web scraping with python ryan mitchell
Web Scraping with Python - Ryan Mitchell
This thoroughly updated third edition not only introduces you to web scraping but also serves as a comprehensive guide to scraping almost every type of data from the modern web.
Objev podobné jako Web Scraping with Python - Ryan Mitchell
Unlocking Python - Ryan Mitchell
A fun and practical guide to learning Python with a special focus on data science, web scraping, and web applications In Unlocking Python: A Comprehensive Guide for Beginners, veteran software engineer, educator, and author Ryan Mitchell delivers an intuitive, engaging, and practical roadmap to Python programming. The author walks you through the vocabulary, tools, foundational knowledge, and occasional pop-culture references you ll need to hone your skills with this popular programming language. You ll learn how to install and run Python on your own machine, get up and coding with the language quickly, and best practices for programming both independently and in the workplace. You ll also find: Key concepts in computer and data science explained from the ground upAdvanced Python topics such as logging, unit testing, multiprocessing, and interacting with databases. Introductions to some of Python s most popular third-party libraries: Flask, Django, Scrapy, Scikit-Learn, Numpy, and PandasAmusing anecdotes from the trenches of industry Perfect for tech-savvy professionals at any stage of their careers who are interested in diving into Python programming. Unlocking Python is also a must-read for readers who work in a technical role but are interested in getting more directly involved with programming, as well as non-Python programmers who want to apply their technical skill to a new language.
Objev podobné jako Unlocking Python - Ryan Mitchell
Deep Learning with Python - François Chollet
The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better. - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher François Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You ll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable. about the technologyMachine learning has made remarkable progress in recent years. We ve gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn t beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning⠔a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector about the bookDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You ll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you ll have the knowledge and hands-on skills to apply deep learning in your own projects. what s insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.
Objev podobné jako Deep Learning with Python - François Chollet
Beginning Programming with Python For Dummies - John Paul Mueller
Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and thereâ ™s no better way to get started in computer programming than this friendly guide. Youâ ™ll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to todayâ ™s beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers startedâ ”the easy way.Â
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Statistical Analysis with Python For Dummies - Joseph Schmuller
Wrangle stats as you learn how to graph, analyze, and interpret data with Python Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions. Even if you re new to coding, this book unlocks the magic of Python and shows you how to apply it to statistical analysis tasks. You ll learn to set up a coding environment and use Python s libraries and functions to mine data for correlations and test hypotheses. You ll also get a crash course in the concepts of probability, including graphing and explaining your results. Part coding book, part stats class, part business analyst guide, this book is ideal for anyone tasked with squeezing insight from data. Get clear explanations of the basics of statistics and data analysisLearn how to summarize and analyze data with Python, step by stepImprove business decisions with objective evidence and analysisExplore hypothesis testing, regression analysis, and prediction techniques This is the perfect introduction to Python for students, professionals, and the stat-curious.
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Automate the Boring Stuff with Python, 3rd Edition - Al Sweigart
If you ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised edition of the best-selling classic Automate the Boring Stuff with Python, you ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You ll learn the basics of coding in Python and explore the language s rich library of modules for performing specific tasks, like scraping data from websites, searching for text across multiple files, and merging, watermarking, or encrypting PDFs. The third edition includes: Expanded coverage of developer techniques, like creating command line programs; Updated examples and new projects; Additional chapters about working with SQLite databases, speech-recognition technology, video and audio editing, and text-to-speech capabilities; Simplified explanations (based on reader feedback) of beginner programming concepts, like loops and conditionals. Even if you ve never written a line of code, Automate the Boring Stuff with Python, 3rd Edition will teach you how to make your computer take on tedious tasks and do all your grunt work - the way it should be!
Objev podobné jako Automate the Boring Stuff with Python, 3rd Edition - Al Sweigart
Artificial Intelligence Programming with Python - Perry Xiao
A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learningExpansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learningPractical AI and Python â œcheat sheetâ quick referencesThis hands-on AI programming guide is perfect for anyone with a basic knowledge of programmingâ ”including familiarity with variables, arrays, loops, if-else statements, and file input and outputâ ”who seeks to understand foundational concepts in AI and AI development.
Objev podobné jako Artificial Intelligence Programming with Python - Perry Xiao
Automate the Boring Stuff with Python Workbook - Al Sweigart
Al Sweigart s classic coding book Automate the Boring Stuff with Python, now in its third edition, has taught more than half a million readers how to dispense with tedious tasks using the Python programming language. In this hands-on companion workbook, Sweigart gives those readers - and any Python programming beginner - hundreds of new ways to practice what they ve learned. Through a wide variety of exercises, readers will test their understanding of programming concepts, face down tricky challenges, and explore use cases of common techniques. The workbook s creative projects encourage readers to build games, animations, and digital tools, offering novel ways to think about Python s applications in their everyday life. Covers Python 3.x and its ecosystem of third-party libraries.
Objev podobné jako Automate the Boring Stuff with Python Workbook - Al Sweigart
Coding with Python - Create Amazing Graphics - Max Wainewright
Coding with Python â “ Create Amazing Graphics introduces coding in Python through a variety of projects. Each one teaches new coding concepts and results in some amazing graphics.Python is a powerful, text-based programming language essential to grasp for serious coding but can be dull to learn. This book focuses on inspired learning. Step-by-step, it illustrates how to use Python code to create exciting and colourful graphics â ” making learning Python great fun!Learn Python code to:Use random numbers to create unique artworkMix colours together using variables to create amazing effectsUse loops to repeat your code and create intricate patternsCode your own functions and build up your own designs
Objev podobné jako Coding with Python - Create Amazing Graphics - Max Wainewright
Make Games with Python - Sean M Tracey
Learning to code your own shoot- em-up is infinitely more satisfying than beating any end-of-level bossWhile countless millions of us like nothing more than spending hours racking up high scores on our favourite games, too few of us are exposed to an even more gratifying way to spend the evening - making them. It s far from easy. Master essential game-making skills:Creating shapes and pathsMovement and animationUsing the keyboard and mouseAdding sound and musicSimulating physics and forcesBuilding classes for actorsCreating your own shoot-em upEach chapter will add to your knowledge of Python game development, allowing you both to understand the games you play, and to create almost anything your imagination can come up with.This book is designed to help you learn many of the essential skills you ll need to make games with Python and Pygame, and you ll learn valuable coding skills along the way.This book isn t for absolute programming beginners, but it s not far from it. If you ve written some simple Python (or similar) programs in the past, and are able to do things like creating files and get around your computer s filesystem without too much difficulty, then you re ready to get started.
