Foundations Of Pygtk Development

Foundations Of Pygtk Development Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Foundations Of Pygtk Development book. This book definitely worth reading, it is an incredibly well-written.

Foundations of PyGTK Development

W. David Ashley,Andrew Krause
Foundations of PyGTK Development Book PDF

Author : W. David Ashley,Andrew Krause
Publisher : Apress
Page : 574 pages
File Size : 51,7 Mb
Release : 2018-12-21
Category : Computers
ISBN : 9781484241790

Get Book

Foundations of PyGTK Development by W. David Ashley,Andrew Krause Pdf

GTK+ is one of the most influential graphical toolkits for the Linux operating system. It is the technology upon which the GNOME and XFCE desktop environments are based, and its crucial to have clear understanding of its complexities to build even a simple Linux desktop application. Foundations of GTK+ Development guides you through these complexities, laying the foundation that will allow you to cross from novice to professional. Foundations of GTK+ Development is aimed at C programmers and presents numerous real-life examples that you can immediately put to use in your projects. Some familiarity with C programming is assumed, as the book delves into new topics from the beginning. Topics like object inheritance are covered early on to allow for complete understanding of code examples later. And the provided examples are real-life situations that can help you get a head start on your own applications.

Foundations of GTK+ Development

Andrew Krause
Foundations of GTK Development Book PDF

Author : Andrew Krause
Publisher : Apress
Page : 639 pages
File Size : 54,8 Mb
Release : 2007-09-09
Category : Computers
ISBN : 9781430203865

Get Book

Foundations of GTK+ Development by Andrew Krause Pdf

There are only two mainstream solutions for building the graphical interface of Linux-based desktop applications, and GTK+ (GIMP Toolkit) is one of them. It is a necessary technology for all Linux programmers. This book guides the reader through the complexities of GTK+, laying the groundwork that allows the reader to make the leap from novice to professional. Beginning with an overview of key topics such as widget choice, placement, and behavior, readers move on to learn about more advanced issues. Replete with real-world examples, the developer can quickly take advantages of the concepts presented within to begin building his own projects.

Foundations of Agile Python Development

Jeff Younker
Foundations of Agile Python Development Book PDF

Author : Jeff Younker
Publisher : Apress
Page : 407 pages
File Size : 48,6 Mb
Release : 2009-06-18
Category : Computers
ISBN : 9781430206354

Get Book

Foundations of Agile Python Development by Jeff Younker Pdf

The agile development movement represents the latest advances in tools and techniques intended to boost developer productivity. This is the first book to apply these sought after principles to Python developers, introducing both the tools and techniques built and supported by the Python community. Authored by Jeff Younker, who is perhaps best known for his creation of a popular Python testing framework, this book is sure to be a hit among readers who may have reached their limits of knowledge regarding the Python language, yet are seeking to improve their understanding of how sound processes can boost productivity to unparalleled heights.

Learning Python Application Development

Ninad Sathaye
Learning Python Application Development Book PDF

Author : Ninad Sathaye
Publisher : Packt Publishing Ltd
Page : 454 pages
File Size : 44,8 Mb
Release : 2016-09-07
Category : Computers
ISBN : 9781785885709

Get Book

Learning Python Application Development by Ninad Sathaye Pdf

Take Python beyond scripting to build robust, reusable, and efficient applications About This Book Get to grips with Python techniques that address commonly encountered problems in general application development. Develop, package, and deploy efficient applications in a fun way. All-practical coverage of the major areas of application development, including best practices, exception handling, testing, refactoring, design patterns, performance, and GUI application development. Who This Book Is For Do you know the basics of Python and object oriented programming? Do you want to go an extra mile and learn techniques to make your Python application robust, extensible, and efficient? Then this book is for you. What You Will Learn Build a robust application by handling exceptions. Modularize, package, and release the source distribution. Document the code and implement coding standards. Create automated tests to catch bugs in the early development stage. Identify and re-factor badly written code to improve application life. Detect recurring problems in the code and apply design patterns. Improve code efficiency by identifying performance bottlenecks and fixing them. Develop simple GUI applications using Python. In Detail Python is one of the most widely used dynamic programming languages, supported by a rich set of libraries and frameworks that enable rapid development. But fast paced development often comes with its own baggage that could bring down the quality, performance, and extensibility of an application. This book will show you ways to handle such problems and write better Python applications. From the basics of simple command-line applications, develop your skills all the way to designing efficient and advanced Python apps. Guided by a light-hearted fantasy learning theme, overcome the real-world problems of complex Python development with practical solutions. Beginning with a focus on robustness, packaging, and releasing application code, you'll move on to focus on improving application lifetime by making code extensible, reusable, and readable. Get to grips with Python refactoring, design patterns and best practices. Techniques to identify the bottlenecks and improve performance are covered in a series of chapters devoted to performance, before closing with a look at developing Python GUIs. Style and approach The book uses a fantasy game theme as a medium to explain various topics. Specific aspects of application development are explained in different chapters. In each chapter the reader is presented with an interesting problem which is then tackled using hands-on examples with easy-to-follow instructions.

