Python 2 6 Graphics Cookbook

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Python 2 6 Graphics Cookbook

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Author : Mike Ohlson de Fine
language : en
Publisher: Packt Publishing Ltd
Release Date : 2010-11-24

Python 2 6 Graphics Cookbook written by Mike Ohlson de Fine 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 2010-11-24 with Computers categories.

Annotation Python is a great object-oriented and interactive programming language that lets you develop graphics, both static and animated, using built-in vector graphics functions that are provided with Python. Python 2.6 Graphics Cookbook is a collection of straightforward recipes and illustrative screenshots for creating and animating graphic objects using the Python language. This book makes the process of developing graphics interesting and entertaining by working in a graphic workspace without the burden of mastering complicated language definitions and opaque examples. If you choose to work through all the recipes from the beginning, you will learn to install Python and create basic programs for making lines and shapes using the built-in Tkinter module. The confusing topic of color manipulation is explored in detail using existing Python tools as well as some new tools in the recipes. Next you will learn to manipulate font size, color, and placement of text as placing text exactly where you want on a screen can be tricky because font height, inter-character spacing, and text window dimensions all interfere with each other. Then you will learn how to animate graphics, for example having more than one independent graphic object co-exist and interact using various Python methods. You will also learn how you can work with raster images, such as converting their formats using the Python Imaging Library. Next you will learn how you can combine vector images with raster images so that you can animate the raster images with ease. You will also walk through a set of recipes with the help of which you can handle and manipulate blocks of raw data that may be hundreds of megabytes in size using datastreams, files, and hard drives. You will also learn how you can use Inkscape to dismantle existing images and use parts of them for your own graphics and Python programs. At the end of the book you will learn how you can create GUIs for different purposes. A quick reference for creating interesting graphic animations using Python programming.

Python Parallel Programming Cookbook

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Author : Giancarlo Zaccone
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-08-26

Python Parallel Programming Cookbook written by Giancarlo Zaccone 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 2015-08-26 with Computers categories.

Master efficient parallel programming to build powerful applications using Python About This Book Design and implement efficient parallel software Master new programming techniques to address and solve complex programming problems Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depth Who This Book Is For Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing. What You Will Learn Synchronize multiple threads and processes to manage parallel tasks Implement message passing communication between processes to build parallel applications Program your own GPU cards to address complex problems Manage computing entities to execute distributed computational tasks Write efficient programs by adopting the event-driven programming model Explore the cloud technology with DJango and Google App Engine Apply parallel programming techniques that can lead to performance improvements In Detail Parallel programming techniques are required for a developer to get the best use of all the computational resources available today and to build efficient software systems. From multi-core to GPU systems up to the distributed architectures, the high computation of programs throughout requires the use of programming tools and software libraries. Because of this, it is becoming increasingly important to know what the parallel programming techniques are. Python is commonly used as even non-experts can easily deal with its concepts. This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool. Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will also understand the StarCluster framework, Pycsp, Scoop, and Disco modules in Python. Further on, you will learn GPU programming with Python using the PyCUDA module along with evaluating performance limitations. Next you will get acquainted with the cloud computing concepts in Python, using Google App Engine (GAE), and building your first application with GAE. Lastly, you will learn about grid computing concepts in Python and using PyGlobus toolkit, GFTP and GASS COPY to transfer files, and service monitoring in PyGlobus. Style and approach A step-by-step guide to parallel programming using Python, with recipes accompanied by one or more programming examples. It is a practically oriented book and has all the necessary underlying parallel computing concepts.

R Graphics Cookbook

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Author : Winston Chang
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013

R Graphics Cookbook written by Winston Chang 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 2013 with Computers categories.

"Practical recipes for visualizing data"--Cover.

Vulkan 3d Graphics Rendering Cookbook

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Author : Sergey Kosarevsky
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-14

Vulkan 3d Graphics Rendering Cookbook written by Sergey Kosarevsky 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 2025-02-14 with Computers categories.