Objev podobné jako Make Games with Python - Sean M Tracey
Cambridge IGCSEâ„¢ and O Level Computer Science Programming Book for Python with Digital Access (2 Years) - Chris Roffey
This series supports learners through the Cambridge IGCSE™ and O Level Computer Science syllabuses (0478/0984/2210). Develop skills and confidence with our programming book for Python. Created to support students undertaking the Cambridge IGCSE™ and O Level Computer Science syllabuses, this resource provides tailored support when programming with Python. A three-tiered approach to programming tasks across the book provides scaffolded support for students of all levels of understanding. Answers are accessible in the Solutions chapter in the digital part of the resource on the Cambridge GO platform, enabling students to practise their programming skills in class or at home.
Objev podobné jako Cambridge IGCSEâ„¢ and O Level Computer Science Programming Book for Python with Digital Access (2 Years) - Chris Roffey
Joan Mitchell: I carry my landscapes around with me - Joan Mitchell, Suzanne Hudson, Robert Slifkin
I carry my landscapes around with me focuses on American abstract artist Joan Mitchell’s large-scale multipanel works from the 1960s through the 1990s. Mitchell’s exploration of the possibilities afforded by combining two to five large canvases allowed her to simultaneously create continuity and rupture, while opening up a panoramic expanse referencing landscapes or the memory of landscapes. Mitchell established a singular approach to abstraction over the course of her career. Her inventive reinterpretation of the traditional figure-ground relationship and synesthetic use of color set her apart from her peers, resulting in intuitively constructed and emotionally charged compositions that alternately evoke individuals, observations, places, and points in time. Art critic John Yau lauded her paintings as “one of the towering achievements of the postwar period.” Published on the occasion of the eponymous exhibition at David Zwirner New York in 2019, this book offers a unique opportunity to explore the range of scale and formal experimentation of this innovative area of Mitchell’s extensive body of work. It not only features reproductions of each painting in this selection as a whole, but also numerous details that allow an intimate understanding of the surface texture and brushwork. In the complementing essays, Suzanne Hudson examines boundaries, borders, and edges in Mitchell’s multipanel paintings, beginning with her first work of this kind, The Bridge (1956), considering them as both physical and conceptual objects; Robert Slifkin discusses the dynamics of repetition and energy in the artist’s paintings, in relation to works by Monet and Willem de Kooning, among others.
Objev podobné jako Joan Mitchell: I carry my landscapes around with me - Joan Mitchell, Suzanne Hudson, Robert Slifkin
Python Workout - Reuven Lerner
Python Workout presents 50 exercises designed to deepen the readerâ ™s skill with Python. Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks. Key Features 50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions Intended for readers with basic Python skills. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity. Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, â œAt the Forge,â for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modiâ ™in, Israel, and can be reached at https://lerner.co.il/ or on Twitter at @reuvenmlerner.
Objev podobné jako Python Workout - Reuven Lerner
Python in Excel Step-by-Step - David Langer
An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data. A hands-on guide to the foundational Python in Excel skills youâ ™ll need to understand and use this powerful analytics tool, Python in Excel Step-by-Step is for current Excel users interested in expanding their data analysis skillset with Python. Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, tounlock new analytics capabilities in Excel, and build your foundation for the future of Excel: do-it-yourself (DIY) data science. The book leverages your existing Excel knowledge to learn the Python foundation you can apply right away. This is the same approach David has used to successfully teach more than 1,000 professionals Python â “ even if youâ ™ve never written code before. David also includes: Targeted coverage of the Python fundamentals required for analytics â “ learn just what you need fastHow to use the powerful pandas and plotnine libraries to facilitate data manipulation and visualization using Python in ExcelA DIY data science roadmap for you to build the skills you need to unleash the power of your data to have more impact at work Perfect for professionals use Microsoft Excel for data analysis, like marketing managers, financial analysts, and supply chain manager, Python in Excel Step-by-Step is an invaluable new resource for all business professionals who use Excel and want to build skills for Excelâ ™s AI-powered future.
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Learn Python the Hard Way - Zed Shaw
You Will Learn Python! Zed Shaw has created the world s most reliable system for learning Python. Follow it and you will succeed--just like the millions of beginners Zed has taught to date! You bring the discipline, persistence, and attention; the author supplies the masterful knowledge you need to succeed. In Learn Python the Hard Way, Fifth Edition, you ll learn Python by working through 60 lovingly crafted exercises. Read them. Type in the code. Run it. Fix your mistakes. Repeat. As you do, you ll learn how a computer works, how to solve problems, and how to enjoy programming . . . even when it s driving you crazy. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Strings and text Interact with users Work with files Looping and logic Object-oriented programming Data structures using lists and dictionaries Modules, classes, and objects Python packaging Automated testing Basic SQL for Data Science Web scraping Fixing bad data (munging) The Data part of Data Science It ll be frustrating at first. But if you keep trying, you ll get it--and it ll feel amazing! 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 Aspiring Data Scientists or academics who need to learn to code Seasoned professionals looking for a fast, simple crash course in Python for Data Science Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
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Python in easy steps - Mike McGrath
Python in easy steps, 3rd edition teaches you to program in the powerful Python programming language â “ the worldâ ™s favorite coding language. It gives complete examples that illustrate each aspect with colorized source code. Python in easy steps, 3rd edition begins by explaining how to install the free Python interpreter so that you can quickly begin to create your own executable programs by copying the book s examples. It demonstrates all the Python language basics before moving on to provide examples of Object-Oriented Programming (OOP). A new chapter for this edition then demonstrates how to process web form data with the Flask web framework for Python. The book concludes by demonstrating how you can use your acquired knowledge to create and deploy graphical windowed applications. Python in easy steps, 3rd edition has an easy-to-follow style, and makes no assumption you have previous knowledge of any programming language, so it s ideal for: The newcomer to computer programming. Programmers moving from another programming language. Students studying Python programming at school or college. Those seeking a career in computing who need a fundamental understanding of computer programming.
