Gui Magic Mastering Real Projects In Python

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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!
The Big Book Of Small Python Projects
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Author : Al Sweigart
language : en
Publisher: No Starch Press
Release Date : 2021-06-25
The Big Book Of Small Python Projects written by Al Sweigart and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.
Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity. If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online. You’ll create: • Hangman, Blackjack, and other games to play against your friends or the computer • Simulations of a forest fire, a million dice rolls, and a Japanese abacus • Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver • A first-person 3D maze game • Encryption programs that use ciphers like ROT13 and Vigenère to conceal text If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!
Mastering Azure Machine Learning
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Author : Christoph Körner
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-04-30
Mastering Azure Machine Learning written by Christoph Körner 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 2020-04-30 with Computers categories.
Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using TensorFlow, Spark, and Kubernetes Key FeaturesMake sense of data on the cloud by implementing advanced analyticsTrain and optimize advanced deep learning models efficiently on Spark using Azure DatabricksDeploy machine learning models for batch and real-time scoring with Azure Kubernetes Service (AKS)Book Description The increase being seen in data volume today requires distributed systems, powerful algorithms, and scalable cloud infrastructure to compute insights and train and deploy machine learning (ML) models. This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud. The book starts with an overview of an end-to-end ML project and a guide on how to choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data experimentation, data preparation, and feature engineering using Azure Machine Learning and Python. You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. You'll also explore how to train, optimize, and tune models using Azure Automated Machine Learning and HyperDrive, and perform distributed training on Azure. Then, you'll learn different deployment and monitoring techniques using Azure Kubernetes Services with Azure Machine Learning, along with the basics of MLOps—DevOps for ML to automate your ML process as CI/CD pipeline. By the end of this book, you'll have mastered Azure Machine Learning and be able to confidently design, build and operate scalable ML pipelines in Azure. What you will learnSetup your Azure Machine Learning workspace for data experimentation and visualizationPerform ETL, data preparation, and feature extraction using Azure best practicesImplement advanced feature extraction using NLP and word embeddingsTrain gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine LearningUse hyperparameter tuning and Azure Automated Machine Learning to optimize your ML modelsEmploy distributed ML on GPU clusters using Horovod in Azure Machine LearningDeploy, operate and manage your ML models at scaleAutomated your end-to-end ML process as CI/CD pipelines for MLOpsWho this book is for This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory.
Learn Python 3 The Hard Way
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Author : Zed A. Shaw
language : en
Publisher: Addison-Wesley Professional
Release Date : 2017-06-26
Learn Python 3 The Hard Way written by Zed A. Shaw and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-26 with Computers categories.
You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3
Beyond The Basic Stuff With Python
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Author : Al Sweigart
language : en
Publisher: No Starch Press
Release Date : 2020-12-16
Beyond The Basic Stuff With Python written by Al Sweigart and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Computers categories.
BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: Coding style, and how to use Python's Black auto-formatting tool for cleaner code Common sources of bugs, and how to detect them with static analyzers How to structure the files in your code projects with the Cookiecutter template tool Functional programming techniques like lambda and higher-order functions How to profile the speed of your code with Python's built-in timeit and cProfile modules The computer science behind Big-O algorithm analysis How to make your comments and docstrings informative, and how often to write them How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher
A Primer On Scientific Programming With Python
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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2014-08-01
A Primer On Scientific Programming With Python written by Hans Petter Langtangen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Computers categories.
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012
Powerful Python
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Author : Aaron Maxwell
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-11-08
Powerful Python written by Aaron Maxwell and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-08 with categories.
Once you've mastered the basics of Python, how do you skill up to the top 1%? How do you focus your learning time on topics that yield the most benefit for production engineering and data teams—without getting distracted by info of little real-world use? This book answers these questions and more. Based on author Aaron Maxwell's software engineering career in Silicon Valley, this unique book focuses on the Python first principles that act to accelerate everything else: the 5% of programming knowledge that makes the remaining 95% fall like dominos. It's also this knowledge that helps you become an exceptional Python programmer, fast. Learn how to think like a Pythonista: explore advanced Pythonic thinking Create lists, dicts, and other data structures using a high-level, readable, and maintainable syntax Explore higher-order function abstractions that form the basis of Python libraries Examine Python's metaprogramming tool for priceless patterns of code reuse Master Python's error model and learn how to leverage it in your own code Learn the more potent and advanced tools of Python's object system Take a deep dive into Python's automated testing and TDD Learn how Python logging helps you troubleshoot and debug more quickly
Taming Python By Programming
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Author : Jeeva Jose
language : en
Publisher: KHANNA PUBLISHING HOUSE
Release Date :
Taming Python By Programming written by Jeeva Jose and has been published by KHANNA PUBLISHING HOUSE this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This is a great book for Python Beginner and Advanced Learner which covers Basics to Advanced Python Programming where each topic is explained with the help of Illustrations and Examples. More than 450 solved programs of this book are tested in Python 3.4.3 for windows. The range of Python Topics covered makes this book unique which can be used as a self study material or for instructor assisted teaching. This books covers Python Syllabus of all major national and international universities. Also it includes frequently asked questions for interviews and examination which are provided at the end of each chapter.
Vibe Coding Build Without Thinking
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Author : Swetlana AI
language : en
Publisher: Swetlana AI
Release Date : 2025-04-27
Vibe Coding Build Without Thinking written by Swetlana AI and has been published by Swetlana AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-27 with Computers categories.
You don't need to be a coder. You need to be a builder. In an era where AI can code, design, and brainstorm alongside you, the real superpower is no longer technical skill — it's vision, clarity, and action. "Vibe Coding: Build Without Thinking" is the hands-on manual for thinkers, dreamers, and creators who have ideas but felt locked out of building them. Whether you’ve wanted a "Duolingo for history" or a "Notion for creative projects," this book shows you how to finally create the tools and platforms you’ve always needed — using AI as your partner. This concise and straightforward book provides comprehensive yet simplified guidance on how to actually get things built—whether you're using Cursor, Replit, GitHub Copilot, or Windsurf. Inside, you’ll learn: How to generate powerful ideas worth building How to study competition intelligently with AI How to define your concept clearly (and stress-test it before wasting time) Why a one-page plan (PRD) will make or break your project How to build from the outside in: starting with UI, not backend complexity How to "vibe-code" by working with AI in small, shippable steps The tech stacks AI handles best — and how to pick yours Why Git is your safety net (and how to use it without being a tech wizard) How to write prompts that get better, faster results from AI How to escape the "broken chat loop" and solve errors smartly Why knowing just a little bit of code makes you 10x more powerful How to ship a tiny win today — and keep momentum alive Why even your smallest project deserves a README (for yourself and others) No fluff. No hype. Just the clearest map yet for turning your ideas into real, working products. If you've ever felt trapped between inspiration and action, this book will close the gap. Your ideas deserve to exist. You don’t have to wait anymore. It’s time to build. Discover the future of building with AI! Learn what vibe coding is, the vibe coding meaning, and why it's changing how we create. This pin covers vibe coding definition, the vibe coding concept, and the best vibe coding tools to start today. Wondering how vibe coding compares to traditional coding methods? Or curious about vibe coding AI and the vibe coding meme that made it famous? Inspired by thinkers like Andrej Karpathy, vibe coding makes programming faster, smarter, and more intuitive. Find out what vibe coding can do for you — and start creating with the best vibe coding tools available.
Python For Scientists
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Author : John M. Stewart
language : en
Publisher: Cambridge University Press
Release Date : 2017-07-20
Python For Scientists written by John M. Stewart and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-20 with Computers categories.
Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.