Python The Complete Handy Guide
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Python The Complete Handy Guide
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-12
Python The Complete Handy Guide written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.
Unleash the power of Python, a versatile and dynamic programming language that has captivated the hearts of developers worldwide. This comprehensive guide, meticulously crafted with the American audience in mind, embarks on a journey to unveil the depths and intricacies of Python, empowering you to create robust and innovative applications. Python's simplicity and ease of learning make it an ideal choice for beginners, enabling them to quickly grasp fundamental programming concepts and embark on their coding journey with confidence. Its intuitive syntax and extensive documentation further enhance the learning experience, ensuring a smooth and enjoyable onboarding process. Beyond its simplicity, Python's cross-platform compatibility sets it apart from many other programming languages. Whether you're working on Windows, Mac, or Linux, Python seamlessly adapts, allowing you to develop and deploy your applications on any platform effortlessly. This versatility makes it an ideal choice for developers seeking to reach a broader audience or collaborate with teams using different operating systems. Python's vast ecosystem of libraries and frameworks further amplifies its capabilities. From data science and machine learning to web development and graphical user interface (GUI) programming, Python has a library for virtually every task. This rich collection of tools empowers developers to tackle complex challenges with pre-built solutions, accelerating development and enhancing productivity. This book delves into the core elements of Python, providing a solid foundation for readers to build upon. It also explores advanced concepts such as object-oriented programming, exception handling, and file handling, equipping readers with the skills to create robust and maintainable applications. With its clear explanations, comprehensive examples, and practical exercises, this book serves as an invaluable resource for both novice and experienced Python developers. Whether you're just starting out or seeking to expand your Python knowledge, this guide will illuminate the path to mastery. Dive into the world of Python and unlock your true potential as a developer. If you like this book, write a review!
Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas 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 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Python Pocket Reference
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Author : Mark Lutz
language : en
Publisher: Oreilly & Associates Incorporated
Release Date : 2014
Python Pocket Reference written by Mark Lutz and has been published by Oreilly & Associates Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.
Updated for both Python 3.4 and 2.7, this guide provides concise information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools.--From back cover.
Clean Code In Python
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Author : Mariano Anaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-29
Clean Code In Python written by Mariano Anaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.
Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebase Learn the principles and techniques of refactoring Apply microservices to your legacy systems by implementing practical techniques Book Description Python is currently used in many different areas such as software construction, systems administration, and data processing. In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into object oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform. By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code. What you will learn Set up tools to effectively work in a development environment Explore how the magic methods of Python can help us write better code Examine the traits of Python to create advanced object-oriented design Understand removal of duplicated code using decorators and descriptors Effectively refactor code with the help of unit tests Learn to implement the SOLID principles in Python Who this book is for This book will appeal to team leads, software architects and senior software engineers who would like to work on their legacy systems to save cost and improve efficiency. A strong understanding of Programming is assumed.
Python
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Author : Martin C. Brown
language : en
Publisher: Complete Reference
Release Date : 2001
Python written by Martin C. Brown and has been published by Complete Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Includes complete module guide and details on using Python for RAD--cover.
Python Made Easy Your Step By Step Guide To Learning Python
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Author : Ayman Elmassarawy
language : en
Publisher: Ayman Elmassarawy
Release Date : 2025-02-08
Python Made Easy Your Step By Step Guide To Learning Python written by Ayman Elmassarawy and has been published by Ayman Elmassarawy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-08 with Computers categories.
