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Python Workbook

Python Workbook PDF
Author: Jamie Chan
Publisher: Independently Published
Release: 2019-08-23
Size: 80.38 MB
Format: PDF, ePub, Mobi
Category :
Languages : en
Pages : 148
View: 4691

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Python Workbook for Beginners with Hands-On ProjectsAre you looking for a hands-on approach to learn Python fast? Or perhaps you have just completed a Python course and are looking for practice questions to test your Python skills.Do you have problems with some Python concepts and are looking for a workbook to provide you with more questions and solutions to learn from?This workbook is for you.This book is designed to be the accompanying workbook for the book "Learn Python In One Day and Learn It Well (2nd Edition)" by the same author. It can also be used as a standalone workbook for you to test and improve your knowledge of the Python syntax.What this book offers...Carefully designed questionsEach question in this workbook is crafted to help you gradually build your programming skills, focusing on one or two concepts at a time and increasing in level of difficulty as we progress through the chapters.Clear and Easy to Understand SolutionsAll solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new syntax.Two Projects to Consolidate Your LearningThis workbook also includes two projects at the end to help you consolidate your learning. While the individual chapters prior to the projects help you learn one concept at a time, these two projects require the application of multiple concepts covered in previous chapters and allow you to see how everything works together.What this book aims to do...This workbook is written with one goal in mind - to help new programmers overcome their initial obstacles to learning.A lot of times, when new programmers look at code written by other programmers, they tend to feel intimidated as a lot of the code looks complicated to them. A complete program written by other programmers incorporates many different concepts.The goal of this workbook is to isolate the different concepts so that new programmers can gradually gain competency in the fundamentals of the language before working on bigger projects at the end of the book. Programming does not have to be scary or frustrating when you take one step at a time.Ready to start practicing and building your Python skills? Click the BUY button now to download this workbook.Topics Covered: - Variables and Mathematical Operations in Python- Common data types, including integers, floats, strings- Lists, Tuples and Dictionaries- String Formatting- Accepting user inputs and displaying outputs- Comparison and Condition Statements- Control flow tools in Python- How to handle errors and exceptions- What are functions and modules?- How to define your own functions and modules- How to work with external files- Object Oriented Programming Concepts- Classes, Subclasses and Inheritance..and more...Click the BUY button now to start learning and practicing your Python skills. Learn it fast and learn it well.

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Author: Харукі Муракамі
Publisher: Family Leisure Club
Release:
Size: 28.98 MB
Format: PDF, Kindle
Category : Fiction
Languages : uk
Pages :
View: 5225

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Вони були натхненні та яскраві, що відбивалося навіть у їхніх іменах. Розумник Червоний, який надихав усіх на перемогу. Синій — капітан команди з регбі, що вчив не перейматися поразками. Сором’язлива піаністка Біла — красуня з обличчям японської ляльки. Чорна — іронічна комедіантка-інтелектуалка. І невиразної барви Цкуру. П’ятеро шкільних друзів — мов п’ять пальців однієї руки. Серед них головний герой почувався щасливим. Адже він мав мрію. Та одного дня без пояснення причин друзі викреслили Цкуру зі свого життя… Шістнадцять років він будував залізничні станції для інших, бо на тій єдиній, у рідному місті, його більше ніхто не чекав. Тепер він знайде їх, аби нарешті загоїти рану, що досі болить, аби завершити свою прощу, заповнити порожнечу всередині, змести пісок з руїн дружби. Аби дізнатися, що ж трапилося 16 років тому… Харукі Муракамі — найвідоміший сучасний японський письменник. Його твори видано мільйонними накладами у 50 країнах світу. Сьогодні, відзначений великою кількістю літературних нагород, письменник входить до сотні найвпливовіших людей світу за версією журналу Time. Роман «Безбарвний Цкуру Тадзакі та роки його прощі» критики вважають одним з найкращих у його творчості. Продовження на новому творчому витку теми «Норвезького лісу», цей роман-«виховання» лише за перший місяць продажів у Японії розійшовся накладом у мільйон примірників і одразу став світовим бестселером.

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Author: Єжи Косинський
Publisher: Family Leisure Club
Release:
Size: 44.13 MB
Format: PDF, Docs
Category :
Languages : uk
Pages :
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Author: Герман Мелвілл
Publisher: Litres
Release: 2018-12-20
Size: 45.86 MB
Format: PDF, Docs
Category : Fiction
Languages : uk
Pages : 17
View: 1054

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«Мобі Дік» – найвідоміший роман класика американської літератури Германа Мелвілла (1819–1891). Цей дивний твір поєднав у собі захоплюючі пригоди, глибокі філософські роздуми і велику людську драму. Автор розповідає про мандри на китобійному судні – сюжет наче б і простий і в той же час багатоплановий. Герой роману капітан Ахаб вирушає у дуже ризикований рейс, він сповнений рішучості відшукати в океані кита-альбіноса на прізьвисько Мобі Дік. Що штовхнуло його на цей крок: ненаситна жага помсти (капітан колись постраждав від кита) чи спроба довести свою владу над силами природи? Хто може стати переможцем у такому поєдинку, в жахливому вирі людських почуттів і непередбачуваної стихії?..

