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Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Learn Enough Series) - Michael Hartl June 17, 2023 PDF  BOOKS
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Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Learn Enough Series)
Author: Michael Hartl
Year: June 17, 2023
Format: PDF
File size: PDF 83 MB
Language: English



Book Description: Learn Enough Python to Be Dangerous Software Development Flask Web Apps and Beginning Data Science with Python is an essential guide for anyone looking to learn Python programming, especially those who want to develop software applications and work in data science. The book covers the basics of Python programming, including syntax, data types, control flow, functions, and object-oriented programming, as well as more advanced topics such as web development and data analysis. It also provides practical examples and exercises to help readers internalize what they have learned and apply their knowledge to real-world problems. The author, Michael Hartl, is a renowned instructor and developer who has written several bestselling books on programming and data science. He takes a unique approach to teaching Python by focusing on the most important concepts and skills that professionals need to know to be successful in the field. This book is designed for beginners who want to get started quickly and learn just enough to solve real-world problems without getting bogged down in unnecessary details. The book begins with an introduction to Python and its history, followed by a discussion of the basics of programming, including variables, data types, and control flow. Hartl then delves into more advanced topics such as web development using Flask, a popular Python web framework, and data analysis using NumPy and Pandas. He also covers more specialized topics such as machine learning and data visualization. Throughout the book, Hartl emphasizes the importance of understanding the process of technological evolution and developing a personal paradigm for perceiving the technological process of developing modern knowledge.
arn Enough Python to Be Dangerous Software Development Flask Web Apps and Beginning Data Science with Python является важным руководством для тех, кто хочет изучать программирование на Python, особенно для тех, кто хочет разрабатывать программные приложения и работать в области науки о данных. Книга охватывает основы программирования на Python, включая синтаксис, типы данных, поток управления, функции и объектно-ориентированное программирование, а также более продвинутые темы, такие как веб-разработка и анализ данных. Он также предоставляет практические примеры и упражнения, чтобы помочь читателям усвоить то, что они узнали, и применить свои знания к реальным проблемам. Автор, Майкл Хартл, известный инструктор и разработчик, написавший несколько книг-бестселлеров по программированию и науке о данных. Он использует уникальный подход к обучению Python, сосредоточившись на самых важных концепциях и навыках, которые профессионалы должны знать, чтобы быть успешными в этой области. Эта книга предназначена для новичков, которые хотят быстро начать работу и учиться ровно настолько, чтобы решать реальные проблемы, не увязая в лишних деталях. Книга начинается с введения в Python и его историю, за которым следует обсуждение основ программирования, включая переменные, типы данных и поток управления. Затем Хартл углубляется в более продвинутые темы, такие как веб-разработка с использованием Flask, популярного веб-фреймворка на Python, и анализ данных с использованием NumPy и Pandas. Он также охватывает более специализированные темы, такие как машинное обучение и визуализация данных. На протяжении всей книги Хартл подчёркивает важность понимания процесса технологической эволюции и выработки личностной парадигмы восприятия технологического процесса развития современного знания.
arn Enough Python to Be Dangerous Software Development Flask Web Apps and Beginning Data Science with Python est un guide important pour ceux qui veulent apprendre la programmation sur Python, en particulier ceux qui veulent développer des applications logicielles et travailler dans le domaine de la science des données. livre couvre les bases de la programmation sur Python, y compris la syntaxe, les types de données, le flux de gestion, les fonctions et la programmation orientée objet, ainsi que des sujets plus avancés tels que le développement Web et l'analyse des données. Il fournit également des exemples pratiques et des exercices pour aider les lecteurs à assimiler ce qu'ils ont appris et à appliquer leurs connaissances à des problèmes réels. L'auteur, Michael Hartle, est un formateur et développeur célèbre qui a écrit plusieurs livres best-seller sur la programmation et la science des données. Il adopte une approche unique de l'apprentissage de Python, en se concentrant sur les concepts et les compétences les plus importants que les professionnels doivent connaître pour réussir dans ce domaine. Ce livre est conçu pour les débutants qui veulent commencer à travailler rapidement et apprendre exactement pour résoudre des problèmes réels sans s'attacher à des détails superflus. livre commence par une introduction à Python et son histoire, suivie d'une discussion sur les bases de la programmation, y compris les variables, les types de données et le flux de gestion. Hartle explore ensuite des sujets plus avancés, tels que le développement Web en utilisant Flask, un cadre Web populaire sur Python, et l'analyse de données en utilisant NumPy et Pandas. Il couvre également des sujets plus spécialisés tels que l'apprentissage automatique et la visualisation de données. Tout au long du livre, Hartle souligne l'importance de comprendre l'évolution technologique et de développer un paradigme personnel de la perception du processus technologique du développement des connaissances modernes.
