Mastering Gui Programming With Python

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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.

Python Gui Programming Cookbook

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Author : Burkhard Meier
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-10-11

Python Gui Programming Cookbook written by Burkhard Meier 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 2019-10-11 with Computers categories.

Over 90 recipes to help you develop widgets, forms, layouts, charts, and much more using the latest features of Python 3 Key FeaturesUse object-oriented programming to develop impressive GUIs in PythonCreate interesting charts to visually represent data using MatplotlibDevelop GUIs with the latest versions of tkinter, PyQt5, and wxPython frameworksBook Description Python is a multi-domain, interpreted programming language that is easy to learn and implement. With its wide support for frameworks to develop GUIs, you can build interactive and beautiful GUI-based applications easily using Python. This third edition of Python GUI Programming Cookbook follows a task-based approach to help you create effective GUIs with the smallest amount of code. Every recipe in this book builds upon the last to create an entire, real-life GUI application. These recipes also help you solve problems that you might encounter while developing GUIs. This book mainly focuses on using Python’s built-in tkinter GUI framework. You'll learn how to create GUIs in Python using simple programming styles and object-oriented programming (OOP). As you add more widgets and expand your GUI, you will learn how to connect to networks, databases, and graphical libraries that greatly enhance the functionality of your GUI. You’ll also learn how to use threading to ensure that your GUI doesn't become unresponsive. Toward the end, you’ll learn about the versatile PyQt GUI framework, which comes along with its own visual editor that allows you to design GUIs using drag and drop features. By the end of the book, you’ll be an expert in designing Python GUIs and be able to develop a variety of GUI applications with ease. What you will learnCreate amazing GUIs with Python's built-in tkinter moduleCustomize GUIs using layout managers to arrange GUI widgetsAdvance from the typical waterfall coding style to an OOP style using PythonDevelop beautiful charts using the free Matplotlib Python moduleUse threading in a networked environment to make GUIs responsiveDiscover ways to connect GUIs to a MySQL databaseUnderstand how unit tests can be created and internationalize GUIDelve into the world of GUI creation using PyQt5Who this book is for If you’re a programmer or developer looking to enhance your Python skills by writing powerful GUI applications, this book is for you. Familiarity with the Python programming language is necessary to get the most out of the book.

Mastering Python 3 Programming

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Author : Subburaj Ramasamy
language : en
Publisher: BPB Publications
Release Date : 2024-05-14

Mastering Python 3 Programming written by Subburaj Ramasamy and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.

Learn the nitty-gritty of Python 3 programming language by coding and executing programs seamlessly in a lucid manner KEY FEATURES ● Python 3 fundamentals, from data manipulation to control flow. ● Key concepts like data structures, algorithms, and Python applications, catering to a diverse audience. ● Beginner-friendly guide with step-by-step explanations and practical examples. DESCRIPTION Python 3's clear and concise syntax and extensive collection of built-in libraries and frameworks make it a powerful and versatile programming language. This comprehensive guide, "Mastering Python 3 Programming", is designed to take you from the ground up to proficiency, equipping you to create effective Python programs. This book provides an extensive overview of Python programming, covering a diverse range of topics essential for understanding Python 3. Each chapter explores key concepts like Unicode strings, functions and recursions, lists, tuples, sets, and dictionaries, along with advanced topics such as object-oriented programming, file handling, exception handling, and more. With detailed explanations and real-life examples, you will be able to build a strong understanding of Python 3. Throughout the book, you will find useful concepts and Python libraries explained clearly, along with case studies, executable programs, exercises, and easy-to-follow style. This book focuses on real-world Python applications, developing critical thinking and problem-solving skills. It prepares students for Python challenges, equipping them to contribute meaningfully in their fields. With a deep understanding of Python, students gain confidence to explore new opportunities and drive innovation. WHAT YOU WILL LEARN ● Set up IDLE for Python programming and execute programs. ● Adapt algorithm based problem-solving techniques. ● Utilize Python libraries for data visualization. ● Grasp data structures and common algorithms. ● Master decorators, file handling, exception handling, inheritance, polymorphism, and recursion in Python. WHO THIS BOOK IS FOR The target audience for this book includes undergraduate students from diverse academic backgrounds, including life sciences, mathematics, commerce, management, arts, and individuals who are new to computer science. TABLE OF CONTENTS 1. Introduction to Python 3 2. Algorithmic Problem Solving 3. Numeric Computations and Console Input 4. Unicode, Strings and Console Output 5. Selection and Loops 6. Functions and Recursion 7. Lists 8. Tuples, Sets, and Dictionaries 9. Introduction to Object-Oriented Programming 10. Inheritance and Polymorphism 11. File Handling 12. Exception Handling 13. Gems of Python 14. Data Structures and Algorithms using Python 15. Data Visualization 16. Python Applications and Libraries Appendix 1: Python Projects Appendix 2: List of Built-in Functions in Python Appendix 3: Answers to Review Questions

Python In Depth

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Author : Nathan Venture, D
language : en
Publisher: eBookIt.com
Release Date : 2024-08-19

Python In Depth written by Nathan Venture, D and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Computers categories.

