Mastering Pyqt
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Mastering Pyqt
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Author : Williams Asiedu
language : en
Publisher: Ouereila Publishing House
Release Date : 2025-07-08
Mastering Pyqt written by Williams Asiedu and has been published by Ouereila Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.
Mastering PyQt: Fast Application Development with Python and PyQt is your essential guide to designing and developing robust desktop applications with a professional finish. This hands-on book covers both Python foundations and in-depth PyQt usage, making it perfect for both newcomers and experienced developers wanting to sharpen their GUI skills. Readers will learn everything from setting up Python and understanding GUI concepts to advanced PyQt widget usage and application packaging. With clear explanations, practical examples, and step-by-step projects, you’ll gain the confidence to create modern, user-friendly software. Key Features: Python setup and fundamentals for absolute beginners Comprehensive coverage of PyQt widgets, layouts, and design principles Integration of menus, toolbars, dialogs, and media Advanced styling with CSS and custom drawing with QPainter Packaging your applications for Windows, macOS, and Linux Hands-on Projects Included: Building a Simple Calculator with core widgets Designing a Login Page with input validation Developing a feature-rich English App with dictionary lookup, spelling correction, tokenization, pluralization, and noun phrase extraction Creating a Music Player App with audio file selection, playback, and progress monitoring Each chapter offers code examples, notes, tips, and in-depth views to guide your learning. By the end of this book, you'll be able to design, develop, and package professional-grade desktop applications—all in Python. Whether you're an instructor, student, hobbyist, or software engineer, Mastering PyQt is your gateway to building beautiful and functional applications faster than ever.
Mastering Gui Programming With Python
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Author : Alan D. Moore
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-05-24
Mastering Gui Programming With Python written by Alan D. Moore and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-24 with Computers categories.
An advanced guide to creating powerful high-performance GUIs for modern, media-rich applications in various domains such as business and game development Key FeaturesGain comprehensive knowledge of Python GUI development using PyQt 5.12Explore advanced topics including multithreaded programming, 3D animation, and SQL databasesBuild cross-platform GUIs for Windows, macOS, Linux, and Raspberry PiBook Description PyQt5 has long been the most powerful and comprehensive GUI framework available for Python, yet there is a lack of cohesive resources available for Python programmers to learn how to use it. This book will be your comprehensive guide to exploring GUI development with PyQt5. You will get started with an introduction to PyQt5, before going on to develop stunning GUIs with modern features. You will learn how to build forms using QWidgets and delve into important aspects of GUI development such as layouts, size policies, and event-driven programming. Moving ahead, you'll discover PyQt5's most powerful features through chapters on audio-visual programming with QtMultimedia, database-driven software with QtSQL, and web browsing with QtWebEngine. Next, in-depth coverage of multithreading and asynchronous programming will help you run tasks asynchronously and build high-concurrency processes with ease. In later chapters, you'll gain insights into QOpenGLWidget, along with mastering techniques for creating 2D graphics with QPainter. You'll also explore PyQt on a Raspberry Pi and interface it with remote systems using QtNetwork. Finally, you will learn how to distribute your applications using setuptools and PyInstaller. By the end of this book, you will have the skills you need to develop robust GUI applications using PyQt. What you will learnGet to grips with the inner workings of PyQt5Understand how elements in a GUI application communicate with signals and slotsStudy techniques for styling an applicationExplore database-driven applications with the QtSQL moduleCreate 2D graphics with QPainterDelve into 3D graphics with QOpenGLWidgetBuild network and web-aware applications with QtNetwork and QtWebEngineWho this book is for This book is for programmers who want to create attractive, functional, and powerful GUIs using the Python language. You'll also find this book useful if you are a student, professional, or anyone who wants to start exploring GUIs. Although prior knowledge of the Python language is assumed, experience with PyQt, Qt, or GUI programming is not required.