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Author: Лаймен Баум
Publisher: Litres
Release: 2015-04-02
Size: 30.73 MB
Format: PDF, ePub, Docs
Category : Juvenile Fiction
Languages : uk
Pages : 4444
View: 7379

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Маленькі читачі матимуть змогу познайомитись із найпопулярнішими казковими повістями американського письменника Френка Баума. «Дивовижний чарівник із Країни Оз» – це захоплива історія про дівчинку Дороті з Канзасу, яка разом із песиком Тото потрапляє у казкову Країну Оз. Зустрівши Страшила, Залізного Лісоруба і Лякливого Лева, Дороті вирушає з ними до Смарагдового Міста, щоб могутній чарівник допоміг їм у здійсненні найзаповітніших бажань. У повісті «Дивовижна Країна Оз» розповідається про неймовірні пригоди Страшила, Залізного Лісоруба та їхніх нових друзів у чарівній країні. Для дітей молодшого шкільного віку.

Python Deep Learning

Python Deep Learning PDF
Author: Ivan Vasilev
Publisher: Packt Publishing Ltd
Release: 2019-01-16
Size: 13.27 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 386
View: 7210

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Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book Description With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you’ll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You’ll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You’ll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you’ll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications. What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.

Learn Python Programming

Learn Python Programming PDF
Author: Fabrizio Romano
Publisher: Packt Publishing Ltd
Release: 2018-06-29
Size: 51.56 MB
Format: PDF
Category : Computers
Languages : en
Pages : 508
View: 172

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Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects. Key Features Learn the fundamentals of Python programming with interactive projects Apply Python to data science with tools such as IPython and Jupyter Utilize Python for web development and build a real-world app using Django Book Description Learn Python Programming is a quick, thorough, and practical introduction to Python - an extremely flexible and powerful programming language that can be applied to many disciplines. Unlike other books, it doesn't bore you with elaborate explanations of the basics but gets you up-and-running, using the language. You will begin by learning the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming and learn how Python can be manipulated to achieve results. Explore different programming paradigms and find the best approach to a situation; understand how to carry out performance optimization and effective debugging; control the flow of a program; and utilize an interchange format to exchange data. You'll also walk through cryptographic services in Python and understand secure tokens. Learn Python Programming will give you a thorough understanding of the Python language. You'll learn how to write programs, build websites, and work with data by harnessing Python's renowned data science libraries. Filled with real-world examples and projects, the book covers various types of applications, and concludes by building real-world projects based on the concepts you have learned. What you will learn Get Python up and running on Windows, Mac, and Linux Explore fundamental concepts of coding using data structures and control flow Write elegant, reusable, and efficient code in any situation Understand when to use the functional or OOP approach Cover the basics of security and concurrent/asynchronous programming Create bulletproof, reliable software by writing tests Build a simple website in Django Fetch, clean, and manipulate data Who this book is for Learn Python Programming is for individuals with relatively little experience in coding or Python. It's also ideal for aspiring programmers who need to write scripts or programs to accomplish tasks. The book shows you how to create a full-fledged application.

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Author: Деніел Канеман
Publisher: Наш формат
Release: 2017-11-30
Size: 52.37 MB
Format: PDF, ePub, Docs
Category : Psychology
Languages : uk
Pages : 480
View: 7769

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Зазвичай ми вважаємо, що діємо раціонально. Але чи справді це так? На основі досліджень із когнітивної та соціальної психології Деніел Канеман розкриває таємниці роботи людського мозку, описує неусвідомлені упередження, властивості інтуїтивного та усвідомленого мислення, роль емоцій в оцінних судженнях. Без цих знань ви ризикуєте зробити неправильний вибір у магазині, інвестувати в неуспішні проекти й загалом приймати неправильні рішення. «Мислення швидке й повільне» навчить вас ефективно користуватися обмеженим ресурсом уваги, ухвалювати рішення в умовах невизначеності й удосконалювати власні судження. Утім книжка не є сухою інструкцією з експлуатації мозку. Це психологічна драма з двома дійовими особами у вашій голові — інтуїтивним та усвідомленим мисленням.

Python Machine Learning By Example

Python Machine Learning By Example PDF
Author: Yuxi (Hayden) Liu
Publisher: Packt Publishing Ltd
Release: 2019-02-28
Size: 39.16 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 382
View: 552

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Grasp machine learning concepts, techniques, and algorithms with the help of real-world examples using Python libraries such as TensorFlow and scikit-learn Key Features Exploit the power of Python to explore the world of data mining and data analytics Discover machine learning algorithms to solve complex challenges faced by data scientists today Use Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projects Book Description The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML. Python Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You’ll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way. With the help of this extended and updated edition, you’ll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more. By the end of the book, you’ll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities. What you will learn Understand the important concepts in machine learning and data science Use Python to explore the world of data mining and analytics Scale up model training using varied data complexities with Apache Spark Delve deep into text and NLP using Python libraries such NLTK and gensim Select and build an ML model and evaluate and optimize its performance Implement ML algorithms from scratch in Python, TensorFlow, and scikit-learn Who this book is for If you’re a machine learning aspirant, data analyst, or data engineer highly passionate about machine learning and want to begin working on ML assignments, this book is for you. Prior knowledge of Python coding is assumed and basic familiarity with statistical concepts will be beneficial although not necessary.