Objev podobné jako Python in easy steps - Mike McGrath
Python Automation For Dummies - Alan Simpson
Streamline Your Workflow and Boost Productivity with Python Automation In today s workplaces, there s a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You ll even learn to enhance your Python automations with AI, for workflows that are faster and smarter. Review the basics of Python coding and follow steps for automating all sorts of tasksManage large file sets, organize and analyze data, and speed up research processesAutomate scheduling and other time-consuming tasksâ ”and optimize work with AIFree up time and resources by automating routine work, so you can foucs on more important issues This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient.
Objev podobné jako Python Automation For Dummies - Alan Simpson
Foundational Python for Data Science - Kennedy Behrman
Data science and machine learningâ ”two of the world s hottest fieldsâ ”are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and moreâ ”all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.
Objev podobné jako Foundational Python for Data Science - Kennedy Behrman
Python Crash Course: 3rd Edition (9781718502703)
Kniha - autor Eric Matthes, 544 stran, anglicky, brožovaná bez přebalu matná Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date! Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time. You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online. As you work through the book, you’ll learn how to: Use powerful Python...
Objev podobné jako Python Crash Course: 3rd Edition (9781718502703)
Introduction to Machine Learning with Python - Andreas C. Mueller
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Objev podobné jako Introduction to Machine Learning with Python - Andreas C. Mueller
Test-Driven Development with Python - Harry Percival
This trusted guide demonstrates the practical advantages of test-driven development (TDD) with Python and describes how to develop a real web application. You ll learn how to write and run tests before building each part of your app and then develop the minimum amount of code required to pass those tests. The result? Clean code that works.
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Learning Python - Fabrizio Romano
Learn to code like a professional with Python â “ an open source, versatile, and powerful programming languageKey FeaturesLearn the fundamentals of programming with Python â “ one of the best languages ever createdDevelop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Pythonâ ™s portabilityCreate outstanding applications of all kind, from websites to scripting, and from GUIs to data scienceBook DescriptionLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. What you will learnGet Python up and running on Windows, Mac, and Linux in no timeGrasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situationUnderstand when to use the functional or the object oriented programming approachCreate bulletproof, reliable software by writing tests to support your codeExplore examples of GUIs, scripting, data science and web applicationsLearn to be independent, capable of fetching any resource you need, as well as dig deeperWho this book is forPython is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with.
Objev podobné jako Learning Python - Fabrizio Romano
Gone with the Wind - Mitchell Margaret
Young Scarlett O Hara, the spoiled daughter of a prosperous plantation owner, faces hardships in Margaret Mitchell s book Gone with the Wind. During the American Civil War (1861-1865) and the Reconstruction Era (1865-1877), Gone with the Wind was written. Scarlett O Hara, the primary character, is characterized as brilliant, witty, and willful yet uninterested in going to school.After being humiliated at Twelve Oaks, Scarlett is ashamed to finally run into Rhett Butler. Melanie, who is now her sister-in-law, steps in to salvage her reputation. Scarlett is devastated when Melanie becomes pregnant with Ashley s child.Atlanta is under siege in 1864 on three fronts. The Union Army takes it over from the Confederate States Army. Scarlett s father has gone insane from grief, her mother is dead, her sisters are ill with typhoid fever, and there is no food in the home.Suellen, Scarlett s sister, will abandon Tara after she gets married. Scarlett is offered money by Rhett Butler to assist her in paying off debts. She marries Frank Kennedy and takes over his business, which infuriates many Atlantans.Later, Rhett proposes to Scarlett at Frank s funeral. She first declines, but later she agrees. Scarlett starts to realize that she no longer loves Rhett after Bonnie s death.
Objev podobné jako Gone with the Wind - Mitchell Margaret
Gone with the Wind - Mitchell Margaret
The pampered daughter of a wealthy Georgian plantation owner of Irish descent, sixteen-year-old Scarlett O Hara soon realizes that young men can t resist her charms, despite her forthright manners and her refusal to embrace her mother s ladylike ways. Her romantic intrigues lead her to an early marriage, but when the war between the Union and the Southern States breaks out and she is left a young widow, Scarlett s life is turned upside down, and she finds herself embroiled, together with the world surrounding her, in a long struggle for survival. Both a coming-of-age tale and a historical epic, Gone with the Wind is regarded as one of the great American novels, and is perhaps one of the most popular stories in the Western canon. Famously inspiring the iconic 1939 Oscar-winning film starring Vivien Leigh and Clark Gable, it is Margaret Mitchell s only published novel, and a living testament to the irrepressible resilience of the American spirit.
Objev podobné jako Gone with the Wind - Mitchell Margaret
Gone with the Wind - Mitchell Margaret
My dear, I don t give a damn. Margaret Mitchellâ ™s page-turning, sweeping American epic has been a classic for over eighty years. Beloved and thought by many to be the greatest of the American novels, Gone with the Wind is a story of love, hope and loss set against the tense historical background of the American Civil War. The lovers at the novelâ ™s centre â “ the selfish, privileged Scarlett Oâ ™Hara and rakish Rhett Butler â “ are magnetic: pulling readers into the tangled narrative of a struggle to survive that cannot be forgotten.WINNER OF NATIONAL BOOK AWARD AND PULITZER PRIZE For sheer readability I can think of nothing it must give way before The New Yorker What makes some people come through catastrophes and others, apparently just as able, strong, and brave, go under?â ™ Margaret Mitchell
Objev podobné jako Gone with the Wind - Mitchell Margaret
Learning Python - Mark Lutz
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz s popular training course, this updated sixth edition will help you quickly write efficient, high-quality code with Python.