Learn Web Development with Python

Fabrizio Romano,Gaston C. Hillar,Arun Ravindran
Learn Web Development with Python Book PDF

Author : Fabrizio Romano,Gaston C. Hillar,Arun Ravindran
Publisher : Packt Publishing Ltd
Page : 779 pages
File Size : 40,6 Mb
Release : 2018-12-21
Category : Computers
ISBN : 9781789950885

Get Book

Learn Web Development with Python by Fabrizio Romano,Gaston C. Hillar,Arun Ravindran Pdf

A comprehensive guide to Python programming for web development using the most popular Python web framework - Django Key FeaturesLearn the fundamentals of programming with Python and building web appsBuild web applications from scratch with DjangoCreate real-world RESTful web services with the latest Django frameworkBook Description If you want to develop complete Python web apps with Django, this Learning Path is for you. It will walk you through Python programming techniques and guide you in implementing them when creating 4 professional Django projects, teaching you how to solve common problems and develop RESTful web services with Django and Python. You will learn how to build a blog application, a social image bookmarking website, an online shop, and an e-learning platform. Learn Web Development with Python will get you started with Python programming techniques, show you how to enhance your applications with AJAX, create RESTful APIs, and set up a production environment for your Django projects. Last but not least, you’ll learn the best practices for creating real-world applications. By the end of this Learning Path, you will have a full understanding of how Django works and how to use it to build web applications from scratch. This Learning Path includes content from the following Packt products: Learn Python Programming by Fabrizio RomanoDjango RESTful Web Services by Gastón C. HillarDjango Design Patterns and Best Practices by Arun RavindranWhat you will learnExplore the fundamentals of Python programming with interactive projectsGrasp essential coding concepts along with the basics of data structures and control flowDevelop RESTful APIs from scratch with Django and the Django REST FrameworkCreate automated tests for RESTful web servicesDebug, test, and profile RESTful web services with Django and the Django REST FrameworkUse Django with other technologies such as Redis and CeleryWho this book is for If you have little experience in coding or Python and want to learn how to build full-fledged web apps, this Learning Path is for you. No prior experience with RESTful web services, Python, or Django is required, but basic Python programming experience is needed to understand the concepts covered.

Tkinter GUI Application Development Cookbook

Alejandro Rodas de Paz
Tkinter GUI Application Development Cookbook Book PDF

Author : Alejandro Rodas de Paz
Publisher : Packt Publishing Ltd
Page : 234 pages
File Size : 44,9 Mb
Release : 2018-03-30
Category : Computers
ISBN : 9781788627771

Get Book

Tkinter GUI Application Development Cookbook by Alejandro Rodas de Paz Pdf

As one of the more versatile programming languages, Python is well-known for its batteries-included philosophy, which includes a rich set of modules in its standard library; Tkinter is the library included for building desktop applications. Due to this, Tkinter is a common choice for rapid GUI development, and more complex applications can ...

