Introducing Python

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Introducing Python

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Author : Bill Lubanovic
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-11-06

Introducing Python written by Bill Lubanovic and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-06 with Computers categories.

Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.

Introducing Python

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Author : Bill Lubanovic
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-11-11

Introducing Python written by Bill Lubanovic and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Computers categories.

Annotation With 'Introducing Python', Bill Lubanovic brings years of knowledge as a programmer, system administrator and author to a book of impressive depth that's fun to read and simple enough for non-programmers to use. Along with providing a strong foundation in the language itself, Lubanovic shows you how to use Python for a range of applications in business, science and the arts, drawing on the rich collection of open source packages developed by Python fans.

Learning Python

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Author : Mark Lutz
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2009-10-06

Learning Python written by Mark Lutz and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-06 with Computers categories.

Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course. Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0. Learn about Python's major built-in object types, such as numbers, lists, and dictionaries Create and process objects using Python statements, and learn Python's general syntax model Structure and reuse code using functions, Python's basic procedural tool Learn about Python modules: packages of statements, functions, and other tools, organized into larger components Discover Python's object-oriented programming tool for structuring code Learn about the exception-handling model, and development tools for writing larger programs Explore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing

Introducing Python

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Author : Bill Lubanovic
language : en
Publisher:
Release Date :

Introducing Python written by Bill Lubanovic and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Teach Yourself Visually Raspberry Pi

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Author : Richard Wentk
language : en
Publisher: John Wiley & Sons
Release Date : 2014-02-10

Teach Yourself Visually Raspberry Pi written by Richard Wentk and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-10 with Computers categories.

Full-color, step-by-step guidance for learning to use Raspberry Pi! Raspberry Pi is an inexpensive, single-board computer that serves as an introductory board for students and developing computer professionals. This image-driven, visual guide shows you how the Raspberry Pi can be easily used as a stand-alone computer, a media center, a web server, and much more. Vivid, full-color images bring Raspberry Pi projects to life, while well-illustrated circuit diagrams and step-by-step practical advice cover everything from working with the included software to branching out into typical but more complex endeavors. Covers interesting topics for students and aspiring computer professionals Demonstrates how to create custom projects, work with the Raspberry OS, install other operating systems, get the most out of the Raspberry Pi, and much more Encourages users to study and tinker with the Raspberry Pi Teach Yourself VISUALLY Raspberry Pi is an ideal resource for anyone who learns better with visual instruction and puts them well on their way to making the most of this low-cost computer.

Python For Programmers

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Author : Paul Deitel
language : en
Publisher: Prentice Hall
Release Date : 2019-03-15

Python For Programmers written by Paul Deitel and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.

The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information.

Game Programming With Python Lua And Ruby

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Author : Tom Gutschmidt
language : en
Publisher: Course Technology
Release Date : 2003

Game Programming With Python Lua And Ruby written by Tom Gutschmidt and has been published by Course Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.

Get ready to dive headfirst into the world of programming! Game Programming with Python, Lua, and Ruby offers an in-depth look at these three flexible languages as they relate to creating games. No matter what your skill level as a programmer, this book provides the guidance you need. Each language is covered in its own section?you'll begin with the basics of syntax and style and then move on to more advanced topics. Follow along with each language or jump right to a specific section! Similar features in Python, Lua, and Ruby?including functions, string handling, data types, commenting, and arrays and strings?are examined. Learn how each language is used in popular game engines and projects, and jumpstart your programming expertise as you develop skills you'll use again and again!

Python For Absolute Beginners

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Author : Harry Yoon
language : en
Publisher:
Release Date : 2021-11-22

Python For Absolute Beginners written by Harry Yoon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with categories.

Learn Python Programming Today! With Hands-on Coding Projects and Exercises For Absolute Beginners as Well as More Experienced Programmers Wanna learn programming? Wanna learn Python? Start from this book! This book teaches the fundamentals of programming and the Python language basics, in a series of thoughtfully organized lessons for the most effective learning experience. It includes many hands-on exercises! Python for Absolute Beginners will give you the best introduction to programming in Python whether you are coming from a different programming language background or you are learning programming for the first time. This book covers all the essential features of Modern Python (Python 3.10) through the carefully designed code examples. Python for Absolute Beginners starts from the absolute basics such as how to install the Python tools on your machine, and how to use the Python interactive shell, and it covers all the key concepts of Python 3 with enough depth to be useful even to the experienced programmers. Python for Absolute Beginners is rather unique in that, throughout the book, we cover the fundamentals of Python programming while working on a few simple real programming projects. The book also includes a few "lab sessions" with a number of practical exercises, in which the readers can practice real hands-on programming. Python for Absolute Beginners covers the following topics, among others: The basic structure of a Python program. Python modules and packages. Basic constructs of Python such as expressions and statements. Simple builtin data types, e.g., as integer, float, bool, and string. Complex builtin data types, e.g., list, tuple, and dictionary. Objects. Variables and assignments. Immutability vs mutability. Arithmetic and comparison operations. Builtin functions and methods, e.g., print, input, type, etc. Loops using the `for` and `while` statements. Conditional expressions and conditional statements. The new `match` statement. (New as of 3.10.) How to define a function using the `def` statement. How to define a custom type using the `class` statement. How to create a new enum type. Typing and type annotations. Fundamental concepts of programming such as "recursion". Object oriented programming (OOP). Basics of the software development process. Order your copy and start learning Python programming today! Note: This book uses the rock paper scissors game as our example project to cover the basics of programming in Python. We deliberately picked one of the simplest problems so that we can focus on learning programming, and not the other way around. Note also that the book primarily uses CLI (terminal programs), and not IDEs, to illustrate the software development practice.

Promoting Computer Literacy Through Programming Python

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Author : John Alexander Miller
language : en
Publisher:
Release Date : 2004

Promoting Computer Literacy Through Programming Python written by John Alexander Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.

Breezy And Fun Little Book On Python And Machine

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Author : Lashaunda Bonetto
language : en
Publisher:
Release Date : 2021-07-02

Breezy And Fun Little Book On Python And Machine written by Lashaunda Bonetto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-02 with categories.

Machine Learning (ML) is that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do. In simple words, ML is a type of artificial intelligence that extracts patterns out of raw data by using an algorithm or method. The key focus of ML is to allow computer systems to learn from experience without being explicitly programmed or human intervention. The first part of this book introduces Python basics including: -Data Structures like Pandas -Foundational libraries like Numpy, Seaborn, and Scikit-Learn The second part of this book shows you how to build predictive machine learning models step by step using techniques such as: -Regression analysis -Decision tree analysis -Training and testing data models -Tensor Flow, Keras, and PyTorch -Additional data science concepts like Classification Analysis, Clustering, Association Learning, and Dimension Reduction The final part of the book provides a structured framework on how to solve real-world problems using data science and how to structure your data science project. After reading this book you will be able to: -Code in Python with confidence -Build new machine learning models from scratch -Know how to clean and prepare your data for analytics -Speak confidently about statistical analysis techniques