Objev podobné jako Learning Python - Mark Lutz
Web Development with Node and Express - Ethan Brown
Build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this updated edition, author Ethan Brown teaches you Express fundamentals by walking you through the development of an example application.
Objev podobné jako Web Development with Node and Express - Ethan Brown
Mitchell Itches - Kristin Kelly
An uplifting story about a boy who doesnâ ™t let his eczema hold him back from having fun and facing his fears. Meet Mitchell, a boy who is part of the one in five children living with eczema.In Mitchell Itches, we learn about his experiences with this condition, including the common triggers and stresses of managing it, while also understanding his resilience, the support he gets from his friends and family, and the self-care he practices to manage his symptoms.As part of his journey, Mitchell discovers a unique talent. His Uncle Sean introduces him to the guitar to keep his itchy hands occupied. Mitchell s condition, surprisingly, leads him to a new passion that could make him a sensation. Will his newfound talent take centre stage at the school band auditions?This engaging story helps children to empathize with others and understand the realities of living with a skin condition, showing that challenges can also lead to discovering our strengths.
Objev podobné jako Mitchell Itches - Kristin Kelly
Pro PowerShell for Amazon Web Services - Brian Beach, Steven Armentrout, Rodney Bozo, Emmanuel Tsouris
Amazon Web Services (AWS) is the leading public cloud platform. In this book you will learn to use Microsoft PowerShell to create, host, manage, and administer workloads using Amazon Web Services. You will learn how to create virtual machines, provision storage, configure networks, and more-all using your preferred Windows scripting language.CIOs everywhere are leading their organizations to the cloud, but there are few books available to help. This book focuses on moving Microsoft Windows workloads to the cloud using technologies familiar to enterprise Microsoft-based professionals.The completely revised and expanded Pro PowerShell for Amazon Web Services is written specifically for Windows professionals who already know PowerShell and want to learn to host Windows workloads on Amazon Web Services. The cloud offers information technology workers significant cost savings and agility unimaginable even just a few years ago. Tasks that traditionally took weeks of work, costing thousands of dollars, can be completed in minutes for a fraction of a penny.New chapters in this second edition cover: AWS Lambda, Amazon WorkSpaces, Amazon AppStream 2.0, AWS Directory Service, Amazon WorkDocs, and AWS System Manager.What You ll LearnCreate and manage Windows servers on Elastic Compute Cloud (EC2)Configure and secure networks with Virtual Private Cloud (VPC)Leverage autoscaling to adjust resources as load changesDeploy and manage SQL Server using the Relational Database Service (RDS)Manage virtual desktops using WorkSpaces and AppStreamLeverage AWS Systems Manager to manage Windows at scaleWho This Book Is ForWindows professionals who want to learn more about Amazon Web Services, with a focus on running Windows workloads and automated management at scale using PowerShell tools for AWS. The book assumes you have knowledge of Windows and PowerShell, but are new to AWS.
Objev podobné jako Pro PowerShell for Amazon Web Services - Brian Beach, Steven Armentrout, Rodney Bozo, Emmanuel Tsouris
Building Web Apps with Bolt - Addy Osmani
Whether you re new to full stack development or looking to supercharge your workflow, this accessible guide takes you from JavaScript and React fundamentals all the way to deploying sophisticated apps with Bolt.new and StackBlitz.
Objev podobné jako Building Web Apps with Bolt - Addy Osmani
Deep Learning with PyTorch - Eli Stevens, Luca Antiga
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you ll discover just how effective and fun PyTorch can be. Key features â ¢ Using the PyTorch tensor API â ¢ Understanding automatic differentiation in PyTorch â ¢ Training deep neural networks â ¢ Monitoring training and visualizing results â ¢ Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
Objev podobné jako Deep Learning with PyTorch - Eli Stevens, Luca Antiga
Data Storytelling with Generative AI - Angelica Duca
Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.After you ve crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python s Altair library and generative AI tools like Copilot and ChatGPT, it s never been easier to create intuitive data presentations.In Data Storytelling with Generative AI you ll discover: Using Python Altair for data visualization Using Generative AI tools for data storytelling The main concepts of data storytelling Building data stories with the DIKW pyramid approach Transforming raw data into a data story Data Storytelling with Generative AI teaches you how to turn raw data into effective, insightful data stories. You ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentationsâ ”and you ll love how quick Generative AI makes the whole process!
Objev podobné jako Data Storytelling with Generative AI - Angelica Duca
More! 2 2nd Edition Workbook with Cyber Homework and Online Resources - Herbert Puchta
A code in the Student s Book gives students access to both Cyber Homework and other web resources. With Cyber Homework students can practise reading and listening comprehension as well as grammar and vocabulary. They can receive immediate feedback from their teacher or, in levels 3 and 4, upload their culture projects for other students to vote. Thanks to automated marking, Cyber Homework makes it easy for teachers to monitor their students homework. It is also a safe communication environment. Visit cambridge.org/elt/more for more information. Additional web resources deliver fun interactive quizzes and module tests for students to check their progress.
Objev podobné jako More! 2 2nd Edition Workbook with Cyber Homework and Online Resources - Herbert Puchta
More! 1 2nd Edition Workbook with Cyber Homework and Online Resources - Herbert Puchta
A code in the Student s Book gives students access to both Cyber Homework and other web resources. With Cyber Homework students can practise reading and listening comprehension as well as grammar and vocabulary. They can receive immediate feedback from their teacher or, in levels 3 and 4, upload their culture projects for other students to vote. Thanks to automated marking, Cyber Homework makes it easy for teachers to monitor their students homework. It is also a safe communication environment. Visit cambridge.org/elt/more for more information. Additional web resources deliver fun interactive quizzes and module tests for students to check their progress.
