introducing python bill lubanovic

Stuck in a coding conundrum? In this updated third edition, Bill Lubanovic acts as your personal guide to Python, offering a clear path through the intricacies and capabilities of this much-beloved coding language, including new chapters on AI models and performance enhancements.

Objev podobné jako Introducing Python - Bill Lubanovic

A fast-paced introduction to Python for intermediate developers–now with coverage of generative AI!For over 25 years, The Quick Python Book has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python''s comprehensive standard library and unique features in depth and detail. In this fourth edition, you''ll find new coverage of AI coding tools like Copilot and Google''s Colaboratory (Colab), and develop a mindset that can make the most of AI. The Quick Python Book, Fourth Edition includes: Python syntax, data structures, and best practices Python as an object oriented language Common Python libraries Basic data handling with Python Using AI code generation tools with Python Whether you''re new to Python or looking to advance your basic skills, The Quick Python Book, Fourth Edition will get you writing effective Python code fast. Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder has returned to author this extensively revised fourth edition. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task. About the technology: System automation. High-performance web apps. Cloud and back-end ... Unknown localization key: "more"

Objev podobné jako The Quick Python Book, Fourth Edition - Naomi Ceder

Tubbz kachnička představuje postavu Billa z hororové hry The Last of Us v humorném pojetí. Figurka je vyrobena z vinylu, měří 9 cm a je oficiálně licencovaná. Není určena pro hraní ve vodě a je vhodná pro děti od 6 let.

• Oficiálně licencovaná figurka z The Last of Us
• Detailní zpracování a věrné zachycení postavy
• Vhodná pro sběratele od 6 let
• První edice s vysokou sběratelskou hodnotou

Objev podobné jako Tubbz kachnička Last of Us Bill první edice

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

Objev podobné jako Data Analysis with Python - Rituraj Dixit

Python Workout presents 50 exercises designed to deepen the reader’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, “At the Forge,” for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi’in, Israel, and can be reached ... Unknown localization key: "more"

Objev podobné jako Python Workout - Reuven Lerner

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 you’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, to unlock 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 – even if you’ve never written code before. David also includes: Targeted coverage of the Python fundamentals required for analytics – 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 ... Unknown localization key: "more"

Objev podobné jako Python in Excel Step-by-Step - David Langer

All You Need to Know, and Nothing You Don''t, to Solve Real Problems with Python Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don''t need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you''ve never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl introduces Python both as a general-purpose language and as a specialist tool for web development and data science, presenting focused examples and exercises that help you internalize what matters, without wasting time on details pros don''t care about. Soon, it''ll be like you were born knowing this stuff--and you''ll be suddenly, seriously dangerous. Learn enough about . . . Applying core Python concepts with the interactive interpreter and command line Writing object-oriented code with Python''s native objects Developing and publishing self-contained Python packages Using elegant, ... Unknown localization key: "more"

Objev podobné jako Learn Enough Python to Be Dangerous - Michael Hartl

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 ... Unknown localization key: "more"

Objev podobné jako Effective Python - Brett Slatkin

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 ... Unknown localization key: "more"

Objev podobné jako Unlocking Python - Ryan Mitchell

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 way—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 applications—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 ... Unknown localization key: "more"

Objev podobné jako Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter

This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition''s expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: ... Unknown localization key: "more"

Objev podobné jako Foundations of Python Network Programming - Brandon Rhodes, Tim Bower, John Goerzen

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 ... Unknown localization key: "more"

Objev podobné jako Learn Python the Hard Way - Zed Shaw

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 there’s no better way to get started in computer programming than this friendly guide. You’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 today’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 started—the easy way.Â

Objev podobné jako Beginning Programming with Python For Dummies - John Paul Mueller

Logic is the backbone of Western civilization, holding together its systems of philosophy, science and law. Yet despite logic’s widely acknowledged importance, it remains an unbroken seal for many, due to its heavy use of jargon and mathematical symbolism.This book follows the historical development of logic, explains the symbols and methods involved and explores the philosophical issues surrounding the topic in an easy-to-follow and friendly manner. It will take you through the influence of logic on scientific method and the various sciences from physics to psychology, and will show you why computers and digital technology are just another case of logic in action. Dan Cryan has degress in Philosophy from UCL. Sharron Shatil is a Philosophy lecturer at the Open University in Israel, and Bill Mayblin is a senior partner in the London design practice the information Design Workshop.

Objev podobné jako Introducing Logic - Dan Cryan, Sharron Shatil, Bill Mayblin

Python in easy steps, 3rd edition teaches you to program in the powerful Python programming language – the world’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

Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.

