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Python Advanced Programming The guide to learn Python programming. Reference with exercises and samples about dynamical programming, multithreading, multiprocessing, debugging, testing and more - Kevin Lioy 2019 EPUB | RTF | PDF CONV Amazon Digital Services LLC BOOKS PROGRAMMING
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Python Advanced Programming The guide to learn Python programming. Reference with exercises and samples about dynamical programming, multithreading, multiprocessing, debugging, testing and more
Author: Kevin Lioy
Year: 2019
Pages: 162
Format: EPUB | RTF | PDF CONV
File size: 10.1 MB
Language: ENG



The book "Python Advanced Programming" is a comprehensive guide to learning advanced concepts of Python programming, covering topics such as dynamic programming, multithreading, multiprocessing, debugging, and testing. This book is designed for experienced programmers who want to take their skills to the next level and explore the full potential of Python programming. The book begins by discussing the importance of understanding the evolution of technology and its impact on society. The author emphasizes the need to develop a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. This perspective is crucial for grasping the significance of Python programming and its role in shaping the future of technology. The first chapter delves into the fundamentals of dynamic programming, exploring the concept of functions and how they can be used to solve complex problems. The author provides examples of real-world applications, demonstrating how dynamic programming can be applied to various domains such as finance, biology, and physics. The chapter concludes with exercises that challenge readers to apply their newfound knowledge to practical scenarios. The second chapter focuses on multithreading and multiprocessing, two essential aspects of advanced Python programming. The author explains how these concepts can improve the performance of Python programs and provides examples of how they can be used in web development, scientific computing, and other areas. This chapter also covers debugging techniques and tools, ensuring that readers have the skills necessary to identify and fix errors in their code.
Книга «Python Advanced Programming» - это всеобъемлющее руководство по изучению передовых концепций программирования на Python, охватывающее такие темы, как динамическое программирование, многопоточность, многопроцессорная обработка, отладка и тестирование. Эта книга предназначена для опытных программистов, которые хотят вывести свои навыки на новый уровень и изучить весь потенциал программирования на Python. Книга начинается с обсуждения важности понимания эволюции технологий и их влияния на общество. Автор подчеркивает необходимость выработки личностной парадигмы восприятия технологического процесса развития современного знания как основы выживания человечества и выживания объединения людей в воюющем государстве. Эта перспектива имеет решающее значение для понимания значимости программирования на Python и его роли в формировании будущего технологий. Первая глава углубляется в основы динамического программирования, исследуя концепцию функций и то, как их можно использовать для решения сложных задач. Автор приводит примеры реальных приложений, демонстрируя, как динамическое программирование может быть применено к различным областям, таким как финансы, биология и физика. Глава завершается упражнениями, которые ставят перед читателями задачу применить свои новообретенные знания к практическим сценариям. Вторая глава посвящена многопоточности и многопроцессорности - двум существенным аспектам продвинутого программирования на Python. Автор объясняет, как эти концепции могут повысить производительность программ на Python, и приводит примеры того, как их можно использовать в веб-разработке, научных вычислениях и других областях. В этой главе также рассматриваются методы и средства отладки, обеспечивающие читателям навыки, необходимые для выявления и исправления ошибок в их коде.
libro «Python Advanced Programming» es una guía integral para el estudio de conceptos avanzados de programación en Python que cubre temas como programación dinámica, multiproceso, procesamiento multiprocesador, depuración y pruebas. Este libro está diseñado para programadores experimentados que quieren llevar sus habilidades a un nuevo nivel y explorar todo el potencial de la programación en Python. libro comienza discutiendo la importancia de entender la evolución de la tecnología y su impacto en la sociedad. autor subraya la necesidad de desarrollar un paradigma personal para percibir el proceso tecnológico del desarrollo del conocimiento moderno como base para la supervivencia de la humanidad y la supervivencia de la unión de los seres humanos en un Estado en guerra. Esta perspectiva es crucial para entender la importancia de la programación en Python y su papel en la formación del futuro de la tecnología. primer capítulo profundiza en los fundamentos de la programación dinámica, explorando el concepto de funciones y cómo se pueden utilizar para resolver problemas complejos. autor da ejemplos de aplicaciones reales, demostrando cómo la programación dinámica se puede aplicar a diferentes campos como las finanzas, la biología y la física. capítulo concluye con ejercicios que plantean a los lectores la tarea de aplicar sus conocimientos recién adquiridos a escenarios prácticos. segundo capítulo se centra en el multiprocesamiento y la multiprocesamiento, dos aspectos esenciales de la programación avanzada en Python. autor explica cómo estos conceptos pueden mejorar el rendimiento de los programas en Python, y da ejemplos de cómo se pueden utilizar en desarrollo web, informática científica y otras áreas. Este capítulo también examina los métodos y herramientas de depuración que proporcionan a los lectores las habilidades necesarias para identificar y corregir errores en su código.