Pyqt Development Reference
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-17
Pyqt Development Reference written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
"PyQt Development Reference" "PyQt Development Reference" is a comprehensive and meticulously structured guide designed for both aspiring and experienced developers building professional-grade graphical applications in Python with the PyQt framework. The book unravels PyQt's foundations, beginning with a deep dive into its architecture, core concepts, and the relationship to Python and various Qt bindings. Readers gain practical insight into setting up robust development environments, navigating version compatibility between PyQt variants, and employing proven workflows that maximize developer productivity. With detailed attention to user interface design, the book offers exhaustive coverage of QtWidgets, layout management, dynamic UI construction, and custom widget creation. It further explores advanced topics such as rendering, graphics, and multimedia integration, enabling developers to craft visually compelling and interactive applications. PyQt’s powerful Model/View architecture, data visualization techniques, multithreading, asynchronous programming, and network integration are all explored in depth, ensuring readers are equipped to tackle complex data-driven and concurrent application scenarios. To ensure real-world readiness, "PyQt Development Reference" dedicates substantial focus to software quality, deployment, and maintainability. Practical chapters on automated testing, profiling, memory management, packaging, and cross-platform distribution are coupled with advanced coverage of architectural patterns, extensibility, internationalization, and security. Complete with industry case studies and best practices for maintainable codebases, this reference is an indispensable resource for mastering every aspect of modern PyQt development.
Mastering Python Design Patterns
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Author : Kamon Ayeva
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31
Mastering Python Design Patterns written by Kamon Ayeva and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-31 with Computers categories.
Learn Python design patterns such as Observer, Proxy, Throttling, Dependency Injection, and Anti-Patterns to develop efficient, scalable applications. Key Features Master essential design principles to build robust software architecture with the latest features in Python 3.10 Leverage concurrency, async patterns, and testing strategies for optimal performance Apply SOLID principles and advanced patterns to real-world Python projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications. The book delves into design principles and patterns in Python, covering both classic and modern patterns, and apply them to solve daily challenges as a Python developer or architect. Co-authored by two Python experts with a combined experience of three decades, this new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll find out how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient. By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications.What you will learn Master fundamental design principles and SOLID concepts Become familiar with Gang of Four (GoF) patterns and apply them effectively in Python Explore architectural design patterns to architect robust systems Delve into concurrency and performance patterns for optimized code Discover distributed systems patterns for scalable applications Get up to speed with testing patterns to ensure code reliability and maintainability Develop modular, decoupled systems and manage dependencies efficiently Who this book is for With a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.
Mastering Python Data Visualization
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Author : Kirthi Raman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-10-27
Mastering Python Data Visualization written by Kirthi Raman and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-27 with Computers categories.
Generate effective results in a variety of visually appealing charts using the plotting packages in Python About This Book Explore various tools and their strengths while building meaningful representations that can make it easier to understand data Packed with computational methods and algorithms in diverse fields of science Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse Who This Book Is For If you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed. What You Will Learn Gather, cleanse, access, and map data to a visual framework Recognize which visualization method is applicable and learn best practices for data visualization Get acquainted with reader-driven narratives and author-driven narratives and the principles of perception Understand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some interesting data structures that come with it Explore with various visualization choices how Python can be very useful in computation in the field of finance and statistics Get to know why Python is the second choice after Java, and is used frequently in the field of machine learning Compare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.js Discover how Python can be used in conjunction with NoSQL such as Hive to produce results efficiently in a distributed environment In Detail Python has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, biological sciences, social science, health care, and many more. The variety of tools and approaches available within Python community is stunning, and can bolster and enhance visual story experiences. This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical linear, and non-linear regression; clustering and classification, but also in helping you understand the aesthetics and best practices of data visualization. The book concludes with interesting examples such as social networks, directed graph examples in real-life, data structures appropriate for these problems, and network analysis. By the end of this book, you will be able to effectively solve a broad set of data analysis problems. Style and approach The approach of this book is not step by step, but rather categorical. The categories are based on fields such as bioinformatics, statistical and machine learning, financial computation, and linear algebra. This approach is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields
Mastering Python Design Patterns
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Author : Sakis Kasampalis
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-01-28
Mastering Python Design Patterns written by Sakis Kasampalis and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-28 with Computers categories.
This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.
Gui Magic Mastering Real Projects In Python
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Author : John Nunez
language : en
Publisher: John Nunez
Release Date : 2025-03-14
Gui Magic Mastering Real Projects In Python written by John Nunez and has been published by John Nunez this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-14 with Computers categories.