Programming in Python 3

Mark Summerfield
Programming in Python 3 Book PDF

Author : Mark Summerfield
Publisher : Pearson Education
Page : 552 pages
File Size : 52,8 Mb
Release : 2008-12-16
Category : Computers
ISBN : 0321606590

Get Book

Programming in Python 3 by Mark Summerfield Pdf

Python 3 is the best version of the language yet: It is more powerful, convenient, consistent, and expressive than ever before. Now, leading Python programmer Mark Summerfield demonstrates how to write code that takes full advantage of Python 3’s features and idioms. The first book written from a completely “Python 3” viewpoint, Programming in Python 3 brings together all the knowledge you need to write any program, use any standard or third-party Python 3 library, and create new library modules of your own. Summerfield draws on his many years of Python experience to share deep insights into Python 3 development you won’t find anywhere else. He begins by illuminating Python’s “beautiful heart”: the eight key elements of Python you need to write robust, high-performance programs. Building on these core elements, he introduces new topics designed to strengthen your practical expertise—one concept and hands-on example at a time. This book’s coverage includes Developing in Python using procedural, object-oriented, and functional programming paradigms Creating custom packages and modules Writing and reading binary, text, and XML files, including optional compression, random access, and text and XML parsing Leveraging advanced data types, collections, control structures, and functions Spreading program workloads across multiple processes and threads Programming SQL databases and key-value DBM files Utilizing Python’s regular expression mini-language and module Building usable, efficient, GUI-based applications Advanced programming techniques, including generators, function and class decorators, context managers, descriptors, abstract base classes, metaclasses, and more Programming in Python 3 serves as both tutorial and language reference, and it is accompanied by extensive downloadable example code—all of it tested with the final version of Python 3 on Windows, Linux, and Mac OS X.

Python Scripting for Computational Science

Hans Petter Langtangen
Python Scripting for Computational Science Book PDF

Author : Hans Petter Langtangen
Publisher : Springer Science & Business Media
Page : 743 pages
File Size : 43,9 Mb
Release : 2013-03-14
Category : Computers
ISBN : 9783662054505

Get Book

Python Scripting for Computational Science by Hans Petter Langtangen Pdf

Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the author teaches you how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries.

Text Analytics with Python

Dipanjan Sarkar
Text Analytics with Python Book PDF

Author : Dipanjan Sarkar
Publisher : Apress
Page : 397 pages
File Size : 54,9 Mb
Release : 2016-11-30
Category : Computers
ISBN : 9781484223888

Get Book

Text Analytics with Python by Dipanjan Sarkar Pdf

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

Learn Python Programming

Fabrizio Romano
Learn Python Programming Book PDF

Author : Fabrizio Romano
Publisher : Packt Publishing Ltd
Page : 495 pages
File Size : 40,8 Mb
Release : 2018-06-29
Category : Computers
ISBN : 9781788991650

Get Book

Learn Python Programming by Fabrizio Romano Pdf

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data science with tools such as IPython and Jupyter Utilize Python for web development and build a real-world app using Django Book DescriptionLearn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned.What you will learn Get Python up and running on Windows, Mac, and Linux Explore fundamental concepts of coding using data structures and control flow Write elegant, reusable, and efficient code in any situation Understand when to use the functional or OOP approach Cover the basics of security and concurrent/asynchronous programming Create bulletproof, reliable software by writing tests Build a simple website in Django Fetch, clean, and manipulate data Who this book is for Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book shows you how to create a full-fledged application.

MATLAB

Scott T. Smith
MATLAB Book PDF

Author : Scott T. Smith
Publisher : Dog Ear Publishing
Page : 325 pages
File Size : 55,6 Mb
Release : 2006
Category : Grafik kullanıcı arabirimleri (Bilgisayar sistemleri)
ISBN : 9781598581812

Get Book

MATLAB by Scott T. Smith Pdf

After more than 20 years of development, MATLAB has evolved from a powerful matrix calculation application into a universal programming tool used extensively within scientific and engineering communities both commercial and academic. MATLAB versions 6.x and 7.x include functionality for developing advanced graphical user interfaces, GUIs, and real-time animation and graphics. GUI applications offer many advantages for users who wish to solve complex problems by providing interactivity and visual feedback. Some common examples of application areas where GUI development is desirable: . Image and Video Processing . Signal Processing . Communications . Simulation of Complex Systems . Instrumentation and Data Acquisition Interfaces . Control Systems . Financial Analysis . Animation of 2D or 3D Graphical Data This text introduces you to the capabilities of MATLAB for GUI development and covers the following areas in detail: . Handle Graphics(R) programming and low-level GUIs . High-level GUI development using GUIDE . The structure of GUIs including event processing, callbacks, timers, and real-time animation of plots / data . Advanced GUI architectures including multiple figure GUIs and image mapped interface controls Instructional examples and exercises are provided throughout each chapter that offers a hands-on approach to learning MATLAB GUI development. The M-file code for each example and exercise solution is available for download on the web to help you quickly learn how to develop your own GUIs About The Author Scott T. Smith received his MSEE degree from SUNY at Buffalo in the fields of image sensor applications and image processing. He currently works for Micron Technology Inc. in California as an Imaging Engineer and has 10 years of experience working with MATLAB and developing GUI applications. Previous work experience includes 3 years at the David Sarnoff Research Center (Former RCA Research Labs) in Princeton, NJ as an Associate Member of the Technical Staff in the Advanced Imaging Group as well 3 years as an R&D engineer for an X-ray/scientific imaging company. He is a member of SPIE and IEEE and is an author or co-author of several papers and patents in the field of imaging.