Python Advanced Programming è una guida completa per l'esplorazione dei concetti di programmazione avanzati su Python, che comprende temi quali programmazione dinamica, multitasking, elaborazione multiprocessore, debug e test. Questo libro è progettato per programmatori esperti che vogliono portare le loro competenze a un nuovo livello e esplorare tutto il potenziale di programmazione su Python. Il libro inizia con un dibattito sull'importanza di comprendere l'evoluzione della tecnologia e il loro impatto sulla società. L'autore sottolinea la necessità di sviluppare un paradigma personale della percezione del processo tecnologico dello sviluppo della conoscenza moderna come base della sopravvivenza dell'umanità e della sopravvivenza dell'unione delle persone in uno stato in guerra. Questa prospettiva è fondamentale per comprendere l'importanza della programmazione su Python e il suo ruolo nella formazione del futuro della tecnologia. Il primo capitolo si approfondisce sulle basi della programmazione dinamica, esplorando il concetto delle funzioni e il modo in cui possono essere utilizzate per affrontare le sfide. L'autore fornisce esempi di applicazioni reali, dimostrando come la programmazione dinamica può essere applicata a diversi ambiti, come la finanza, la biologia e la fisica. Il capitolo si conclude con esercizi che impongono ai lettori il compito di applicare le loro nuove conoscenze agli scenari pratici. Il secondo capitolo è dedicato alla multitasking e alla multiprotezione, due aspetti essenziali della programmazione avanzata su Python. L'autore spiega come questi concetti possano migliorare la produttività dei programmi su Python e fornisce esempi di come possono essere utilizzati nello sviluppo Web, nel calcolo scientifico e in altri campi. Questo capitolo descrive anche i metodi e gli strumenti di debug che forniscono ai lettori le competenze necessarie per individuare e correggere gli errori nel loro codice.
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本「Python Advanced Programming」は、動的プログラミング、マルチスレッド、マルチプロセッシング、デバッグ、テストなどのトピックをカバーする、高度なPythonプログラミングの概念を学ぶための包括的なガイドです。この本は、自分のスキルを次のレベルに引き上げ、Pythonプログラミングの可能性を最大限に探求したい経験豊富なプログラマーを対象としています。この本は、技術の進化と社会への影響を理解することの重要性を議論することから始まります。著者は、人類の生存の基礎としての現代知識の発展の技術的プロセスの認識のための個人的なパラダイムを開発する必要性を強調し、戦争状態での人々の統一の生存。この視点は、Pythonプログラミングの重要性と、テクノロジーの未来を形作る上での役割を理解するために不可欠です。第1章では、動的プログラミングの基礎を掘り下げ、関数の概念と複雑な問題を解決するためにどのように使用できるかを探ります。実際の応用例を示し、金融、生物学、物理学など様々な分野で動的プログラミングがどのように応用できるかを示している。この章は、読者が新しい知識を実用的なシナリオに適用することに挑戦する演習で終わります。第2章では、高度なPythonプログラミングの2つの重要な側面であるマルチスレッドとマルチプロセッシングに焦点を当てています。著者は、これらの概念がどのようにPythonプログラムのパフォーマンスを向上させることができるかを説明し、Web開発、科学コンピューティング、およびその他の分野でどのように使用できるかの例を提供します。この章では、コードのエラーを特定して修正するために必要なスキルを読者に提供するデバッグ技術とツールについても説明します。

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