arn Enough Python to Be Dangerous Software Development Flash Web Apps and Beginning Data Science with Python es una guía importante para aquellos que quieren aprender programación en Python, especialmente para aquellos que quieren desarrollar aplicaciones de software y trabajar en el campo de la ciencia de datos. libro cubre los fundamentos de la programación en Python, incluyendo sintaxis, tipos de datos, flujo de control, funciones y programación orientada a objetos, así como temas más avanzados como el desarrollo web y el análisis de datos. También proporciona ejemplos prácticos y ejercicios para ayudar a los lectores a aprender lo que han aprendido y aplicar sus conocimientos a problemas reales. autor, Michael Hartle, es un reconocido instructor y desarrollador que ha escrito varios libros más vendidos sobre programación y ciencia de datos. Adopta un enfoque único para la formación de Python, centrándose en los conceptos y habilidades más importantes que los profesionales necesitan saber para tener éxito en este campo. Este libro está diseñado para principiantes que quieren comenzar rápidamente y aprender exactamente lo suficiente como para resolver problemas reales sin atascarse en detalles innecesarios. libro comienza con una introducción a Python y su historia, seguida de una discusión sobre los fundamentos de la programación, incluyendo variables, tipos de datos y flujo de control. Hartle luego profundiza en temas más avanzados como el desarrollo web usando Flask, un marco web popular en Python, y el análisis de datos usando NumPy y Pandas. También cubre temas más especializados, como el aprendizaje automático y la visualización de datos. A lo largo del libro, Hartle subraya la importancia de comprender el proceso de evolución tecnológica y de generar un paradigma personal de percepción del proceso tecnológico del desarrollo del conocimiento moderno.
arn Enough Python to Be Vicious Software Development Flask Web Apps and Beginning Data Science with Python é uma orientação importante para quem quer estudar programação em Python, especialmente para aqueles que desejam desenvolver aplicações de software e trabalhar na ciência dos dados O livro abrange os fundamentos da programação em Python, incluindo sintaxe, tipos de dados, fluxo de controle, funções e programação focada em objetos, além de temas mais avançados, como desenvolvimento web e análise de dados. Ele também fornece exemplos práticos e exercícios para ajudar os leitores a aprender o que aprenderam e aplicar seus conhecimentos a problemas reais. O autor, Michael Hartl, um instrutor e desenvolvedor famoso que escreveu vários livros best-sellers sobre programação e ciências de dados. Ele usa uma abordagem única do treinamento Python, focando nos conceitos e habilidades mais importantes que os profissionais precisam conhecer para ser bem-sucedidos nesta área. Este livro é projetado para novatos que querem começar a trabalhar rapidamente e aprender exatamente o suficiente para resolver os problemas reais sem ser envolvido em mais detalhes. O livro começa com a introdução em Python e seu histórico, seguido de discussões sobre os fundamentos da programação, incluindo variáveis, tipos de dados e fluxo de controle. Em seguida, Hartl se aprofundará em temas mais avançados, como o desenvolvimento da Web usando Flask, um quadro popular na Web em Python, e a análise de dados usando NumPy e Pandas. Ele também abrange temas mais especializados, como o aprendizado de máquinas e a visualização de dados. Ao longo do livro, Hartl ressaltou a importância de compreender o processo de evolução tecnológica e desenvolver um paradigma de percepção pessoal do processo de desenvolvimento do conhecimento moderno.
arn Enough Python to Be Dangerous Software Development Flask Web Apps and Beginning Data Science with Python ist ein wichtiger itfaden für diejenigen, die Python-Programmierung lernen möchten, insbesondere für diejenigen, die Softwareanwendungen entwickeln und im Bereich Data Science arbeiten möchten. Das Buch behandelt die Grundlagen der Python-Programmierung, einschließlich Syntax, Datentypen, Kontrollfluss, Funktionen und objektorientierte Programmierung sowie fortgeschrittenere Themen wie Webentwicklung und Datenanalyse. Es bietet auch praktische Beispiele und Übungen, um den sern zu helfen, das Gelernte zu verinnerlichen und ihr Wissen auf reale Probleme anzuwenden. Der Autor, Michael Hartl, ist ein bekannter hrer und Entwickler, der mehrere Bestseller-Bücher über Programmierung und Data Science geschrieben hat. Es verfolgt einen einzigartigen Python-rnansatz und konzentriert sich auf die wichtigsten Konzepte und Fähigkeiten, die Profis kennen müssen, um in diesem Bereich erfolgreich zu sein. Dieses Buch ist für Anfänger gedacht, die schnell loslegen und genau genug lernen möchten, um echte Probleme zu lösen, ohne sich in unnötigen Details zu verfangen. Das Buch beginnt mit einer Einführung in Python und seine Geschichte, gefolgt von einer Diskussion über die Grundlagen der Programmierung, einschließlich Variablen, Datentypen und Kontrollfluss. Hartl vertieft sich dann in fortgeschrittenere Themen wie Webentwicklung mit Flask, einem beliebten Python-Web-Framework, und Datenanalyse mit NumPy und Pandas. Es deckt auch speziellere Themen wie maschinelles rnen und Datenvisualisierung ab. Im Laufe des Buches betont Hartl, wie wichtig es ist, den Prozess der technologischen Evolution zu verstehen und ein persönliches Paradigma für die Wahrnehmung des technologischen Prozesses der Entwicklung des modernen Wissens zu entwickeln.