Python has become one of the most widely used and versatile programming languages, known for its simplicity, readability, and power. "Python Made Easy: Your Step-by-Step Guide to Learning Python" is designed to help absolute beginners and aspiring programmers build a solid foundation in Python programming, guiding them from fundamental concepts to real-world applications. This book provides a structured, hands-on approach, breaking down complex topics into clear and digestible lessons. It introduces key programming concepts such as data types, variables, control flow, functions, object-oriented programming, file handling, and working with external libraries. With practical examples, coding exercises, and case studies, readers will gain experience in writing efficient and error-free Python programs. Beyond the basics, this book also covers advanced topics such as debugging techniques, automation, data handling, and command-line arguments, ensuring readers develop a deeper understanding of Python's capabilities. Whether you are interested in automation, web development, data science, or software engineering, this guide equips you with the tools to start coding with confidence. By the end of this book, readers will have not only learned Python syntax and best practices but also developed problem-solving skills essential for real-world programming. With Python Made Easy, learning to code has never been more accessible or engaging. Many beginners find programming intimidating, but Python Made Easy simplifies the learning process with: ✅ Step-by-Step Explanations – Each chapter builds on the previous one, ensuring a smooth learning curve. ✅ Hands-On Exercises – Practical coding exercises help reinforce key concepts. ✅ Real-World Applications – Learn how Python is used in various industries. ✅ Clear and Concise Explanations – Technical concepts are broken down into simple, digestible lessons. ✅ Troubleshooting Tips – Common errors and their solutions are covered throughout the book. Whether you want to automate tasks, build web applications, analyze data, or simply understand how coding works, this book provides the foundational knowledge you need. What You Will Learn: This book is designed to be a complete learning guide for Python beginners. Below is an overview of the topics covered: Introduction to Python and why it is widely used. Chapter 2: Python Basics Chapter 3: Control Flow and Loops Chapter 4: Functions and Modules Chapter 5: Data Structures Chapter 6: Object-Oriented Programming (OOP) Chapter 7: File Handling and Working with Data Chapter 8: Error Handling and Debugging Chapter 9: Working with External Libraries Chapter 10: Building Real-World Python Projects Chapter 11: Next Steps in Python How to Use This Book: This book is structured to be beginner-friendly, but also useful for those with some programming background. You can follow it from start to finish or jump to specific chapters that interest you.
Python Standard Library
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Author : Fredrik Lundh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2001
Python Standard Library written by Fredrik Lundh 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 2001 with Computers categories.
CD-ROM contains: programming examples from the book and a demo of the PythonWorks IDE.
Qiskit Pocket Guide
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Author : James L. Weaver
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-14
Qiskit Pocket Guide written by James L. Weaver 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 2022-06-14 with Computers categories.
The quantum computing market is predicted to grow by nearly $1.3 billion over the next five years. Why? Given their quantum mechanical nature, quantum computers are expected to solve difficult problems in chemistry, optimization, finance, and machine learning that classical computers find impossible to unravel. This pocket guide provides software developers with a quick reference to Qiskit, an open source SDK for working with quantum computers. Packed with helpful programming examples, tables, figures, and lists, this handy book helps you find the information you need to develop and debug quantum programs. Whether you're focused on business, engineering, or scientific applications, you'll learn how to choose and apply appropriate Qiskit classes, methods, and functions. Learn how to create quantum circuits, define quantum gates, and leverage the transpiler Explore modules for implementing quantum information concepts and quantum algorithms Survey features of Qiskit that abstract and facilitate working with various quantum computers and simulators Learn how to use the latest version of the Open Quantum Assembly Language
Learning Python
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Author : Mark Lutz
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-06-12
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 2013-06-12 with Computers categories.
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
Linux Pocket Guide
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Author : Daniel J. Barrett
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2004-02-18
Linux Pocket Guide written by Daniel J. Barrett 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 2004-02-18 with Computers categories.
O'Reilly's Pocket Guides have earned a reputation as inexpensive, comprehensive, and compact guides that have the stuff but not the fluff. Every page of Linux Pocket Guide lives up to this billing. It clearly explains how to get up to speed quickly on day-to-day Linux use. Once you're up and running, Linux Pocket Guide provides an easy-to-use reference that you can keep by your keyboard for those times when you want a fast, useful answer, not hours in the man pages.Linux Pocket Guide is organized the way you use Linux: by function, not just alphabetically. It's not the 'bible of Linux; it's a practical and concise guide to the options and commands you need most. It starts with general concepts like files and directories, the shell, and X windows, and then presents detailed overviews of the most essential commands, with clear examples. You'll learn each command's purpose, usage, options, location on disk, and even the RPM package that installed it.The Linux Pocket Guide is tailored to Fedora Linux--the latest spin-off of Red Hat Linux--but most of the information applies to any Linux system.Throw in a host of valuable power user tips and a friendly and accessible style, and you'll quickly find this practical, to-the-point book a small but mighty resource for Linux users.