Objev podobné jako Fast Python for Data Science - Tiago Antao

Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.Features:No prior experience of programming is requiredOnline GitHub repository available with codes for readers to practiceCovers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computingFull solutions to exercises are available as Jupyter notebooks on the WebSupport MaterialGitHub Repository of Python Files and Notebooks: https://github.com/proflynch/CRC-Press/Solutions to All Exercises:Section 1: An Introduction to Python: https://drstephenlynch.github.io/webpages/Solutions_Section_1.htmlSection 2: Python for Scientific Computing: ... Unknown localization key: "more"

Objev podobné jako Python for Scientific Computing and Artificial Intelligence - Stephen Lynch

Engineers of all disciplines can benefit from knowledge of Python. This powerful programming language can help engineers better leverage their skill set and do more sophisticated work in a shorter time, including engineering analysis, machine learning, system design, integration and testing, and project management. What Every Engineer Should Know About Python provides engineering students and practitioners with a simple and practical introduction to Python for technical programming and other empowering uses for engineering and scientific work. It teaches the core features of Python relevant for engineers without computer science jargon, with the immediate goal of writing useful programs.• Features examples tied to real-world engineering and scientific scenarios that are easily adapted and incorporated• Covers how to best leverage the plethora of open source Python packages as opposed developing new software from scratch• Details the why, when, and how to incorporate Python into engineering designs and systems• Describes tool environments and software process best practices for rapid development• Demonstrates other uses of Python besides numerical computing, such as how to incorporate into engineering designs and systems, development tools and processes, and other ancillary uses to improve personal and organizational productivity through workflow automation• Points to more extensive material online for readers ... Unknown localization key: "more"

Objev podobné jako What Every Engineer Should Know About Python - Raymond J. Madachy

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 Python—even if you’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

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 & Videos - CGP Books

For courses in Python programming. A clear and student-friendly introduction to Python Starting Out with Python® introduces programming concepts and problem-solving skills using Tony Gaddis'' accessible approach. Control structures are discussed before classes to familiarize new programmers with the fundamentals. Every chapter includes easy-to-read code listings, practical examples, and application exercises to help students gain confidence in their skills and learn to recognize the logic of developing high-quality programs. The 6th Edition is thoroughly updated with new language features and functionality for versions of Python up through Python 3.9. Hallmark features of this title Student-friendly presentation Written for novice programmers, Gaddis uses easy-to-understand language to introduce concepts. Control structures are explained, then classes and GUI applications. Optional turtle graphics sections are extremely effective at teaching the procedural steps of programming to beginners. Student-focused features Hundreds of example programs explore specific topics or more involved problem solving. Students can run the programs themselves using the source code. In the Spotlight case studies analyze how to solve a programming problem in step-by-step detail. Checkpoints and review questions let students test their understanding at regular intervals. Programming exercises offer hands-on practice opportunities at the end of each chapter. New and updated features of ... Unknown localization key: "more"

Objev podobné jako Starting Out with Python, Global Edition - Tony Gaddis

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 tasks—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

Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you''ll remember important things you''ve forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the ... Unknown localization key: "more"

Objev podobné jako Classic Computer Science Problems in Python - David Kopec

Discover practical solutions for a wide range of real-world network programming tasksAbout This Book• Solve real-world tasks in the area of network programming, system/networking administration, network monitoring, and more. • Familiarize yourself with the fundamentals and functionalities of SDN• Improve your skills to become the next-gen network engineer by learning the various facets of Python programmingWho This Book Is ForThis book is for network engineers, system/network administrators, network programmers, and even web application developers who want to solve everyday network-related problems. If you are a novice, you will develop an understanding of the concepts as you progress with this book. What You Will Learn• Develop TCP/IP networking client/server applications• Administer local machines' IPv4/IPv6 network interfaces• Write multi-purpose efficient web clients for HTTP and HTTPS protocols• Perform remote system administration tasks over Telnet and SSH connections• Interact with popular websites via web services such as XML-RPC, SOAP, and REST APIs• Monitor and analyze major common network security vulnerabilities• Develop Software-Defined Networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Controllers• Emulate simple and complex networks with Mininet and its extensions for network and systems emulations• Learn to configure and build network systems and Virtual Network Functions (VNF) in heterogeneous deployment environments• Explore ... Unknown localization key: "more"

Objev podobné jako Python Network Programming Cookbook - - Dr. M. O. Faruque Sarker, Pradeeban Kathiravelu

Discover an up-to-date and authoritative exploration of Python cybersecurity strategies Python For Cybersecurity: Using Python for Cyber Offense and Defense delivers an intuitive and hands-on explanation of using Python for cybersecurity. It relies on the MITRE ATT&CK framework to structure its exploration of cyberattack techniques, attack defenses, and the key cybersecurity challenges facing network administrators and other stakeholders today. Offering downloadable sample code, the book is written to help you discover how to use Python in a wide variety of cybersecurity situations, including: Reconnaissance, resource development, initial access, and executionPersistence, privilege escalation, defense evasion, and credential accessDiscovery, lateral movement, collection, and command and controlExfiltration and impact Each chapter includes discussions of several techniques and sub-techniques that could be used to achieve an attacker's objectives in any of these use cases. The ideal resource for anyone with a professional or personal interest in cybersecurity, Python For Cybersecurity offers in-depth information about a wide variety of attacks and effective, Python-based defenses against them.

