Python Programming Basic To Advance Programs With Solution
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Python Programming Basic To Advance Programs With Solution
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Author : Dr. Jitendra Singh Kushwah, Mr. Shirish Mohan Dubey Mr. Mahendra Singh Yadav
language : en
Publisher: BFC Publications
Release Date : 2024-06-22
Python Programming Basic To Advance Programs With Solution written by Dr. Jitendra Singh Kushwah, Mr. Shirish Mohan Dubey Mr. Mahendra Singh Yadav and has been published by BFC Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-22 with Computers categories.
Advanced Python Programming
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Author : Quan Nguyen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-03-25
Advanced Python Programming written by Quan Nguyen 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 2022-03-25 with Computers categories.
Write fast, robust, and highly reusable applications using Python's internal optimization, state-of-the-art performance-benchmarking tools, and cutting-edge libraries Key FeaturesBenchmark, profile, and accelerate Python programs using optimization toolsScale applications to multiple processors with concurrent programmingMake applications robust and reusable using effective design patternsBook Description Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases. What you will learnWrite efficient numerical code with NumPy, pandas, and XarrayUse Cython and Numba to achieve native performanceFind bottlenecks in your Python code using profilersOptimize your machine learning models with JAXImplement multithreaded, multiprocessing, and asynchronous programsSolve common problems in concurrent programming, such as deadlocksTackle architecture challenges with design patternsWho this book is for This book is for intermediate to experienced Python programmers who are looking to scale up their applications in a systematic and robust manner. Programmers from a range of backgrounds will find this book useful, including software engineers, scientific programmers, and software architects.
Advanced Python Programming
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Author : Dr. Gabriele Lanaro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28
Advanced Python Programming written by Dr. Gabriele Lanaro 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 2019-02-28 with Computers categories.
Create distributed applications with clever design patterns to solve complex problems Key FeaturesSet up and run distributed algorithms on a cluster using Dask and PySparkMaster skills to accurately implement concurrency in your codeGain practical experience of Python design patterns with real-world examplesBook Description This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: Python High Performance - Second Edition by Gabriele LanaroMastering Concurrency in Python by Quan NguyenMastering Python Design Patterns by Sakis KasampalisWhat you will learnUse NumPy and pandas to import and manipulate datasetsAchieve native performance with Cython and NumbaWrite asynchronous code using asyncio and RxPyDesign highly scalable programs with application scaffoldingExplore abstract methods to maintain data consistencyClone objects using the prototype patternUse the adapter pattern to make incompatible interfaces compatibleEmploy the strategy pattern to dynamically choose an algorithmWho this book is for This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.
Simple Python
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Author : Dennis Pringle
language : en
Publisher: Lulu.com
Release Date : 2012-08-28
Simple Python written by Dennis Pringle and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-28 with Computers categories.
It is no longer necessary to know how to program to use a computer. However, being able to program opens up new possibilities. It is also fun! This book will teach you how to write your own programs using an easy to learn yet extremely versatile language called Python. The book assumes no prior knowledge of programming, so it is suitable for complete beginners. It explains how to write simple standalone procedural (or imperative) programs; for those wishing to develop their skills further, a companion volume builds upon the material here to explain how to write object-orientated programs and incorporate graphics. Once you learn Python, there will probably never be any need to learn any other language, but if you do decide to learn another language the principles taught here should make the learning curve much more manageable. Based upon the recognition that the best way to learn how to do something is by doing it, the book is generously supplemented by examples and exercises.
