version, serves as either educational and language reference. It assumes a few previous programming adventure, and is followed through large downloadable instance code-all of it demonstrated with Python three on home windows, Linux, and Mac OS X. This variation covers Python 3.0 and 3.1, and thanks to the Python language moratorium it's also legitimate for Python 3.2 which has an analogous language as Python 3.1.

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Download Odoo Development Essentials by Daniel Reis PDF

By Daniel Reis

Odoo is a strong and fast-growing enterprise program platform. starting with constructing the advance atmosphere, this e-book will then consultant you thru a realistic trip to construct feature-rich enterprise applications.

With the purpose of jumpstarting your Odoo skillability point, from no particular wisdom to software improvement readiness, you'll be set at the direction of constructing your first Odoo program. Then, you'll movement directly to issues akin to types and perspectives and knowing and utilizing server APIs so as to add enterprise good judgment, in an effort to lay a great starting place for complex topics.

The publication concludes with a consultant to Odoo interplay and the way to exploit the Odoo API from different courses, all of for you to show you how to successfully combine purposes with different exterior systems.</p>

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Download Building Web Applications with Python and Neo4j by Sumit Gupta PDF

By Sumit Gupta

Boost fascinating real-world Python-based net functions with Neo4j utilizing frameworks akin to Flask, Py2neo, and Django
About This Book

improve a suite of universal functions and ideas with Neo4j and Python
safe and installation the Neo4j database in production
A step by step advisor on imposing and deploying interactive Python-based internet functions on graph info model

Who This booklet Is For

If you're a Python developer and need to extend your figuring out of Python-based net purposes over Neo4j graph information types, this is often the e-book for you.
What you are going to Learn

comprehend the licensing and set up of the Neo4j database and paintings with its a number of instruments and utilities
research the intricacies of Cypher as a graph question language
paintings with Cypher to create and regulate graph facts models
combine Python and Neo4j utilizing Py2neo
boost REST-based companies over social community facts utilizing Flask and item graph versions over Neo4j
combine Django-based net functions over graph info types utilizing Neomodel
discover diversified deployment types and their applicability with current applications

In Detail

Py2neo is a straightforward and pragmatic Python library that gives entry to the preferred graph database Neo4j through its RESTful internet carrier interface. This brings with it a seriously refactored center, a cleanser API, higher functionality, and a few new idioms.

You will commence with licensing and fitting Neo4j, studying the basics of Cypher as a graph question language, and exploring Cypher optimizations. you will find tips on how to combine with a number of Python frameworks corresponding to Flask and its extensions: Py2neo, Neomodel, and Django. ultimately, the deployment facets of your Python-based Neo4j functions in a creation setting can be lined. by way of sequentially operating during the steps in every one bankruptcy, you are going to quick research and grasp a few of the implementation info and integrations of Python and Neo4j, aiding you to strengthen your use instances extra quickly.

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Download A functional start to computing with Python by Ted Herman PDF

By Ted Herman

A useful begin to Computing with Python allows scholars to speedy research computing with no need to exploit loops, variables, and item abstractions at the beginning. Requiring no previous programming adventure, the ebook attracts on Python’s versatile facts kinds and operations in addition to its ability for outlining new features. besides the specifics of Python, the textual content covers very important innovations of computing, together with software program engineering motivation, algorithms at the back of syntax ideas, complicated practical programming principles, and, in brief, finite country machines.

Taking a student-friendly, interactive method of train computing, the publication addresses tougher suggestions and abstractions later within the textual content. the writer offers plentiful reasons of knowledge kinds, operators, and expressions. He additionally describes comprehensions―the strong requirements of lists and dictionaries―before introducing loops and variables. This strategy is helping scholars larger comprehend task syntax and new release through giving them a psychological version of refined information first.

Web Resource
The book’s supplementary site at presents many ancillaries, including:

  • Interactive flashcards on Python language elements
  • Links to additional aid for every chapter
  • Unit checking out and programming exercises
  • An interactive Python stepper tool
  • Chapter-by-chapter issues
  • Material for lectures

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Download Bioinformatics Programming Using Python: Practical by Mitchell L Model PDF

By Mitchell L Model

Evaluating to Perl, Python has a really lagged adoption because the scripting language of selection within the box of bioinformatics, even though it is getting a few second lately. when you learn task descriptions for bioinformatics engineer or scientist positions a number of 12 months again, you slightly observed Python pointed out, while "nice to have non-compulsory skill". one of many purposes is maybe missing of fine introductory point bioinformatics books in Python so there are, more often than not, much less humans pondering Python as a sensible choice for bioinformatics. The publication "Beginning Perl for Bioinformatics" from O Reilly was once released in 2001. nearly one decade later, we eventually get the publication "Bioinformatics Programming utilizing Python" from Mitchell version to fill the gap.