Learning Python

Fabrizio Romano
Learning Python Book PDF

Author : Fabrizio Romano
Publisher : Packt Publishing Ltd
Page : 442 pages
File Size : 54,6 Mb
Release : 2015-12-24
Category : Computers
ISBN : 9781785284571

Get Book

Learning Python by Fabrizio Romano Pdf

Learn to code like a professional with Python – an open source, versatile, and powerful programming language About This Book Learn the fundamentals of programming with Python – one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python's portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data science Who This Book Is For Python is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeper In Detail Learning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. Style and approach This book is an easy-to-follow guide that will take you from a novice to the proficient level at a comfortable pace, using a lot of simple but effective examples. Each topic is explained thoroughly, and pointers are left for the more inquisitive readers to dig deeper and expand their knowledge.

Matplotlib for Python Developers

Sandro Tosi
Matplotlib for Python Developers Book PDF

Author : Sandro Tosi
Publisher : Packt Publishing Ltd
Page : 438 pages
File Size : 49,8 Mb
Release : 2009-11-09
Category : Computers
ISBN : 9781847197917

Get Book

Matplotlib for Python Developers by Sandro Tosi Pdf

This is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that reading and understanding them is easy. All of the examples build gradually with code snippets, their explanations, and plot images where necessary with the complete code and output presented at the end. This book is essentially for Python developers who have a good knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all.

Gtk+ Programming in C

Syd Logan
Gtk Programming in C Book PDF

Author : Syd Logan
Publisher : Prentice Hall
Page : 872 pages
File Size : 45,9 Mb
Release : 2002
Category : Computers
ISBN : UOM:39015053511385

Get Book

Gtk+ Programming in C by Syd Logan Pdf

The ultimate guide to building graphical Linux(r)/UNIX(r) applications with Gtk+ 1.2! Write great graphical applications for Linux(r) and UNIX(r)! Leverage the full power of Gtk+ 1.2, GLIB, and GDK Includes comprehensive Gtk+ widget coverage: explanations, examples, and reference Also contains Linux/UNIX C programming quick-start/refresher The more popular Linux becomes, the more developers want to build graphical applications that run in Linux/UNIX environments-and Gtk+ 1.2 offers a powerful toolset for doing so. In this start-to-finish tutorial and reference, respected Linux/UNIX developer Syd Logan covers everything programmers need to begin building powerful graphical applications with Gtk+ 1.2 immediately. Gtk+ Programming in C covers all this, and more: The fundamentals of Linux/UNIX programming with C A quick GTK+ startup section for novices: constructing simple applications, step by step Understanding GTK+'s flexible C-based, object-oriented architecture Working with signals, events, objects, and types Comprehensive widgets coverage: base, menu, layout, range, scrollbar, scale, container, text, and more Creating and using dialogs Container and Bin classes Expert introductions to the GLIB and GDK libraries If you're ready to write easy-to-use applications for the world's fastest growing, most robust OS platforms, you've come to the right book: Gtk+ Programming in C, by Syd Logan.

Text Analytics with Python

Dipanjan Sarkar
Text Analytics with Python Book PDF

Author : Dipanjan Sarkar
Publisher : Apress
Page : 688 pages
File Size : 48,8 Mb
Release : 2019-05-21
Category : Computers
ISBN : 9781484243541

Get Book

Text Analytics with Python by Dipanjan Sarkar Pdf

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques. There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release. What You'll Learn • Understand NLP and text syntax, semantics and structure• Discover text cleaning and feature engineering• Review text classification and text clustering • Assess text summarization and topic models• Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.