Objev podobné jako Python for Cybersecurity

Data science and machine learning—two of the world''s hottest fields—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 more—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

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

Coding with Python – 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 — 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

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.

Objev podobné jako Statistical Analysis with Python For Dummies - Joseph Schmuller

Doing Math with Python shows you how to use Python to delve into high school level math topics like statistics, geometry, probability, and calculus. You ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you ve gotten the hang of things. Along the way, you ll discover new ways to explore math and gain valuable programming skills that you ll use throughout your study of math and computer science. Learn how to: Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots Explore set theory and probability with programs for coin flips, dicing, and other games of chance Solve algebra problems using Python s symbolic math functions Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You ll write an inequality solver, plot gravity s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing ... Unknown localization key: "more"

Objev podobné jako Doing Math with Python - Amit Saha

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)

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)

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

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

Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.

Objev podobné jako Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

Learn to code like a professional with Python – an open source, versatile, and powerful programming languageKey FeaturesLearn the fundamentals of programming with Python – 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 Python’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 ... Unknown localization key: "more"

Objev podobné jako Learning Python - Fabrizio Romano

Become proficient and efficient with Visual Studio Code and learn how to integrate all your external tools! Visual Studio Code for Python Programmers helps Python developers become not just familiar, but productive in Visual Studio Code. To start, you’ll find the steps for installing Visual Studio Code on Windows, Mac and Linux platforms, along with an introduction to the editing features of the workspace. Coverage of more advanced functionality includes managing source code, debugging, unit testing, and Jupyter Notebook support. The book finishes with a walk-through of real-world projects which utilize Visual Studio Code features introduced in the book. For developers, the choice of an editor is a very personal one. You have idiosyncratic needs and wants that are unique to you as a developer. This book will help you learn how to customize Visual Studio Code to meet your needs and Python development workflow. Introduces you to the features of the Visual Studio Code workspace and how those features can be customizedDemonstrates how Visual Studio Code allows you to choose your structure according to your needsCovers editing code in Python, including syntax highlighting, code completion, object definition, refactoring, and code navigationDescribes Git integration and how to perform common Git ... Unknown localization key: "more"

Objev podobné jako Visual Studio Code for Python Programmers - April Speight

Praise for this book, Python Without Fear “This is really a great book. I wish I’d had it when I was learning Python.” –John M. Wargo, author of Apache Cordova 4 Programming Praise for the previous book in the series, C++ Without Fear “I’m in love with your C++ Without Fear book. It keeps me awake for hours during the night. Thanks to you, I got most of the idea in just a few hours.” –Laura Viral, graduate physics student at CERN and Istanbul, Turkey “It’s hard to tell where I began and ended with your book. I felt like I woke up and literally knew how to write C++ code. I can’t overstate the confidence you gave me.” – Danny Grady, senior programmer/analyst at a Fortune 500 Company Whether you’re new to programming or moving from another language, Python Without Fear will quickly make you productive! Brian Overland’s unique approach to Python includes: Taking you by the hand while teaching topics from the very basics to intermediate and advanced features of Python Teaching by examples that are explained line by line Heavy emphasis on examples that are fun and useful, including games, graphics, database applications, file storage, puzzles, and ... Unknown localization key: "more"

Objev podobné jako Python Without Fear - Brian Overland

For courses in Python Programming Now in its 3rd Edition, Practice of Computing Using Python continues to introduce both majors and non-majors taking CS1 courses to computational thinking using Python, with a strong emphasis on problem solving through computer science. The authors have chosen Python for its simplicity, powerful built-in data structures, advanced control constructs, and practicality. The text is built from the ground up for Python programming, rather than having been translated from Java or C++. Focusing on data manipulation and analysis as a theme, the text allows students to work on real problems using Internet-sourced or self-generated data sets that represent their own work and interests. The authors also emphasise program development and provide both majors and non-majors with a practical foundation in programming that will be useful in their respective fields. Among other changes, the 3rd Edition incorporates a switch to the Anaconda distribution, the SPYDER IDE, and a focus on debugging and GUIs.

Objev podobné jako Practice of Computing Using Python, The, Global Edition - Richard Enbody, William Punch

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you''ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You''ll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.