Objev podobné jako More! 1 2nd Edition Workbook with Cyber Homework and Online Resources - Herbert Puchta
Python Programming Guide for GCSE Computer Science with Online Edition, Python Files
This brilliant CGP book is the perfect no-nonsense guide for anyone who wants to learn Python. It contains clear notes on all the key programming skills - ideal for Python beginners, GCSE Computer Science students, and as an introduction to Python at A-Level. There are plenty of useful practice questions, fully-worked examples and coding challenges throughout, with full answers included at the back of the book. We ve even added over 250 downloadable files covering different areas of Python - they re just the ticket for anyone looking for practical, on-screen practice. If that wasn t enough, there are video solutions to walk you through some of the coding challenges and we ve also included a free Online Edition of the entire book - just use the unique code printed inside the cover to gain access. Don t miss our matching Python Programming Cards (9781837741380) to become a real Python pro!
Objev podobné jako Python Programming Guide for GCSE Computer Science with Online Edition, Python Files
Effective Python - Brett Slatkin
Master the art of Python programming with 125 actionable best practices to write more efficient, readable, and maintainable code. Â Python is a versatile and powerful language, but leveraging its full potential requires more than just knowing the syntax. Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is your comprehensive guide to mastering Python s unique strengths and avoiding its hidden pitfalls. This updated edition builds on the acclaimed second edition, expanding from 90 to 125 best practices that are essential for writing high-quality Python code. Â Drawing on years of experience at Google, Brett Slatkin offers clear, concise, and practical advice for both new and experienced Python developers. Each item in the book provides insight into the Pythonic way of programming, helping you understand how to write code that is not only effective but also elegant and maintainable. Whether you re building web applications, analyzing data, writing automation scripts, or training AI models, this book will equip you with the skills to make a significant impact using Python. Â Key Features of the 3rd Edition: Expanded Content: Now with 125 actionable guidelines, including 35 entirely new items. Updated Best Practices: Reflects the latest features in Python releases up to version 3.13. New Chapters: Additional chapters on how to build robust programs that achieve high performance. Advanced Topics: In-depth coverage of creating C-extension modules and interfacing with native shared libraries. Practical Examples: Realistic code examples that illustrate each best practice.
Objev podobné jako Effective Python - Brett Slatkin
Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter
See how an AI assistant can bring your ideas to life immediately! Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy wayâ ”with the help of AI. It s perfect for beginners, or anyone who s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming, Second Edition you ll learn how to: Write fun and useful Python applicationsâ ”no programming experience required! Use the GitHub Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job AI moves fast, and so the new edition of Learn AI-Assisted Python Programming, Second Edition is fully updated to take advantage of the latest models and AI coding tools. Written by two esteemed computer science university professors, it teaches you everything you need to start programming Python in an AI-first world. You ll learn skills you can use to create working apps for data analysis, automating tedious tasks, and even video games. Plus, in this new edition, you ll find groundbreaking techniques for breaking down big software projects into smaller tasks AI can easily achieve. About the technology: The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly.
Objev podobné jako Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter
Python All-in-One For Dummies - Alan Simpson, John C. Shovic
Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Pythonâ ”even if youâ ™re new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate your career path with this comprehensive guide to learning PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.
Objev podobné jako Python All-in-One For Dummies - Alan Simpson, John C. Shovic
Python for Data Analysis 3e - Wes McKinney
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You ll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples
Objev podobné jako Python for Data Analysis 3e - Wes McKinney
Black Hat Python, 2nd Edition - Justin Seitz, Tim Arnold
When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. But just how does the magic happen? In Black Hat Python, the latest from Justin Seitz (author of the best-selling Gray Hat Python), you ll explore the darker side of Python s capabilities writing network sniffers, manipulating packets, infecting virtual machines, creating stealthy trojans, and more. You ll learn how to: Create a trojan command-and-control using GitHub Detect sandboxing and automate comèmon malware tasks, like keylogging and screenshotting Escalate Windows privileges with creative process control Use offensive memory forensics tricks to retrieve password hashes and inject shellcode into a virtual machine Extend the popular Burp Suite web-hacking tool Abuse Windows COM automation to perform a man-in-the-browser attack Exfiltrate data from a network most sneakily Insider techniques and creative challenges throughout show you how to extend the hacks and how to write your own exploits. When it comes to offensive security, your ability to create powerful tools on the fly is indispensable. Learn how in Black Hat Python. Uses Python 2
Objev podobné jako Black Hat Python, 2nd Edition - Justin Seitz, Tim Arnold
Python Essentials For Dummies - Alan Simpson, John C. Shovic
The no-nonsense way to get started coding in the Python programming language Python Essentials For Dummies is a quick reference to all the core concepts in Python, the multifaceted general-purpose language used for everything from building websites to creating apps. This book gets right to the point, with no excess review, wordy explanations, or fluff, making it perfect as a desk reference on the job or as a brush-up as you expand your skills in related areas. Focusing on just the essential topics you need to know to brush up or level up your Python skill, this is the reliable little book you can always turn to for answers. Get a quick and thorough intro to the basic concepts of coding in PythonReview what you ve already learned or pick up essential new skillsCreate websites, software, machine learning, and automation for school or workKeep this concise reference book handy for jogging your memory as you code This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.
Objev podobné jako Python Essentials For Dummies - Alan Simpson, John C. Shovic
Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform - Rosemary Wang
Use the Infrastructure as Code (IaC) approach to automate, test, and streamline infrastructure for mission-critical applications.In Essential Infrastructure as Code youwill learn how to: Optimize infrastructure for modularity and isolate dependencies Test infrastructure configuration Mitigate, troubleshoot, and isolate failed infrastructure changes Collaborate across teams on infrastructure development Update infrastructure with minimal downtime using blue-green deployments Scale infrastructure systems supporting multiple business units Use patterns for provisioning tools, configuration management, and image building Deliver secure infrastructure configuration to production Essential Infrastructure as Code teaches you how to automate software infrastructure by capturing your desired configurations as a set of scripts.You ll learn how to create, test, and deploy infrastructure components in a way that s easy to scale and share across an entire organization. While the patterns and techniques are tool agnostic, you ll appreciate the easy-to-follow examples in Python and Terraform. A system administrator or infrastructure engineer will learn essential software development practices for managing IaC, while developers will benefit from in-depth coverage of assembling and monitoring infrastructure as part of DevOps culture.