Master Vulkan 1.3 with practical recipes for building, rendering, and optimizing stunning 3D graphics, guided by AR and rendering experts Sergey Kosarevsky and Alexey Medvedev Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Learn to harness Vulkan 1.3 for building high-performance applications Integrate cutting-edge rendering techniques into a real-time 3D engine Use bindless Vulkan to render complex 3D scenes efficiently Book DescriptionWritten by experts with decades of rendering experience, this cookbook equips you with practical, hands-on recipes to master modern 3D graphics development by using bindless Vulkan. Focusing on Vulkan 1.3, this second edition starts by setting up your development environment, and quickly transitions to building a robust 3D rendering framework using self-contained recipes. Each recipe helps you incrementally enhance your codebase, integrating a variety of 3D rendering techniques and algorithms into a cohesive project. You’ll get to grips with core techniques, such as glTF 2.0 physically based rendering, image-based lighting, and GPU-driven rendering. The chapters help you grasp advanced topics, including glTF animations, screen-space rendering techniques, and optimization strategies. You’ll also learn how to use glTF 2.0 advanced PBR extensions and handle complex geometry data, ensuring your rendering engine is both powerful and performant. These new additions will enable you to create dynamic and realistic 3D graphics environments, fully utilizing Vulkan’s capabilities. By the end of this 3D rendering book, you’ll have gained an improved understanding of best practices used in modern graphic APIs and be able to create fast and versatile 3D rendering frameworks.What you will learn Master the core features of Vulkan 1.3, with a focus on bindless rendering Learn effective techniques for debugging and profiling Vulkan applications Build a glTF 2.0 physically based rendering pipeline from scratch Enhance visual quality with advanced glTF 2.0 PBR extensions Integrate multiple rendering techniques and optimizations into a single application Manage large-scale content efficiently in real-time 3D rendering engines Leverage Vulkan compute pipelines for advanced image and geometry processing Who this book is for This book is for 3D graphics developers who want to build high-performance rendering engines with the latest Vulkan features and modern rendering methods. Whether you’re an experienced developer with a solid grasp of 3D rendering math or someone proficient in C++ and basic linear algebra, this book offers valuable insights to deepen your expertise. If you’ve dabbled in creating custom 3D applications without relying on premade rendering engines, you’ll find this guide particularly useful.

Python Recipes For Earth Sciences

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Author : Martin H. Trauth
language : en
Publisher: Springer Nature
Release Date : 2022-09-28

Python Recipes For Earth Sciences written by Martin H. Trauth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-28 with Science categories.

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.

Python Automation Cookbook

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Author : Jaime Buelta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-09-27

Python Automation Cookbook written by Jaime Buelta 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 2018-09-27 with Computers categories.

Step-by-step instructions which take you through each program to automate monotonous tasks with Python 3.7 Key FeaturesAutomate integral business processes such as report generation, email marketing, and lead generationBuild your first web application that scrapes data and accesses websites' APIsCreate graphic-rich charts, graphs, and maps using MatplotlibBook Description Have you been doing the same old monotonous office work over and over again? Or have you been trying to find an easy way to make your life better by automating some of your repetitive tasks? Through a tried and tested approach, understand how to automate all the boring stuff using Python. The Python Automation Cookbook helps you develop a clear understanding of how to automate your business processes using Python, including detecting opportunities by scraping the web, analyzing information to generate automatic spreadsheets reports with graphs, and communicating with automatically generated emails. You’ll learn how to get notifications via text messages and run tasks while your mind is focused on other important activities, followed by understanding how to scan documents such as résumés. Once you’ve gotten familiar with the fundamentals, you’ll be introduced to the world of graphs, along with studying how to produce organized charts using Matplotlib. In addition to this, you’ll gain in-depth knowledge of how to generate rich graphics showing relevant information. By the end of this book, you’ll have refined your skills by attaining a sound understanding of how to identify and correct problems to produce superior and reliable systems. What you will learnGet to grips with scraping a website to detect changesSearch and process raw sales files to aggregate information in spreadsheetsExplore techniques to extract information from an Excel spreadsheet and generate exciting reports with graphsDiscover the techniques required to generate random, print-friendly codes to be used as single-use couponsAutomatically generate a marketing campaign, contacting the recipients over different channelsIdentify and implement precise solutionsWho this book is for The Python Automation Cookbook is for you if you are a developer or anyone who wants to automate monotonous manual tasks related to fields such as finance, sales, and HR, among others.

Raspberry Pi Cookbook For Python Programmers

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Author : Tim Cox
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-04-16

Raspberry Pi Cookbook For Python Programmers written by Tim Cox 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 2014-04-16 with Computers categories.

Raspberry Pi Cookbook for Python Programmers is written in a Cookbook format, presenting examples in the style of recipes.This allows you to go directly to your topic of interest, or follow topics throughout a chapter to gain a thorough in-depth knowledge. The aim of this book is to bring you a broad range of Python 3 examples and practical ideas which you can develop to suit your own requirements. By modifying and combining the examples to create your own projects you learn far more effectively with a much greater understanding. Each chapter is designed to become a foundation for further experimentation and discovery of the topic, providing you with the tools and information to jump right in. Readers are expected to be familiar with programming concepts and Python (where possible Python 3 is used), although beginners should manage with the help of a good Python reference book and background reading. No prior knowledge of the Raspberry Pi or electronics is required; however for the hardware sections you will need some basic electronic components/household tools to build some of the projects.