Python
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Author : Edwin Cano
language : en
Publisher: Edwin Cano
Release Date :
Python written by Edwin Cano and has been published by Edwin Cano this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Python Crash Course" by Edwin Cano is your ultimate guide to mastering the fundamentals of Python programming, whether you're a complete beginner or looking to refresh your skills. Written with clarity and practicality, this comprehensive book takes you on a step-by-step journey through the essential concepts and tools of Python. From setting up your development environment to diving into advanced topics like object-oriented programming, file handling, and web scraping, this book is packed with real-world examples, hands-on exercises, and practical projects. You'll learn how to write efficient, clean code and apply Python to solve everyday problems, build applications, and even explore fields like data science and web development. What You’ll Learn: The basics of Python syntax, variables, and data types. Mastering loops, conditionals, and functions. Object-oriented programming concepts like classes, inheritance, and polymorphism. Handling files, working with CSV data, and web scraping. Debugging techniques, testing with unittest, and working with APIs. An introduction to data science tools like pandas, matplotlib, and numpy. Whether you're aspiring to build your first Python application or lay the foundation for a career in programming, Python Crash Course provides the knowledge and confidence you need to get started. With engaging tutorials and practical projects like a calculator, task manager, and web scraper, you'll quickly gain the skills to tackle real-world challenges and expand your horizons. If you're ready to unlock the power of Python and join one of the most exciting and versatile programming communities, this book is your perfect companion. Get ready to code, create, and innovate with "Python Crash Course."
Advanced Intelligent Computing Technology And Applications
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Author : De-Shuang Huang
language : en
Publisher: Springer Nature
Release Date : 2024-08-02
Advanced Intelligent Computing Technology And Applications written by De-Shuang Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-02 with Computers categories.
This 6-volume set LNAI 14875-14880 constitutes - in conjunction with the 13-volume set LNCS 14862-14874 and the 2-volume set LNBI 14881-14882 - the refereed proceedings of the 20th International Conference on Intelligent Computing, ICIC 2024, held in Tianjin, China, during August 5-8, 2024. The total of 863 regular papers were carefully reviewed and selected from 2189 submissions. The intelligent computing annual conference primarily aims to promote research, development and application of advanced intelligent computing techniques by providing a vibrant and effective forum across a variety of disciplines. This conference has a further aim of increasing the awareness of industry of advanced intelligent computing techniques and the economic benefits that can be gained by implementing them. The intelligent computing technology includes a range of techniques such as Artificial Intelligence, Pattern Recognition, Evolutionary Computing, Informatics Theories and Applications, Computational Neuroscience & Bioscience, Soft Computing, Human Computer Interface Issues, etc.
Learning Scientific Programming With Python
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Author : Christian Hill
language : en
Publisher: Cambridge University Press
Release Date : 2020-10-22
Learning Scientific Programming With Python written by Christian Hill and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-22 with Computers categories.
This fast-paced introduction to Python moves from the basics to advanced concepts, enabling readers to gain proficiency quickly.
Programming Python
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Author : Mark Lutz
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2006-08-23
Programming 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 2006-08-23 with Computers categories.
Already the industry standard for Python users, ProgrammingPython fromO'Reilly just got even better. This third edition has been updated toreflect current best practices andthe abundance of changes introduced by the latest version of thelanguage, Python 2.5. Whether you're a novice or an advancedpractitioner, you'll find thisrefreshed book more than lives up to its reputation. ProgrammingPython, 3rd Edition, teaches you the rightway to code. It explains Python language syntax and programmingtechniques in a clear and concisemanner, with numerous examples that illustrate both correct usage andcommon idioms. By reading thiscomprehensive guide, you'll learn how to apply Python in real-worldproblem domains such as: GUI programming Internet scripting Parallel processing Database management Networked applications Programming Python, Third Edition coverseach of thesetarget domainsgradually, beginning with in-depth discussions of core concepts andthen progressing toward completeprograms. Large examples do appear, but only after you've learnedenough to understand their techniques andcode. Along the way, you'll also learn how to use the Python language inrealistically scaled programs--concepts such as Object-Oriented Programming (OOP) and code reuseare recurring side themes throughout thistext. If you're interested in Python programming, then this O'Reillyclassic needs to be within arm's reach. Thewealth of practical advice, snippets of code, and patterns of programdesign can all be put into use on adaily basis--making your life easier and more productive. Reviews of the second edition: "...about as comprehensive as any book can be." --Dr. Dobb's Journal "If the language had manuals, they would undoubtedlybe the texts from O'Reilly...'Learning Python' and 'Programming Python'are definitive treatments." --SD Times
Optimization Problems In Transportation And Logistics
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Author : Raj Bridgelall
language : en
Publisher: MDPI
Release Date : 2024-05-17
Optimization Problems In Transportation And Logistics written by Raj Bridgelall and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Mathematics categories.