Objev podobné jako Infrastructure as Code, Patterns and Practices: With examples in Python and Terraform - Rosemary Wang
Black Hat Python: Python Programming for Hackers and Pentesters (1718501129)
Kniha - autor Justin Seitz; Tim Arnold, 200 stran, anglicky, brožovaná bez přebalu matná When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. But just how does the magic happen? In Black Hat Python, the latest from Justin Seitz (author of the best-selling Gray Hat Python), you’ll explore the darker side of Python’s capabilities—writing network sniffers, manipulating packets, infecting virtual machines, creating stealthy trojans, and more. You’ll learn how to: –Create a trojan command-and-control using GitHub –Detect sandboxing and automate common malware tasks, like keylogging and screenshotting –Escalate Windows privileges with creative process control –Use offensive memory forensics tricks to retrieve password hashes and inject shellcode into a virtual machine –Extend the popular Burp Suite web-hacking tool –Abuse Windows COM automation to perform a man-in-the-browser...
Objev podobné jako Black Hat Python: Python Programming for Hackers and Pentesters (1718501129)
Master Lock Zkracovací lanový zámek Python 8433EURD - 10mm
Master Lock Zkracovací lanový zámek Python 8433EURD - 10mm <img src="/image/32111575-68e5f53233fba-1385840-620-620-3.webp"> Nejlepší obrana? Master Lock! Master Lock-Python je první nastavitelný a uzamykatelný kabel na světě. Flexibilita a pevnost v jednom Python lanové zámky nabízí skutečně široký rozsah použití a uplatnění. Pevnost: Lanko z pletené oceli pro vysokou pevnost a pružnost Flexibilita: Díky flexibilní konstrukci zámku lze konec lanka provléct i těžko dostupnými místy Bezpečnost: Integrovaný pojistný mechanismus chránící před vyhmatáním zámku Ochrana: ABS plastový kryt zámku a vinylový potah lanka chránící proti mechanickému poškození Široké spektrum využití Python zámky jsou oblíbené u autodopravců, stavebních firem, policie, hasičů, lesníků či soukromých zemědělců. Technická specifikace Kód produktu: 8433EURD Délka lana: 1,8m Vnější průměr lana: 10mm Bezpečnostní třída: ML6 Materiál zámku/lana: Kov + ABS plast/ocel Barva: Černá + žlutá Klíče: 4 ks
Objev podobné jako Master Lock Zkracovací lanový zámek Python 8433EURD - 10mm
Python (978-80-271-3442-7)
Elektronická kniha - autor Rudolf Pecinovský, 608 stran, česky Python je podle serveru Tiobe již déle než dva roky třetím nejpopulárnějším programovacím jazykem po jazycích C/C++ a Java. Jeho popularita stále sílí a ve světě vychází další a další učebnice Pythonu. Nová učebnice je výrazně rozšířena a upravena a vychází z předchozího díla autora Python - Kompletní příručka jazyka pro verzi 3.9 a vznikla jako reakce na její velký úspěch a na žádosti čtenářů o rozšíření výkladu. Původní text byl proto výrazně přepracován a podstatně rozšířen. Python vznikl jako jazyk, který měl laikům usnadnit vstup do světa programování a umožnit jim s co nejmenším úsilím vytvářet jednoduché programy. Jak jeho obliba rostla, tak rostly i požadavky na rozšíření jeho schopností. Tato publikace podrobně probírá jazyk Python a jeho možnosti včetně těch, na které v jiných knihách již nezbývá místo. Snaží se představit jazyk hlouběji, aby v ní uživatelé našli potřebné informaci i v...
Objev podobné jako Python (978-80-271-3442-7)
Philips NOV 2016 Python SVÍTIDLO VENKOVNÍ NÁSTĚNNÉ 1x6W 230V 17323/47/16
Philips NOV 2016 Python – Venkovní nástěnné LED svítidlo v designu nerezObjevte moderní a elegantní řešení venkovního osvětlení s nástěnným svítidlem Philips NOV 2016 Python. Tento model je vytvořen z kvalitní nerezové oceli a nabízí nejen vysokou odolnost, ale i sofistikovaný vzhled vhodný pro fasády domů, vstupy, terasy či balkony. Díky integrovanému LED zdroji získáte stabilní světelný výkon, úsporu energie a dlouhodobou spolehlivost i v náročných venkovních podmínkách.Hlavní přednosti a parametry Barva: nerezová ocel Materiál: nerez Rozměry: 215 × 171 × 96 mm (v × š × h) Světelný tok: 600 lm – ideální pro orientační i náladové osvětlení Teplota chromatičnosti: 2700 K (příjemná teplá bílá) Typ světelného zdroje: integrovaná LED, součást balení Příkon: max. 1×6 W Napájení: 220–240 V Krytí: IP44 – odolné proti stříkající vodě a prachu Energetická třída: A++ – maximálně úsporné řešeníVhodné použití a doporučení architektaPhilips NOV 2016 Python je skvělou volbou pro zvýraznění vstupních prostor, chodníků, pergol či okolí garáží. Nerezová povrchová úprava zajišťuje nejen vysokou odolnost vůči povětrnostním vlivům, ale také nadčasový vzhled, který se snadno kombinuje s moderní i tradiční architekturou. Integrované LED osvětlení poskytuje okamžitý plný výkon bez zahřívání a zajišťuje rovnoměrné, neoslňující světlo.Trust badges garance Životnost LED: až 30 000 hodin Záruka: 2 roky Certifikace: CEČasto kladené otázky (FAQ) Lze svítidlo instalovat i na nezastřešené venkovní stěny? Ano, díky krytí IP44 je svítidlo vhodné pro venkovní použití a je chráněno proti stříkající vodě i prachu. Je nutné dokupovat žárovku? Ne, LED zdroj je již součástí balení a zajišťuje dlouhou životnost a úsporný provoz.Zvolte Philips NOV 2016 Python pro bezpečné, úsporné a stylové osvětlení vašeho exteriéru. Kvalita značky Philips a moderní LED technologie jsou zárukou dlouhodobé spokojenosti.