Objev podobné jako Introduction to Python for Engineers and Scientists - Sandeep Nagar

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python.What You''ll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backgrounds, including backend developers, academic research programmers, data scientists, and machine learning engineers. The book is also useful to high school students and college undergraduates and graduates with STEM backgrounds.

Objev podobné jako Simulation with Python - Aiichiro Nakano, Rongpeng Li

Master Lock Zkracovací lanový zámek Python 8433EURD - 10mm 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

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 ... Unknown localization key: "more"

Objev podobné jako Philips NOV 2016 Python SVÍTIDLO VENKOVNÍ NÁSTĚNNÉ 1x6W 230V 17323/47/16

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 ... Unknown localization key: "more"

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, 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 & garance Životnost LED: 25 000 hodin Záruka: 2 roky na svítidlo + ... Unknown localization key: "more"

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, 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 ... Unknown localization key: "more"

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 – 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 ... Unknown localization key: "more"

Objev podobné jako Philips Python UltraEfficient venkovní nástěnné svítidlo se senzorem LED 3,8W 800lm 2700K IP44, nerezové

Philips Python venkovní nástěnné LED svítidlo 1x6W 450lm 2700K IP44, antracitovéModerní venkovní nástěnné svítidlo Philips Python je ideální volbou pro osvětlení exteriérů, kde hraje roli nejen funkčnost, ale také estetika. Jeho elegantní oblý tvar v kombinaci s antracitovým provedením z nerezové oceli a bílým difuzorem přináší do každé zahrady či na fasádu domu nadčasový a moderní vzhled.Klíčové vlastnosti svítidla Příkon: 6 W (úsporný provoz díky integrované LED technologii) Světelný tok: 450 lm (dostatečné pro orientační i náladové osvětlení) Teplota chromatičnosti: 2700 K (příjemné teplé bílé světlo) Vyzařovací úhel: 110° (efektivní rozptyl světla pro bezpečný pohyb kolem domu) Materiál: nerezová ocel, kvalitní difuzor zajišťující rovnoměrné rozptýlení světla Krytí: IP44 (ochrana proti stříkající vodě – vhodné pro venkovní použití) Rozměry: 215 x 171 x 84 mm (kompaktní, ale efektní design) Barva: antracitová (univerzální odstín pro moderní i tradiční exteriéry) Energetická třída: EDesign a využitíPhilips Python se díky svému elegantnímu designu skvěle hodí ke vstupním dveřím, na terasu, balkon, fasádu nebo zahradní zídku. Bílý difuzor vytváří jemné, neoslňující světlo, které zvýší bezpečnost i atmosféru vašeho venkovního prostoru.Montáž a údržbaSvítidlo je určeno k napájení ze sítě (220–240V), montáž je jednoduchá a rychlá. Integrovaný LED modul nevyžaduje výměnu žárovky, takže odpadá starost s údržbou. Díky ... Unknown localization key: "more"

Objev podobné jako Philips Python venkovní nástěnné LED svítidlo 1x6W 450lm 2700K IP44, antracitové

Philips Python venkovní nástěnné LED svítidlo 1x6W 500lm 4000K IP44, antracitovéModerní osvětlení pro vaši zahradu i vstupní prostoryVenkovní nástěnné LED svítidlo Philips Python je ideální volbou pro designové a zároveň funkční nasvícení exteriéru. Svítidlo kombinuje elegantní antracitovou nerezovou ocel a bílý difuzor, který zajistí rovnoměrné a příjemné rozptýlení světla. Díky integrovanému LED zdroji s příkonem 6 W a světelným tokem 500 lm nabízí dostatečné osvětlení například pro vstupní prostory, terasy, chodníky či fasády domů. Teplota světla 4000K vytváří neutrální bílý odstín, který se hodí ke každé architektuře. Klíčové vlastnosti svítidla Philips Python Úsporný integrovaný LED zdroj – 6 W, 500 lm, životnost až 25 000 hodin Moderní design – oblé linie, antracitová nerezová ocel, bílý plastový difuzor Krytí IP44 – spolehlivá ochrana proti stříkající vodě i prachu Bezúdržbovost – není nutná žádná výměna žárovky Energetická třída E – nízká spotřeba elektrické energie Bezpečné napájení – 220-240 V Rozměry: 215 × 171 × 83,5 mm Vyzařovací úhel: 110°Trust badges a garance Životnost LED: 25 000 h Záruka: 5 let (2 roky na svítidlo + 3 roky na LED modul) Certifikace: CE Stupeň krytí: IP44 – vhodné pro venkovní použitíNaše doporučeníSvítidlo Philips Python doporučuji pro moderní domy, minimalistické fasády i komerční objekty. ... Unknown localization key: "more"

Objev podobné jako Philips Python venkovní nástěnné LED svítidlo 1x6W 500lm 4000K IP44, antracitové

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)