When I first skimmed the booklet "Bioinformatics Programming utilizing Python", I acquired the effect that this e-book was once extra like "learning python utilizing bioinformatics as examples" and felt just a little upset as i used to be hoping for extra complex content material. in spite of the fact that, as soon as I went in the course of the publication, analyzing the preface and every thing else bankruptcy by means of bankruptcy, I understood the main focus audiences that writer had in brain and that i concept the writer did an excellent task in pleasurable the most purpose.

In sleek organic study, scientists can simply generate great amount of information the place Excel spreadsheets that almost all bench scientists use to approach proscribing volume of knowledge is not any longer an alternative. i actually think that the recent new release of biologists should the best way to strategy and deal with great amount inhomogeneous info to make new discovery out of it. This calls for basic computational ability past simply realizing the best way to use a few distinct goal purposes that a few software program seller offers. The e-book offers solid advent approximately functional computational talents utilizing Python to approach bioinformatics info. The e-book is particularly good geared up for a beginner who simply desires to begin to method the uncooked facts their very own and get right into a means of learning-by-doing to develop into a Python programmer.

The booklet starts off with an advent at the primitive information kinds in Python and strikes towards the movement controls and assortment facts sort with emphasis on, now not unusually, string processing and dossier parsing, of commonest initiatives in bioinformatics. Then, the writer introduces the object-oriented programming in Python. i believe a newbie also will like these code templates for various styles of information processing job in bankruptcy four. They summarize the standard movement constitution for universal initiatives very well.

After giving the elemental idea of programming with Python, the writer makes a speciality of different utilities that are very beneficial for day by day paintings for collecting, extracting, and processing facts from varied info resources. for instance, the writer discusses approximately the best way to discover and set up documents with Python within the OS point, utilizing common expression for extracting complex textual content facts dossier, XML processing, internet programming for fetching on-line organic facts and sharing information with an easy net server, and, after all, easy methods to application Python to engage with a database. The deep wisdom of all of those themes may possibly deserve their very own books. the writer does a great task to hide these kind of issues in a concise means. this may support humans to understand what will be performed conveniently with Python and, in the event that they wish, to profit any of these subject extra from different assets. the ultimate contact of the ebook is on dependent photos. this is often very clever selection because the future of so much of bioinformatics info is particularly prone to be a few graphs utilized in displays and for publishing. back, there are various different Python programs can assist scientists to generate great graph, however the writer specializes in one or of them to teach the readers easy methods to do normal a few graphs with them and the reader could possibly study whatever else from there.

One factor i am hoping the writer may also disguise, no less than at a newbie point, is the numerical and statistical element in bioinformatics computing with Python. for instance, Numpy or Scipy are very valuable for processing great amount of information, producing facts and comparing importance of the implications. they're very helpful specially for processing great amount info the place the local Python gadgets aren't any longer effective sufficient. The numerical computation point in bioinformatics is largely missing within the ebook. the opposite factor that will be fascinating for any such e-book is to teach that Python is a useful gizmo for prototyping a few algorithms in bioinformatics. this can be most likely my very own own bias, yet I do imagine it's great to teach a few easy bioinformatics set of rules implementations in python. this may support the readers to appreciate a bit extra approximately a number of the universal algorithms utilized in the sphere and to get a flavor on somewhat extra complicated programming.

Overall, i cannot hesitate to suggest this publication to anyone who will prefer to begin to approach organic info all alone with Python. in addition, it could really function an excellent introductory publication to Python regardless the focus on bioinformatics examples. The ebook covers such a lot daily easy bioinformatics projects and indicates Python is a handy gizmo for these projects. i feel a bit extra complex themes, specifically on easy numerical and statistical computation within the booklet, also will support the objective audiences. regrettably, none of that subject is pointed out within the e-book. That has been acknowledged, whether you're an skilled python programmer in bioinformatics, the book's concentrate on Python three and many priceless templates may well serve good as a brief reference while you're trying to find whatever you don't have direct event prior to.

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