For classes in Python Programming
Introduces Python programming with an emphasis on problem-solving
Now in its Third Edition, Practice of Computing utilizing Python maintains to successfully introduce readers to computational considering utilizing Python, with a powerful emphasis on challenge fixing via machine technology. The authors have selected Python for its simplicity, robust integrated information buildings, complex keep an eye on constructs, and practicality. The textual content is outfitted from the floor up for Python programming, instead of having been translated from Java or C++.
Focusing on facts manipulation and research as a subject matter, the textual content permits readers to paintings on actual difficulties utilizing Internet-sourced or self-generated information units that characterize their very own paintings and pursuits. The authors additionally emphasize software improvement and supply readers of all backgrounds with a realistic origin in programming that swimsuit their wishes. between different adjustments, the Third Edition includes a swap to the Anaconda distribution, the SPYDER IDE, and a spotlight on debugging and GUIs.
Also available with MyProgrammingLab™
MyProgrammingLab is an internet studying approach designed to interact scholars and increase effects. MyProgrammingLab includes a suite of programming routines correlated to express Pearson CS1/Intro to Programming textbooks. via perform routines and instant, custom-made suggestions, MyProgrammingLab improves the programming competence of starting scholars who usually fight with the elemental innovations of programming languages.
Note: you're procuring a standalone product; MyLab™ & Mastering™ doesn't come packaged with this content material. scholars, if attracted to buying this name with MyLab & learning, ask your teacher for the right kind package deal ISBN and path identification. teachers, touch your Pearson consultant for additional information.
If you want to buy boththe actual textual content and MyLab & studying, seek for:
0134520513 / 9780134520513 The Practice of Computing utilizing Python plus MyProgrammingLab with Pearson eText -- entry Card package deal, 3/e
Package is composed of:
- 0134381327 / 9780134381329 MyProgrammingLab with Pearson eText -- entry Card Package
- 0134379764 / 9780134379760 The Practice of Computing utilizing Python, 3/e
By Leon Sterling
This new version of The paintings of Prolog features a variety of very important adjustments. so much heritage sections on the finish of every bankruptcy were up-to-date to take account of significant contemporary learn effects, the references were vastly improved, and extra complicated workouts were extra which were used effectively in instructing the course.
half II, The Prolog Language, has been converted to be appropriate with the hot Prolog general, and the bankruptcy on software improvement has been considerably altered: the predicates outlined were moved to extra acceptable chapters, the part on potency has been moved to the significantly multiplied bankruptcy on cuts and negation, and a brand new part has been additional on stepwise enhancement—a systematic method of creating Prolog courses constructed by way of Leon Sterling.
All yet one of many chapters partly III, complex Prolog Programming concepts, were considerably replaced, with a few significant rearrangements. a brand new bankruptcy on interpreters describes a rule language and interpreter for professional structures, which larger illustrates how Prolog may be used to build professional structures. The bankruptcy on software transformation is totally new and the bankruptcy on common sense grammars provides new fabric for spotting basic languages, exhibiting how grammars practice to extra computing device technological know-how examples.
By Mark Summerfield
The Insider's Best-Practice consultant to fast PyQt four GUI Development
Whether you are construction GUI prototypes or full-fledged cross-platform GUI functions with local look-and-feel, PyQt four is your quickest, least difficult, strongest resolution. Qt specialist Mark Summerfield has written the definitive best-practice advisor to PyQt four development.
With Rapid GUI Programming with Python and Qt you are going to find out how to construct effective GUI purposes that run on all significant working platforms, together with home windows, Mac OS X, Linux, and lots of models of Unix, utilizing a similar resource code for them all. Summerfield systematically introduces each center GUI improvement process: from dialogs and home windows to info dealing with; from occasions to printing; and extra. throughout the book's reasonable examples you will find a totally new PyQt 4-based programming technique, in addition to insurance of many new subject matters, from PyQt 4's wealthy textual content engine to complicated model/view and graphics/view programming. each key inspiration is illuminated with reasonable, downloadable examples—all validated on home windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on home windows and Linux with Qt 4.3 and PyQt 4.3.
