Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.

Software engineering is difficult. Programs of any substantial length are inherently prone to errors of all kinds. The development cycle is full of traps unknown to the apprentice developer. Yet, in Python textbooks little attention is paid to this aspect of getting your code to run. At most, there is a chapter on debugging or unit testing in your average basic Python book. However, the proportion of time spent on getting your code to run is much higher in the real world. Pro Python Best Practices aims to solve this problem.
What You'll LearnLearn common debugging techniques that help you find and eliminate errors
Gain techniques to detect bugs more easily
Learn techniques to keep your project under control
Who This Book Is For

Experienced Python coders from web development, big data, and more.

Notable mainly for its clear and thorough exploration of the Object Modeling Technique (OMT)—a generic way of representing objects and their relationships—this book is good as a primer and great as a knowledge booster for those already familiar with object-oriented concepts. Object-Oriented Modeling and Design teaches you how to approach problems by breaking them down into interrelated pieces, then implementing the pieces. In addition to its documentation of the Object Modeling Technique (OMT), a graphical notation for depicting object-oriented systems, Object-Oriented Modeling and Design does a first-rate job of explaining basic and advanced object-orientation concepts. The book then moves on to explain the authors' techniques for breaking down problems into components and figuring out systems of interrelated objects that can be used as designs for programs. Interestingly, the authors devote part of their book to implementing object-oriented solutions in non-object-oriented languages—mainly C, Ada, and Fortran. There's also a great discussion of implementing object-oriented designs in relational database environments. The authors conclude their book with a sort of recipe section, detailing architectures for various types of programs in OMT.

Die Grundlagen der Statistik mit Spaß erlernen und anwenden
Erscheinungsjahr: 2010
2., überarb. Aufl.
m. Abb. u. Cartoons.
Einsteiger/Laien
Gewicht: 642 gr / Abmessung: 24 cm
Von Rumsey, Deborah

Entdecken Sie mit Statistik für Dummies Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen der so beliebten Manipulation von Zahlenmaterial!
Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, so dass Ihnen keiner mehr etwas vormachen kann!

A tutorial style book for absolute beginners that walks readers through an introduction to databases and programming concepts and then shows them how to build practical applications using Microsoft's technology. Build Your Own ASP.NET Website Using C# & VB.NET guides readers through obtaining, installing and configuring all the necessary software to develop dynamic Websites. Then, it takes readers step-by-step through the process of creating full-blown, practical applications including an intranet, shopping cart with Paypal credit card processing and more. Throughout, the book focuses on best-practice code, ensuring application security and creating professional error handling routines. Unlike most beginner books, SitePoint allow readers to choose between two programming languages, VB.NET or c#, when creating any of the applications in the book.

Neu im Purves: Evolution erheblich erweitertZoologie-Kapitel und -Glossar (neu!) durch Mitarbeit von Mary Berenbaum verbessertWeb-Links "Animated Tutorial" und "Web Activity" verweisen auf kostenfreie seite www.thelifewire.comAnzahl der Boxen "Experiment" sind deutlich erweitertStrukturierung erheblich verbessert durch Schlüsselsätze, Boxen zur "Wiederholung", "Kapitelüberblick" und "Kapitel-Zusammenfassung" sowie Fragen zur Selbstkontrolle70% neue Kapitel-Eröffnungenalle Texte von Biologie-Dozenten kritisch durchgesehen

“This book would be a bargain at ten times its price! If you are writing iPhone software, it will save you weeks of development time. Erica has included dozens of crisp and clear examples illustrating essential iPhone development techniques and many others that show special effects going way beyond Apple’s official documentation.”

—Tim Burks, iPhone Software Developer, TootSweet Software

“Erica Sadun’s technical expertise lives up to the Addison-Wesley name. The iPhone Developer’s Cookbook is a comprehensive walkthrough of iPhone development that will help anyone out, from beginners to more experienced developers. Code samples and screenshots help punctuate the numerous tips and tricks in this book.”

—Jacqui Cheng, Associate Editor, Ars Technica

“We make our living writing this stuff and yet I am humbled by Erica’s command of her subject matter and the way she presents the material: pleasantly informal, then very appropriately detailed technically. This is a going to be the Petzold book for iPhone developers.”

—Daniel Pasco, Lead Developer and CEO, Black Pixel Luminance

“The iPhone Developer’s Cookbook: Building Applications with the iPhone SDK should be the first resource for the beginning iPhone programmer, and is the best supplemental material to Apple’s own documentation.”

—Alex C. Schaefer, Lead Programmer, ApolloIM, iPhone Application Development Specialist, MeLLmo, Inc

“Erica’s book is a truly great resource for Cocoa Touch developers. This book goes far beyond the documentation on Apple’s Web site, and she includes methods that give the developer a deeper understanding of the iPhone OS, by letting them glimpse at what’s going on behind the scenes on this incredible mobile platform.”

—John Zorko, Sr. Software Engineer, Mobile Devices

The iPhone and iPod touch aren’t just attracting millions of new users; their breakthrough development platform enables programmers to build tomorrow’s killer applications. If you’re getting started with iPhone programming, this book brings together tested, ready-to-use code for hundreds of the challenges you’re most likely to encounter. Use this fully documented, easy-to-customize code to get productive fast—and focus your time on the specifics of your application, not boilerplate tasks.

Leading iPhone developer Erica Sadun begins by exploring the iPhone delivery platform and SDK, helping you set up your development environment, and showing how iPhone applications are constructed. Next, she offers single-task recipes for the full spectrum of iPhone/iPod touch programming jobs: Utilize views and tablesOrganize interface elementsAlert and respond to usersAccess the Address Book (people), Core Location (places), and Sensors (things)Connect to the Internet and Web servicesDisplay media contentCreate secure Keychain entriesAnd much more

You’ll even discover how to use Cover Flow to create gorgeous visual selection experiences that put scrolling lists to shame!

This book is organized for fast access: related tasks are grouped together, and you can jump directly to the right solution, even if you don’t know which class or framework to use. All code is based on Apple’s publicly released iPhone SDK, not a beta. No matter what iPhone projects come your way, The iPhone Developer’s Cookbook will be your indispensable companion.

This book presents a broad overview of computer graphics (CG), its history, and the hardware tools it employs. Covering a substantial number of concepts and algorithms, the text describes the techniques, approaches, and algorithms at the core of this field. Emphasis is placed on practical design and implementation, highlighting how graphics software works, and explaining how current CG can generate and display realistic-looking objects. The mathematics is non-rigorous, with the necessary mathematical background introduced in the Appendixes. Features: includes numerous figures, examples and solved exercises; discusses the key 2D and 3D transformations, and the main types of projections; presents an extensive selection of methods, algorithms, and techniques; examines advanced techniques in CG, including the nature and properties of light and color, graphics standards and file formats, and fractals; explores the principles of image compression; describes the important input/output graphics devices.

'Downright revolutionary... the title is a major understatement... 'Quantum Programming' may ultimately change the way embedded software is designed.' — Michael Barr, Editor-in-Chief, Embedded Systems Programming magazine (Click here

Practical Statecharts in C/C++ illustrates how to efficiently code statecharts directly in C/C++. You get a lightweight alternative to CASE tools that permits you to model reactive systems with UML statecharts.

Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.

Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.

What You Will Learn:

Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure
Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews
Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern

Who This Book Is For :
IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data