Python Data Cleaning Cookbook

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Author : Michael Walker
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-31

Python Data Cleaning Cookbook written by Michael Walker 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 the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips. Key Features Get to grips with new techniques for data preprocessing and cleaning for machine learning and NLP models Use new and updated AI tools and techniques for data cleaning tasks Clean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AI Book DescriptionJumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and handling data with Python for better outcomes. Fully updated to the latest version of Python and all relevant tools, this book will teach you how to manipulate and clean data to get it into a useful form. he current edition focuses on advanced techniques like machine learning and AI-specific approaches and tools for data cleaning along with the conventional ones. The book also delves into tips and techniques to process and clean data for ML, AI, and NLP models. You will learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Next, you’ll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate visualizations for exploratory data analysis (EDA) to identify unexpected values. Finally, you’ll build functions and classes that you can reuse without modification when you have new data. By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems within it.What you will learn Using OpenAI tools for various data cleaning tasks Producing summaries of the attributes of datasets, columns, and rows Anticipating data-cleaning issues when importing tabular data into pandas Applying validation techniques for imported tabular data Improving your productivity in pandas by using method chaining Recognizing and resolving common issues like dates and IDs Setting up indexes to streamline data issue identification Using data cleaning to prepare your data for ML and AI models Who this book is for This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data with practical examples. Working knowledge of Python programming is all you need to get the most out of the book.

Python Gui Programming Cookbook

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Author : Burkhard A. Meier
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-05-29

Python Gui Programming Cookbook written by Burkhard A. 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 2017-05-29 with Computers categories.

Master over 80 object-oriented recipes to create amazing GUIs in Python and revolutionize your applications today About This Book Use object-oriented programming to develop amazing GUIs in Python Create a working GUI project as a central resource for developing your Python GUIs Easy-to-follow recipes to help you develop code using the latest released version of Python Who This Book Is For This book is for intermediate Python programmers who wish to enhance their Python skills by writing powerful GUIs in Python. As Python is such a great and easy to learn language, this book is also ideal for any developer with experience of other languages and enthusiasm to expand their horizon. What You Will Learn Create the GUI Form and add widgets Arrange the widgets using layout managers Use object-oriented programming to create GUIs Create Matplotlib charts Use threads and talking to networks Talk to a MySQL database via the GUI Perform unit-testing and internationalizing the GUI Extend the GUI with third-party graphical libraries Get to know the best practices to create GUIs In Detail Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary. This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. As our GUIs keep expanding, using more and more widgets, we start to talk to networks, databases, and graphical libraries that greatly enhance our GUI's functionality. This book is what you need to expand your knowledge on the subject of GUIs, and make sure you're not missing out in the long run. Style and approach This programming cookbook consists of standalone recipes, and this approach makes it unique.. While each recipe explains a certain concept, throughout the book you'll build a more and more advanced GUI, recipe after recipe. In some of the advanced topics, we simply create a new GUI in order to explore these topics in depth.

Raspberry Pi 3 Cookbook For Python Programmers

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Author : Dr. Steven Lawrence Fernandes
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-30

Raspberry Pi 3 Cookbook For Python Programmers written by Dr. Steven Lawrence Fernandes 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 2018-04-30 with Computers categories.

A recipe-based guide to programming your Raspberry Pi 3 using Python Key Features Leverage the power of Raspberry Pi 3 using Python programming Create 3D games, build neural network modules, and interface with your own circuits Packed with clear, step-by-step recipes to walk you through the capabilities of Raspberry Pi Book Description Raspberry Pi 3 Cookbook for Python Programmers – Third Edition begins by guiding you through setting up Raspberry Pi 3, performing tasks using Python 3.6, and introducing the first steps to interface with electronics. As you work through each chapter, you will build your skills and apply them as you progress. You will learn how to build text classifiers, predict sentiments in words, develop applications using the popular Tkinter library, and create games by controlling graphics on your screen. You will harness the power of a built in graphics processor using Pi3D to generate your own high-quality 3D graphics and environments. You will understand how to connect Raspberry Pi’s hardware pins directly to control electronics, from switching on LEDs and responding to push buttons to driving motors and servos. Get to grips with monitoring sensors to gather real-life data, using it to control other devices, and viewing the results over the internet. You will apply what you have learned by creating your own Pi-Rover or Pi-Hexipod robots. You will also learn about sentiment analysis, face recognition techniques, and building neural network modules for optical character recognition. Finally, you will learn to build movie recommendations system on Raspberry Pi 3. What you will learn Learn to set up and run Raspberry Pi 3 Build text classifiers and perform automation using Python Predict sentiments in words and create games and graphics Detect edges and contours in images Build human face detection and recognition system Use Python to drive hardware Sense and display real-world data Build a neural network module for optical character recognition Build movie recommendations system Who this book is for This book is for anyone who wants to master the skills of Python programming using Raspberry Pi 3. Prior knowledge of Python will be an added advantage.