Objev podobné jako Philips NOV 2016 Python SVÍTIDLO VENKOVNÍ NÁSTĚNNÉ 1x6W 230V 17323/47/16
Philips NOV 2016 Python SVÍTIDLO VENKOVNÍ NÁSTĚNNÉ SE SENZOREM 1x6W 230V 17324/47/16
Philips NOV 2016 Python – Venkovní nástěnné svítidlo se senzorem, nerezVenkovní nástěnné svítidlo Philips NOV 2016 Python je synonymem moderního designu, spolehlivosti a maximální úspory energie. Toto LED svítidlo v elegantním nerezovém provedení je ideální volbou pro osvětlení vstupních prostor, teras, zahradních cest či garáží. Díky integrovanému pohybovému senzoru nabízí vysoký komfort a bezpečí – světlo se automaticky rozsvítí při zaznamenání pohybu.Hlavní přednosti svítidla Philips Python Úsporná LED technologie – maximální příkon 6 W, světelný tok 600 lm Přirozeně teplé bílé světlo (2700 K) pro příjemnou atmosféru Pohybový senzor – automatické spínání světla při detekci pohybu Odolnost vůči povětrnostním vlivům – krytí IP44 Moderní nerezový vzhled – snadná údržba a dlouhá životnost materiálů Snadná instalace – LED zdroj je součástí baleníTechnické parametry Barva: nerez Materiál: nerezová ocel, plast Energetická třída: A++ Příkon: 1x6W LED (zdroj součástí balení) Napájení: 220–240 V Světelný tok: 600 lm Teplota chromatičnosti: 2700 K (teplá bílá) Krytí: IP44 – odolné proti stříkající vodě Rozměry: výška 215 mm, šířka 171 mm, hloubka 83 mm Životnost LED: až 30 000 hodin Záruka: 2 roky Certifikace: CENaše doporučeníPhilips Python je skvělým řešením pro automatické a efektivní osvětlení vstupních prostor a chodníků. Jeho moderní vzhled perfektně doplní fasádu každého domu a díky odolnému provedení bude sloužit dlouhá léta bez potřeby časté údržby. LED technologie garantuje minimální spotřebu energie a vysokou životnost.Trust badges garance Životnost LED: 30 000 hodin Záruka: 2 roky Certifikace: CEFAQ – Často kladené otázky Lze svítidlo instalovat i do krytých prostor? Ano, díky krytí IP44 je svítidlo vhodné pro venkovní i polokryté prostory, jako jsou vstupní stříšky, altány či balkony. Jaký je dosah pohybového senzoru? Dosah senzoru je běžně 5–8 metrů přímo před svítidlem v úhlu 120°.
Objev podobné jako Philips NOV 2016 Python SVÍTIDLO VENKOVNÍ NÁSTĚNNÉ SE SENZOREM 1x6W 230V 17324/47/16
Philips Python IR venkovní nástěnné LED svítidlo se senzorem 1x6W 500lm 4000K IP44, antracitové
Philips Python IR – venkovní nástěnné LED svítidlo se senzorem, antracitovéModerní nástěnné LED svítidlo Philips Python IR je ideální volbou pro osvětlení vstupů, teras, chodníků či zahradních zákoutí, kde oceníte nejen jeho elegantní vzhled, ale i funkčnost pohybového senzoru. Kombinace nerezové oceli a kvalitního plastu v antracitové povrchové úpravě zajišťuje dlouhou životnost a odolnost proti povětrnostním vlivům.Hlavní přednosti svítidla Philips Python IR Integrovaný LED zdroj o příkonu 6 W a světelném toku 500 lm – okamžité a efektivní osvětlení Barva světla 4000 K – neutrální bílé světlo pro bezpečný pohyb a dobrou orientaci Úhel vyzařování 110° – rovnoměrné pokrytí prostoru Pohybový IR senzor – automatické rozsvícení při detekci pohybu šetří energii i Vaše pohodlí Krytí IP44 – ochrana proti stříkající vodě, vhodné pro venkovní použití Moderní design – oblé linie a elegantní antracitové provedení skvěle doplní každou fasádu Rozměry: 215 × 171 × 96 mm, hmotnost 480 gTechnické parametry Příkon: 6 W Světelný tok: 500 lm Teplota světla: 4000 K (neutrální bílá) Index podání barev: CRI ≥ 80 Životnost zdroje: 25 000 hodin Energetická třída: E Materiál: nerezová ocel/plast Barva: antracitová Krytí: IP44 Napájení: 220–240 VTrust badges amp; garance Životnost LED: 25 000 hodin Záruka: 2 roky na svítidlo + 3 roky na LED modul (celkem 5 let) Certifikace: CENaše doporučeníPhilips Python IR je perfektní volbou pro všechny, kteří hledají spolehlivé, úsporné a designově čisté osvětlení venkovních prostor. Senzor pohybu výrazně zvyšuje komfort a bezpečnost, zatímco integrovaný LED zdroj znamená minimální nároky na údržbu. Svítidlo doporučuji instalovat v místech, kde potřebujete okamžité osvětlení bez zásahu do vypínače – například u vchodových dveří, na terase nebo u vjezdu do garáže.FAQ – Často kladené otázky Lze svítidlo stmívat? Ne, toto svítidlo není možné stmívat. Nabízí však příjemné neutrální světlo ideální pro venkovní prostory. Je svítidlo vhodné i do nechráněných venkovních prostor? Ano, díky krytí IP44 je svítidlo chráněno proti stříkající vodě a je určeno právě pro venkovní použití.