This educational guide will help students and practitioners seeking to understand the fundamentals and practice of linear programming. The exercises contained within demonstrate how to solve classical optimization problems with an emphasis on spatial analysis in supply chain management and transport logistics. All exercises describe the Python programs and optimization libraries that can be used to solve them. The first chapter introduces key concepts in linear programming and establishes a new cognitive framework to help students and practitioners set up each optimization problem. This cognitive framework organizes the decision variables, constraints, objective function, and variable bounds in a format that allows for direct application to optimization software. The second chapter introduces two types of mobility optimization problems (shortest path in a network and minimum cost tour) in the context of delivery and service planning logistics. The third chapter introduces four types of spatial optimization problems (neighborhood coverage, flow capturing, zone heterogeneity, service coverage) and provides a workflow for visualizing the optimized solutions in maps. The workflow creates decision variables from maps by using the free geographic information systems (GIS) programs QGIS and GeoDA. The fourth chapter introduces three types of spatial logistics problems (spatial distribution, flow maximization, warehouse location optimization) and demonstrates how to scale the cognitive framework in software to reach solutions. The final chapter summarizes lessons learned and provides insights about how students and practitioners can modify the Python programs and GIS workflows to solve their own optimization problem and visualize the results.
Hands On Design Patterns With Python
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Author : Aditya Pratap Bhuyan
language : en
Publisher: Aditya Pratap Bhuyan
Release Date : 2025-03-07
Hands On Design Patterns With Python written by Aditya Pratap Bhuyan and has been published by Aditya Pratap Bhuyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.
Hands-On Design Patterns with Python is an essential guide for software developers and engineers seeking to master design patterns and enhance their Python programming skills. Whether you're a beginner or an experienced Python developer, this book provides you with the tools and practical knowledge to implement and apply design patterns effectively in your projects. Design patterns are proven solutions to common software design challenges. This book dives into the 23 classic design patterns, categorizing them into Creational, Structural, and Behavioral patterns, offering real-world Python code examples and hands-on guidance. Each pattern is explained with clarity, demonstrating its real-world application and helping you write more modular, scalable, and maintainable code. Key Features: Comprehensive Coverage of Design Patterns: From fundamental patterns like Singleton and Factory to advanced ones like Command and State, this book covers a wide range of design patterns with easy-to-follow Python implementations. Practical Code Examples: Every pattern is accompanied by detailed Python code, showing you how to implement and adapt the pattern to solve common software design problems. Real-World Use Cases: Learn how to apply design patterns to solve real-world challenges. Through hands-on projects and case studies, you’ll discover how these patterns fit into various Python applications, from simple scripts to complex systems. Modern Python Insights: The book not only explains design patterns but also integrates Python-specific features, such as decorators, context managers, and type hinting, to make the code cleaner and more Pythonic. Best Practices for Software Design: Beyond just patterns, this book emphasizes writing clean, maintainable code, refactoring legacy systems, and building scalable architectures using design patterns. Who This Book is For: Software Developers looking to deepen their understanding of design patterns and enhance their Python skills. Python Engineers who want to write more efficient, reusable, and maintainable code. Software Architects seeking a structured approach to designing scalable systems with Python. Agile Teams or Scrum Masters who want to integrate design patterns into their development process for better collaboration and system reliability. What You’ll Learn: Creational Patterns like Singleton and Factory Method that simplify object creation. Structural Patterns such as Adapter, Composite, and Decorator that optimize system organization. Behavioral Patterns like Observer and Strategy that manage object interaction. Advanced Patterns like Dependency Injection and Event-Driven Architecture for modern, scalable applications. This book goes beyond theory and empowers you to apply what you've learned in real projects, whether you're building a simple application or developing enterprise-level software. You'll gain the skills to design better systems that are flexible, maintainable, and ready to evolve with your business needs. Hands-On Design Patterns with Python is a practical guide that equips you with everything you need to write cleaner, more efficient, and future-proof software.