Step Into the Future of Coding with Python: Your Comprehensive Guide Awaits Dive into the vibrant universe of Python and emerge as a skilled coder and programmer equipped with the knowledge to tackle any challenge the digital world throws your way. Python in Depth: A Multipurpose Coder and Programmer's Guide is not just another programming book; it's a beacon guiding you through the ever-evolving landscape of Python, from basic concepts to the most advanced applications. Begin your journey with an insightful introduction that not only welcomes you to the Python community but also prepares you for the exciting path ahead. Explore the world of Python in our first chapter, understanding why Python's simplicity and versatility make it the go-to language for professionals worldwide. Whether you're setting up your environment, selecting an IDE, or diving into Python's syntax and structure, this guide ensures a smooth initiation into coding practices that matter. But that's just the start.As you progress, immerse yourself in intermediate and advanced topics that are crucial for modern development. From object-oriented programming, exception handling, to exploring Python's extensive library ecosystem, every chapter serves as a stepping stone towards mastery. Delve into databases, web frameworks like Django and Flask, and unlock the potential of Python in data science, machine learning, and beyond. What truly sets this guide apart is its dedication to not just teaching Python, but doing so in a manner that promotes readability, efficiency, and best practices. Learn how to optimize your code, adhere to the Python style guide, and navigate the nuances of collaborative development with ease. By the end of this comprehensive guide, you will not only have a deep understanding of Python's core concepts but also have the skills to apply them in real-world scenarios - from web development and data analysis to networking, security, and even creative coding. Whether you're a complete beginner or looking to expand your knowledge, Python in Depth: A Multipurpose Coder and Programmer's Guide is the key to unlocking your full potential in today's tech-driven world. Embark on this transformative journey through Python and ready yourself for a future where the possibilities are limitless. It's time to code, create, and innovate. Let's get started.

Mastering Matlab Gu

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Author : Vivian Siahaan
language : en
Publisher: SPARTA PUBLISHING
Release Date : 2019-11-14

Mastering Matlab Gu written by Vivian Siahaan and has been published by SPARTA PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-14 with Computers categories.

This book covers how to implement MATLAB GUI from scratch: Discrete Signals And Systems, IIR Filter: Direct Form I, IIR Filter: Direct Form II, IIR Filter: Lattice Form, Odd Length Symmetric Linear-Phase Filter, Hamming-Window-Based FIR Filter And Its Implementation On Audio File, and Various Windows Based FIR Filter And Its Implementation On Audio Signal. Primarily aimed at a first course in programming for high school and undergraduate students, this book teaches the practical concepts of GUI programming. The chapter sequence covers programs that produce graphics, building up to an emphasis on GUI tools for signal processing. Topics include programming basics, creating GUI with GUIDE, and graphics and GUI techniques.

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.

Gui Programming With Python

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Author : Alex Coder
language : en
Publisher: Independently Published
Release Date : 2024-07-09

Gui Programming With Python written by Alex Coder and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-09 with Computers categories.

Unlock the power of creating visually appealing, user-friendly applications with Python's GUI programming capabilities. In GUI Programming with Python, you'll discover the essential skills to design and implement graphical user interfaces that transform how users interact with your software. Starting with the fundamentals, this comprehensive guide covers key components such as windows, widgets, menus, dialogs, and layout managers. Explore the history and evolution of GUIs, delve into popular frameworks like Tkinter, PyQt, and wxPython, and learn how to overcome common challenges such as cross-platform compatibility and performance optimization. Whether you're developing desktop, web, mobile, or embedded applications, GUI Programming with Python provides the tools and techniques to create interfaces that are not only functional but also aesthetically pleasing and accessible.

Python Apps On Visual Studio Code

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Author : Swapnil Saurav
language : en
Publisher: BPB Publications
Release Date : 2024-02-02

Python Apps On Visual Studio Code written by Swapnil Saurav and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-02 with Computers categories.

Supercharge your Python skills: Build stunning apps using Visual Studio Code KEY FEATURES ● Effectively use VS Code for designing efficient Python programs. ● Learn to develop applications and master the concepts of Python. ● Master the popular VS Code and the most popular programming language Python. DESCRIPTION Python is the most user-friendly programming language, and with VS Code, coding becomes even easier. VS Code is a code editor that supports tasks like debugging and version control. This book will help readers enhance basic programming skills, create efficient Python applications with ease, and skip lengthy learning hours for smart development. Utilize the capabilities of Visual Studio Code with this book. From setting up the environment to developing Python applications, this book will help you explore various aspects of Visual Studio Code. Go in-depth with advanced topics like building desktop databases, mastering algorithms, and creating multi-threading applications. The readers will learn to create a Jupyter Dashboard, edit Jupyter Notebooks, master Tkinter GUI, and develop Flask web applications. Explore container work in Azure for a complete understanding of using VS Code in diverse development scenarios. By the end of this book, the readers will become self-reliant coding experts by creating smart solutions. WHAT YOU WILL LEARN ● Set up and configure Visual Studio Code for Python development. ● Use top extensions in Visual Studio Code to enhance productivity. ● Design advanced algorithms and build multi-threading applications. ● Master GUI development with Tkinter and build Flask-based web applications. ● Work with containers in Azure for deployment. WHO THIS BOOK IS FOR This book is for developers who may not have prior experience with Python programming, but want to learn Python programming through Visual Studio Code editor for Python development. TABLE OF CONTENTS 1. Introduction to VS Code 2. Setting up the Environment 3. Top Extensions in VS Code for Python 4. Developing Visualizing Python App in VS Code 5. Developing Desktop Application using Database 6. Advanced Algorithm Design 7. Building Multithreading Application 8. Building an Interactive Dashboard using Jupyter Notebook 9. Editing and Debugging Jupyter Notebook 10. Mastering Tkinter GUI Capabilities using VS Code 11. Developing Flask-based Web Applications 12. Working with Containers in Azure