Objev podobné jako Philips Python IR venkovní nástěnné LED svítidlo se senzorem 1x6W 500lm 4000K IP44, antracitové
Philips Python IR venkovní nástěnné LED svítidlo se senzorem 1x6W 600lm 2700K IP44, antracitové
Philips Python IR – venkovní nástěnné LED svítidlo se senzorem, antracitovéModerní venkovní osvětlení s maximální funkčností a dlouhou životnostíDesign a materiályVenkovní nástěnné svítidlo Philips Python IR kombinuje elegantní oblý tvar s robustní nerezovou ocelí a antracitovou povrchovou úpravou. Bíly difuzor zajišťuje rovnoměrné rozptýlení teplého světla a vytváří příjemnou atmosféru kolem domu, na terase nebo u vstupu. Minimalistický vzhled svítidla nenaruší ani decentně integrovaný pohybový IR senzor ve spodní části.Parametry a funkce Příkon: 6 W (integrovaný LED zdroj) Světelný tok: 450 lm Teplota světla: 2700 K (teplá bílá) Index podání barev (CRI): 80 Vyzařovací úhel: 110° Životnost LED zdroje: 25 000 h Energetická třída: E Krytí: IP44 – ochrana proti stříkající vodě Materiál: Nerezová ocel/plast Barva: Antracitová Rozměry (V x Š x H): 215 x 171 x 96 mm Hmotnost: 480 g Pohybový IR senzor: Ano Stmívatelnost: Ne Napájení: 220–240 VProč zvolit Philips Python IR? Automatické rozsvícení díky pohybovému senzoru – úspora energie i větší bezpečí. Odolnost proti povětrnostním vlivům – ideální volba pro venkovní použití. Dlouhá životnost integrovaného LED zdroje (až 25 000 h) – bez starostí o výměnu žárovek. Certifikace CE – splňuje evropské bezpečnostní normy. Prodloužená záruka 5 let: 2 roky na svítidlo + 3 roky na LED modul.Naše doporučeníModel Python IR doporučuji pro osvětlení vstupních prostor, chodníků, teras i přístupových cest. Jeho decentní světlo zvýrazní architekturu domu bez oslňování a IR senzor zvýší komfort i bezpečnost pohybu kolem objektu. Ideální pro kombinaci s dalšími svítidly v jednotném designu.Trust badges garance Životnost LED: 25 000 hodin Záruka: 5 let (2+3) Certifikace: CE Krytí: IP44FAQ – Často kladené otázky Je možné svítidlo stmívat? Ne, toto svítidlo není stmívatelné. Jak funguje pohybový senzor? IR senzor automaticky rozsvítí světlo při detekci pohybu v okolí svítidla, což zvyšuje úsporu energie a bezpečnost.
Objev podobné jako Philips Python IR venkovní nástěnné LED svítidlo se senzorem 1x6W 600lm 2700K IP44, antracitové
Philips Python UltraEfficient venkovní nástěnné svítidlo se senzorem LED 3,8W 800lm 2700K IP44, nerezové
Philips Python UltraEfficient venkovní nástěnné svítidlo se senzorem LED 3,8W, 800lm, 2700K, IP44 – nerezovéObjevte sofistikovanou kombinaci moderního designu, extrémní úspornosti a dlouhé životnosti. Venkovní nástěnné svítidlo Philips Python UltraEfficient s integrovaným LED zdrojem a pohybovým PIR senzorem představuje ideální volbu pro bezpečné a komfortní osvětlení vaší zahrady, terasy, vstupních prostor nebo balkónu. Design a materiályElegantní tělo z nerezové oceli s matnou povrchovou úpravou zaručuje nejen moderní vzhled, ale i vynikající odolnost vůči povětrnostním vlivům a rzi. Bílý plastový difuzor rozdělený do tří pruhů rovnoměrně rozptyluje světlo a podtrhuje architektonickou čistotu svítidla. Technické parametry Příkon: 3,8 W Světelný tok: 800 lm Teplota chromatičnosti: 2700 K (teplá bílá) Technologie: Integrovaný LED modul Energetická třída: A (UltraEfficient) Krytí: IP44 – vhodné pro venkovní použití (odolné proti stříkající vodě a prachu) Rozměry: 215 × 171 × 84 mm Materiál: Nerezová ocel, plast Barva: Nerezová ocel / Bílá Napájení: 220–240 V Stmívatelnost: Ne (nelze stmívat)Pohybový senzor PIR a soumrakové čidlo Úhel detekce: 110° Vzdálenost detekce: 0–10 m Doba svícení: Nastavitelná 5 sekund – 12 minut Citlivost na světlo: Nastavitelná (30–200 lux)Díky integrovanému senzoru se světlo rozsvítí přesně tehdy, kdy to potřebujete, a šetří tak elektrickou energii i váš komfort.Proč zvolit Philips Python UltraEfficient? Maximální úspora energie s technologií UltraEfficient LED Velmi dlouhá životnost – až 50 000 hodin Moderní bezúdržbový design Bezpečné a komfortní ovládání díky pohybovému a soumrakovému senzoru Vysoká odolnost proti vlhkosti, rzi a prachu – ideální volba pro venkovní použitíTrust badges garance Životnost LED zdroje: až 50 000 h Záruka: 5 let (2 roky na svítidlo + 3 roky na LED modul) Certifikace: CE, energetická třída ANaše doporučeníPhilips Python UltraEfficient doporučuji pro všechny, kteří hledají spolehlivé, mimořádně úsporné a elegantní venkovní osvětlení. Skvěle se hodí k moderním i nadčasovým stavbám, kde podtrhne čistotu fasády a zároveň poskytne maximální bezpečnost při pohybu okolo domu.FAQ – Často kladené otázky Je možné nastavit délku svícení po detekci pohybu? Ano, doba svícení je nastavitelná v rozsahu 5 sekund až 12 minut. Je svítidlo vhodné na nechráněné venkovní stěny? Ano, díky krytí IP44 je vhodné pro venkovní použití a odolá dešti i prachu.
Objev podobné jako Philips Python UltraEfficient venkovní nástěnné svítidlo se senzorem LED 3,8W 800lm 2700K IP44, nerezové