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arn Enough Python to Be Dangerous Software Development Flask Web Apps and Beginning Data Science with Python, Python programlamayı öğrenmek isteyenler, özellikle yazılım uygulamaları geliştirmek ve veri bilimi alanında çalışmak isteyenler için önemli bir kılavuzdur. Kitap, sözdizimi, veri türleri, kontrol akışı, işlevler ve nesne yönelimli programlama dahil olmak üzere Python programlamanın temellerini ve ayrıca web geliştirme ve veri analizi gibi daha gelişmiş konuları kapsar. Ayrıca, okuyucuların öğrendiklerini özümsemelerine ve bilgilerini gerçek dünya problemlerine uygulamalarına yardımcı olacak pratik örnekler ve alıştırmalar sunar. Yazar Michael Hartle, programlama ve veri bilimi üzerine en çok satan kitapları yazan ünlü bir eğitmen ve geliştiricidir. Python öğrenmeye, profesyonellerin bu alanda başarılı olmak için bilmeleri gereken en önemli kavram ve becerilere odaklanarak benzersiz bir yaklaşım getiriyor. Bu kitap, hızlı bir şekilde başlamak ve gereksiz ayrıntılara takılmadan gerçek sorunları çözmek için yeterince öğrenmek isteyen yeni başlayanlar için tasarlanmıştır. Kitap, Python'a ve geçmişine bir giriş ile başlar, ardından değişkenler, veri türleri ve kontrol akışı dahil olmak üzere programlamanın temelleri tartışılır. Hartle daha sonra, popüler bir Python web çerçevesi olan Flask'ı kullanarak web geliştirme ve NumPy ve Pandas'ı kullanarak veri analizi gibi daha gelişmiş konulara girer. Ayrıca makine öğrenimi ve veri görselleştirme gibi daha özel konuları da kapsar. Kitap boyunca Hartle, teknolojik evrim sürecini anlamanın ve modern bilginin gelişiminin teknolojik sürecinin algılanması için kişisel bir paradigma geliştirmenin önemini vurgulamaktadır.
تعلم ما يكفي من الثعبان ليكون خطرًا تطوير البرمجيات تعد تطبيقات الويب القارورة وبدء علوم البيانات مع Python دليلًا مهمًا لأولئك الذين يرغبون في تعلم برمجة Python، خاصة أولئك الذين يرغبون في تطوير تطبيقات البرمجيات والعمل في مجال علوم البيانات. يغطي الكتاب أساسيات برمجة بايثون، بما في ذلك التركيب، وأنواع البيانات، وتدفق التحكم، والوظائف، والبرمجة الكائنية، بالإضافة إلى مواضيع أكثر تقدمًا مثل تطوير الويب وتحليل البيانات. كما يقدم أمثلة عملية وتمارين لمساعدة القراء على استيعاب ما تعلموه وتطبيق معرفتهم على مشاكل العالم الحقيقي. المؤلف، مايكل هارتل، هو مدرب ومطور مشهور كتب العديد من الكتب الأكثر مبيعًا عن البرمجة وعلوم البيانات. يتخذ نهجًا فريدًا لتعلم بايثون، مع التركيز على أهم المفاهيم والمهارات التي يحتاج المهنيون إلى معرفتها ليكونوا ناجحين في هذا المجال. هذا الكتاب مخصص للمبتدئين الذين يرغبون في البدء بسرعة والتعلم بما يكفي لحل المشكلات الحقيقية دون التعثر في التفاصيل غير الضرورية. يبدأ الكتاب بمقدمة لبايثون وتاريخه، تليها مناقشة لأساسيات البرمجة، بما في ذلك المتغيرات وأنواع البيانات وتدفق التحكم. ثم يتعمق Hartle في موضوعات أكثر تقدمًا مثل تطوير الويب باستخدام Flask، وهو إطار عمل ويب شائع لـ Python، وتحليل البيانات باستخدام NumPy و Pandas. كما يغطي موضوعات أكثر تخصصًا مثل التعلم الآلي وتصور البيانات. في جميع أنحاء الكتاب، يؤكد هارتل على أهمية فهم عملية التطور التكنولوجي وتطوير نموذج شخصي لتصور العملية التكنولوجية لتطوير المعرفة الحديثة.

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