Increase your Python’s GUI programming potential with real-world projects. GUI Magic: Mastering Real Projects in Python by John Nunez is a comprehensive guide that transforms you from a Python coder into a confident GUI application developer. This book walks you through building interactive desktop applications step by step, using clear explanations and hands-on examples. Whether you're a beginner just starting out or an experienced developer looking to sharpen your GUI skills, GUI Magic offers an accessible yet in-depth journey into Python GUI development. Key Features Step-by-Step Projects: Build real-world GUI applications from scratch with clear, incremental instructions. Each project includes detailed code examples and explanations—from basic windows to complex multi-screen apps—ensuring you learn by doing and develop a portfolio of GUI projects. Major GUI Frameworks Covered: Master Python’s top GUI libraries all in one place. Create interfaces with Tkinter for quick and simple projects, PyQt5 for professional-grade applications, Kivy for touch-friendly mobile apps, and wxPython for native desktop experiences. Best Practices & Optimization: Write clean, maintainable code by following industry best practices. Learn how to optimize your GUI’s performance and responsiveness, so your applications run smoothly even as they grow in complexity. Easy Deployment: Discover how to package and distribute your Python GUI apps on multiple platforms. The book covers tools and techniques to turn your projects into standalone executables for Windows, macOS, and Linux—making it easy to share your applications with others. For Beginners & Advanced Users: Start with fundamental GUI concepts and gradually move to advanced topics like multithreading, custom widgets, and database integration. The material is approachable for first-time GUI builders, while seasoned developers will find deep insights and pro tips to elevate their skills. GUI Magic: Mastering Real Projects in Python is the perfect resource to bridge the gap between theory and practice. By the end of this book, you’ll have the confidence and skills to design professional-quality GUIs in Python. Bring your ideas to life on-screen and create applications users will love!
Mastering Geospatial Analysis With Python
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Author : Silas Toms
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-27
Mastering Geospatial Analysis With Python written by Silas Toms and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with Computers categories.
Explore GIS processing and learn to work with various tools and libraries in Python. Key Features Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas Leverage new ArcGIS API to process geospatial data for the cloud. Explore various Python geospatial web and machine learning frameworks. Book Description Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. What you will learn Manage code libraries and abstract geospatial analysis techniques using Python 3. Explore popular code libraries that perform specific tasks for geospatial analysis. Utilize code libraries for data conversion, data management, web maps, and REST API creation. Learn techniques related to processing geospatial data in the cloud. Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. Who this book is for The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3.
Mastering Python A Comprehensive Guide For Beginners And Experts
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Mastering Python A Comprehensive Guide For Beginners And Experts written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock the full potential of Python programming with "Mastering Python: A Comprehensive Guide for Beginners and Experts." Whether you're a novice just starting your coding journey or an experienced developer looking to sharpen your skills, this book is your ultimate resource. Why This Book? Python is one of the most popular and versatile programming languages in the world. Its simplicity and readability make it an excellent choice for beginners, while its powerful libraries and frameworks cater to the needs of seasoned professionals. "Mastering Python" is designed to cater to both ends of the spectrum, providing a detailed, step-by-step guide that covers everything you need to know about Python.
Rapid Gui Programming With Python And Qt
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Author : Mark Summerfield
language : en
Publisher: Pearson Education
Release Date : 2007-10-18
Rapid Gui Programming With Python And Qt written by Mark Summerfield and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-18 with Computers categories.
Whether you're building GUI prototypes or full-fledged cross-platform GUI applications with native look-and-feel, PyQt 4 is your fastest, easiest, most powerful solution. Qt expert Mark Summerfield has written the definitive best-practice guide to PyQt 4 development. With Rapid GUI Programming with Python and Qt you'll learn how to build efficient GUI applications that run on all major operating systems, including Windows, Mac OS X, Linux, and many versions of Unix, using the same source code for all of them. Summerfield systematically introduces every core GUI development technique: from dialogs and windows to data handling; from events to printing; and more. Through the book's realistic examples you'll discover a completely new PyQt 4-based programming approach, as well as coverage of many new topics, from PyQt 4's rich text engine to advanced model/view and graphics/view programming. Every key concept is illuminated with realistic, downloadable examples–all tested on Windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on Windows and Linux with Qt 4.3 and PyQt 4.3.