- Python fundamentals for each PyQt developer: information varieties, information buildings, regulate buildings, sessions, modules, and more
- Core PyQt GUI programming options: dialogs, major home windows, and customized dossier formats
- Using Qt fashion designer to layout consumer interfaces, and to enforce and try out dialogs, occasions, the Clipboard, and drag-and-drop
- Building customized widgets: Widget variety Sheets, composite widgets, subclassing, and more
- Making the main of Qt 4.2's new graphics/view architecture
- Connecting to databases, executing SQL queries, and utilizing shape and desk views
- Advanced model/view programming: customized perspectives, known delegates, and more
- Implementing on-line support, internationalizing functions, and utilizing PyQt's networking and multithreading facilities
By Magnus Lie Hetland
Gain a basic knowing of Python’s syntax and contours with the second one variation of Beginning Python, an up–to–date advent and useful reference. masking a big selection of Python–related programming subject matters, together with addressing language internals, database integration, community programming, and net companies, you’ll be guided through sound improvement ideas. Ten accompanying tasks will make sure you can get your arms soiled in no time.
Updated to mirror the newest in Python programming paradigms and several other of the main an important positive factors present in Python 3.0 (otherwise referred to as Python 3000), complex subject matters, resembling extending Python and packaging/distributing Python purposes, also are coated.
What you’ll learn
- Become a knowledgeable Python programmer via following besides a pleasant, sensible advisor to the language’s key features
- Write code quicker by means of studying tips to make the most of complex good points corresponding to magic tools, exceptions, and abstraction
- Gain perception into smooth Python programming paradigms together with checking out, documentation, packaging, and distribution
- Learn by means of following besides ten fascinating initiatives, together with a P2P file–sharing program, chat buyer, game, distant textual content editor, and more
- Complete, downloadable code is equipped for every venture!
Who this ebook is for
Programmers, amateur and another way, looking a entire creation to the Python programming language.
By Marty Alchin
Methods to leverage Django, the prime Python net program improvement framework, to its complete power during this complicated instructional and reference. up-to-date for Django 1.5 and Python three, Pro Django, moment Edition examines in nice aspect the complicated difficulties that Python net program builders can face and the way to resolve them. It offers in–depth information regarding complex instruments and strategies to be had in each Django install, working the gamut from the idea of Django’s inner operations to genuine code that solves real–world difficulties for high–volume environments.
Pro Django, moment Edition is going above and past different books, leaving the fundamentals a long way at the back of and displaying how Django can do issues even its center builders by no means anticipated. by way of drawing at the dynamic nature of Python, you could write Django functions that extend the bounds of what you idea possible!
Build cool NLP and computer studying functions utilizing NLTK and different Python libraries
About This Book
- Extract info from unstructured facts utilizing NLTK to unravel NLP problems
- Analyse linguistic constructions in textual content and study the concept that of semantic research and parsing
- Learn textual content research, textual content mining, and internet crawling in a simplified manner
Who This ebook Is For
If you're an NLP or laptop studying fanatic with a few or no event in textual content processing, then this publication is for you. This publication can be perfect for specialist Python programmers who are looking to study NLTK quickly.
What you'll Learn
- Get a glimpse of the complexity of normal languages and the way they're processed by means of machines
- Clean and wrangle textual content utilizing tokenization and chunking that can assist you greater procedure data
- Explore the different sorts of tags to be had and tag sentences
- Create a personalized parser and tokenizer to fit your needs
- Build a real-life program with positive factors resembling spell correction, seek, computer translation and a question answering system
- Retrieve any information content material utilizing crawling and scraping
- Perform function extraction and choice, and construct a category approach on diversified items of texts
- Use quite a few different Python libraries similar to pandas, scikit-learn, matplotlib, and gensim
- Analyse social media websites to find trending subject matters and practice sentiment analysis
Natural Language Processing (NLP) is the sector of man-made intelligence and computational linguistics that bargains with the interactions among desktops and human languages. With the circumstances of human-computer interplay expanding, it really is turning into valuable for pcs to appreciate all significant average languages. normal Language Toolkit (NLTK) is one such strong and powerful tool.
You begin with an creation to get the gist of the way to construct structures round NLP. We then movement directly to discover facts science-related initiatives, following which you may find out how to create a personalized tokenizer and parser from scratch. all through, we delve into the basic techniques of NLP whereas gaining functional insights into quite a few open resource instruments and libraries on hand in Python for NLP. you'll then methods to research social media websites to find trending subject matters and practice sentiment research. ultimately, one can find instruments so one can assist you care for huge scale text.
By the top of this e-book, you may be convinced approximately NLP and information technology strategies and know the way to use them on your daily work.