Pemrograman Berbasis Event Dengan Pyqt5

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Author : Wiga Maulana Baihaqi, S.Kom, M.Eng.
language : id
Publisher: Zahira Media Publisher
Release Date : 2021-09-01

Pemrograman Berbasis Event Dengan Pyqt5 written by Wiga Maulana Baihaqi, S.Kom, M.Eng. and has been published by Zahira Media Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Computers categories.

Buku ini membahas tentang Dasar Pemrograman Berbasis Event, Fungsi, Pemrograman Berorientasi Objek, dan contoh-contoh penerapan aplikasi Pemrograman Berbasis Event dengan Bahasa Pemrograman Python. Pembahasan pada buku ini mulai dari, Pengenalan Konsep Pemrograman Berbasis Event, Pengenalan Visual Code, Fungsi, Kelas Dan Objek Python, Python PyQt5, Signals, Slots & Events, Layout Management PyQt5, Basic Widget PyQt5, dan Aplikasi Manajemen Karyawan (Studi Kasus).

Online Retail Clustering And Prediction Using Machine Learning With Python Gui

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Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2023-07-09

Online Retail Clustering And Prediction Using Machine Learning With Python Gui written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-09 with Computers categories.

In this project, we embarked on a comprehensive journey of exploring the dataset and conducting analysis and predictions in the context of online retail. We began by examining the dataset and performing RFM (Recency, Frequency, Monetary Value) analysis, which allowed us to gain valuable insights into customer purchase behavior. Using the RFM analysis results, we applied K-means clustering, a popular unsupervised machine learning algorithm, to group customers into distinct clusters based on their RFM values. This clustering approach helped us identify different customer segments within the online retail dataset. After successfully clustering the customers, we proceeded to predict the clusters for new customer data. To achieve this, we trained various machine learning models, including logistic regression, support vector machines (SVM), K-nearest neighbors (KNN), decision trees, random forests, gradient boosting, naive Bayes, extreme gradient boosting, light gradient boosting, and multi-layer perceptron. These models were trained on the RFM features and the corresponding customer clusters. To evaluate the performance of the trained models, we employed a range of metrics such as accuracy, recall, precision, and F1 score. Additionally, we generated classification reports to gain a comprehensive understanding of the models' predictive capabilities. In order to provide a user-friendly and interactive experience, we developed a graphical user interface (GUI) using PyQt. The GUI allowed users to input customer information and obtain real-time predictions of the customer clusters using the trained machine learning models. This made it convenient for users to explore and analyze the clustering results. The GUI incorporated visualizations such as decision boundaries, which provided a clear representation of how the clusters were separated based on the RFM features. These visualizations enhanced the interpretation of the clustering results and facilitated better decision-making. To ensure the availability of the trained models for future use, we implemented model persistence by saving the trained models using the joblib library. This allowed us to load the models directly from the saved files without the need for retraining, thus saving time and resources. In addition to the real-time predictions, the GUI showcased performance evaluation metrics such as accuracy, recall, precision, and F1 score. This provided users with a comprehensive assessment of the model's performance and helped them gauge the reliability of the predictions. To delve deeper into the behavior and characteristics of the models, we conducted learning curve analysis, scalability analysis, and performance curve analysis. These analyses shed light on the models' learning capabilities, their performance with varying data sizes, and their overall effectiveness in making accurate predictions. The entire process from dataset exploration to RFM analysis, clustering, model training, GUI development, and real-time predictions was carried out seamlessly, leveraging the power of Python and its machine learning libraries. This approach allowed us to gain valuable insights into customer segmentation and predictive modeling in the online retail domain. By combining data analysis, clustering, machine learning, and GUI development, we were able to provide a comprehensive solution for online retail businesses seeking to understand their customers better and make data-driven decisions. The developed system offered an intuitive interface and accurate predictions, paving the way for enhanced customer segmentation and targeted marketing strategies. Overall, this project demonstrated the effectiveness of integrating machine learning techniques with graphical user interfaces to provide a user-friendly and interactive platform for analyzing and predicting customer clusters in the online retail industry.