By Cyrille Rossant
Get begun with Python for facts research and numerical computing within the Jupyter notebook
About This Book
- Learn the fundamentals of Python within the Jupyter Notebook
- Analyze and visualize info with pandas, NumPy, matplotlib, and seaborn
- Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel
Who This ebook Is For
This e-book ambitions scholars, academics, researchers, engineers, analysts, reporters, hobbyists, and all info lovers who're drawn to examining and visualizing real-world datasets. while you are new to programming and information research, this publication is strictly for you. if you are already conversant in one other language or research software program, additionally, you will take pleasure in this creation to the Python information research platform. eventually, there are extra technical themes for complex readers. No previous event is needed; this ebook includes every thing you must know.
What you are going to Learn
- Install Anaconda and code in Python within the Jupyter Notebook
- Load and discover datasets interactively
- Perform complicated facts manipulations successfully with pandas
- Create enticing info visualizations with matplotlib and seaborn
- Simulate mathematical types with NumPy
- Visualize and method photos interactively within the Jupyter workstation with scikit-image
- Accelerate your code with Numba, Cython, and IPython.parallel
Python is a simple and robust programming language. IPython deals a handy interface to the language and its research libraries, whereas the Jupyter pc is a wealthy atmosphere well-adapted to information technological know-how and visualization. jointly, those open resource instruments are regular by way of rookies and specialists world wide, and in an enormous number of fields and endeavors.
This publication is a beginner-friendly consultant to the Python information research platform. After an creation to the Python language, IPython, and the Jupyter laptop, you are going to the way to research and visualize info on real-world examples, tips to create graphical consumer interfaces for snapshot processing within the laptop, and the way to accomplish quick numerical computations for clinical simulations with NumPy, Numba, Cython, and ipyparallel. by means of the top of this e-book, it is possible for you to to accomplish in-depth analyses of all types of data.
Style and approach
This is a hands-on beginner-friendly advisor to research and visualize facts on real-world examples with Python and the Jupyter Notebook.
By Mark Lutz
Google and YouTube use Python simply because it really is hugely adaptable, effortless to keep up, and enables swift improvement. with a view to write top quality, effective code that is simply built-in with different languages and instruments, this hands-on e-book may help you be efficient with Python quick -- no matter if you are new to programming or simply new to Python. it truly is an easy-to-follow self-paced instructional, in keeping with writer and Python specialist Mark Lutz's well known education path.
Each bankruptcy encompasses a stand-alone lesson on a key section of the language, and incorporates a distinctive attempt Your wisdom part with useful routines and quizzes, so that you can perform new talents and try out your knowing as you pass. you can find plenty of annotated examples and illustrations that will help you start with Python 3.0.
Learn approximately Python's significant integrated item kinds, equivalent to numbers, lists, and dictionariesCreate and procedure items utilizing Python statements, and examine Python's normal syntax modelStructure and reuse code utilizing services, Python's easy procedural toolLearn approximately Python modules: applications of statements, services, and different instruments, geared up into higher componentsDiscover Python's object-oriented programming software for structuring codeLearn concerning the exception-handling version, and improvement instruments for writing greater programsExplore complex Python instruments together with decorators, descriptors, metaclasses, and Unicode processing
Thorough assurance of Microsoft’s new dynamic programming language: IronPython
IronPython is a strong and important a part of any .NET developer's toolbox, and even though it is numerous years previous, little or no literature exists at the subject. This crucial source fills that void and gives you with an in-depth knowing of IronPython.
A short advent walks you thru the deploy, utilization, and instruments of IronPython and likewise explains what makes IronPython varied from different programming languages. assurance quick strikes directly to explaining how you can use and paintings with the IronPython language, and an in-depth examine its atmosphere sheds mild on the way it could be stand on my own or with the .NET Framework. you will see how IronPython can be utilized to create both computing device or Web-based purposes and you’ll witness the way it interacts with different current applied sciences. additionally, assurance of complicated issues stocks options for extending IronPython and making it a strong language.
- Provides you with an in-depth examine IronPython, the way it isn't the same as different programming languages, what it's able to, and the way to maximise its potential
- Explores how IronPython interacts with current applied sciences and the way it could practice management tasks
- Answers renowned questions, comparable to tips to expand IronPython and make it a much better language
- Tackles issues now not addressed anyplace else, together with executing IronPython utilizing Mono
You'll are looking to eat each subject lined in Professional IronPython so that you can start operating with this robust programming language today.
By Tarek Ziadé
Professional Python Programming indicates how Python improvement can be performed with most sensible practices and specialist layout tips. This booklet is for Python builders who're already development purposes, yet are looking to construct larger ones by means of utilizing top practices and new improvement innovations to their tasks. The reader is anticipated to have a legitimate history in Python programming.