40 BIBLIOTECAS PYTHON Edição 2024 PDF Download
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Author: Diego Rodrigues
Publisher: Diego Rodrigues
ISBN:
Category : Computers
Languages : en
Pages : 433
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Book Description
🚀 APROVEITE O VALOR PROMOCIONAL DO LANÇAMENTO DO ANO 🚀 Torne-se um especialista em Python com "40 Bibliotecas Python: Um Guia Essencial para Estudantes e Profissionais - Edição 2024". Este guia de Diego Rodrigues é essencial para estudantes, desenvolvedores e profissionais que desejam dominar Python e suas aplicações práticas. Mergulhe no ecossistema Python explorando bibliotecas poderosas. Use NumPy para computação científica, Pandas para análise de dados, Matplotlib e Seaborn para visualização, Scikit-learn para aprendizado de máquina, TensorFlow e Keras para deep learning. O desenvolvimento web será simples com Flask e Django, enquanto Requests e BeautifulSoup facilitam o web scraping. Aprimore habilidades de visão computacional com OpenCV e Pillow, e desenvolva jogos com PyGame. Descubra SciPy para computação científica e SymPy para matemática simbólica. Use Statsmodels para análise de dados e visualize interativamente com Plotly e Bokeh. Explore NLP com NLTK e spaCy, redes neurais com PyTorch, análise de grafos com NetworkX e mineração de dados com Scrapy. SQLAlchemy otimiza bancos de dados, Celery para processamento paralelo, e PandasQL integra SQL com DataFrames. Manipule grandes dados com Dask, teste software com PyTest e use Jupyter para notebooks interativos. Utilize Hadoop e Spark para Big Data e Kivy e Tkinter para interfaces gráficas. Aplique essas bibliotecas em projetos práticos: análise de grandes volumes de dados, construção de modelos preditivos, desenvolvimento de aplicações web e mobile, automação de tarefas e integração com plataformas como AWS, Google Cloud e Microsoft Azure. Com este livro, adquira habilidades para inovar e liderar no competitivo mundo tecnológico, enfrentando desafios com eficiência. Transforme suas habilidades em uma vantagem estratégica. Este livro prático e focado em resultados acelera seu aprendizado e impulsiona sua carreira. Adquira sua cópia e comece a dominar Python e suas bibliotecas, convertendo desafios em soluções eficazes. Tags: Programação em Python, computação científica, análise de dados, visualização, aprendizado de máquina, inteligência artificial, redes neurais, automação, desenvolvimento web, segurança cibernética, big data, engenharia de software, ciência da computação, análise estatística, mineração de dados, machine learning, deep learning, frameworks web, APIs RESTful, computação em nuvem, inovação tecnológica, eficiência operacional, ciência de dados, visão computacional, processamento de linguagem natural, IoT, segurança em nuvem, DevOps, análise preditiva, Docker, Kubernetes, Hadoop, Spark, SQL, NoSQL, análise de sentimento, testes A/B, modelagem preditiva, design de sistemas, prototipagem, SCRUM, Agile, gestão de projetos, análise de negócios. Python NumPy Pandas Matplotlib Seaborn Scikit-learn TensorFlow Keras Flask Django Requests BeautifulSoup OpenCV Pillow PyGame SciPy SymPy Statsmodels Plotly Bokeh NLTK spaCy PyTorch NetworkX Scrapy SQLAlchemy Celery PandasQL Dask PyTest Jupyter Hadoop Spark Kivy Tkinter automação computação científica visualização de dados inteligência artificial redes neurais machine learning deep learning big data análise de dados ciência da computação engenharia de software segurança cibernética AWS Google Cloud Microsoft Azure APIs RESTful programação Python inovação tecnológica eficiência operacional visão computacional processamento de linguagem natural IoT segurança em nuvem DevOps análise preditiva Docker Kubernetes SQL NoSQL análise de sentimento testes A/B modelagem preditiva design de sistemas prototipagem SCRUM Agile gestão de projetos análise de negócios Diego Rodrigues
Author: Diego Rodrigues
Publisher: Diego Rodrigues
ISBN:
Category : Computers
Languages : en
Pages : 433
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Book Description
🚀 APROVEITE O VALOR PROMOCIONAL DO LANÇAMENTO DO ANO 🚀 Torne-se um especialista em Python com "40 Bibliotecas Python: Um Guia Essencial para Estudantes e Profissionais - Edição 2024". Este guia de Diego Rodrigues é essencial para estudantes, desenvolvedores e profissionais que desejam dominar Python e suas aplicações práticas. Mergulhe no ecossistema Python explorando bibliotecas poderosas. Use NumPy para computação científica, Pandas para análise de dados, Matplotlib e Seaborn para visualização, Scikit-learn para aprendizado de máquina, TensorFlow e Keras para deep learning. O desenvolvimento web será simples com Flask e Django, enquanto Requests e BeautifulSoup facilitam o web scraping. Aprimore habilidades de visão computacional com OpenCV e Pillow, e desenvolva jogos com PyGame. Descubra SciPy para computação científica e SymPy para matemática simbólica. Use Statsmodels para análise de dados e visualize interativamente com Plotly e Bokeh. Explore NLP com NLTK e spaCy, redes neurais com PyTorch, análise de grafos com NetworkX e mineração de dados com Scrapy. SQLAlchemy otimiza bancos de dados, Celery para processamento paralelo, e PandasQL integra SQL com DataFrames. Manipule grandes dados com Dask, teste software com PyTest e use Jupyter para notebooks interativos. Utilize Hadoop e Spark para Big Data e Kivy e Tkinter para interfaces gráficas. Aplique essas bibliotecas em projetos práticos: análise de grandes volumes de dados, construção de modelos preditivos, desenvolvimento de aplicações web e mobile, automação de tarefas e integração com plataformas como AWS, Google Cloud e Microsoft Azure. Com este livro, adquira habilidades para inovar e liderar no competitivo mundo tecnológico, enfrentando desafios com eficiência. Transforme suas habilidades em uma vantagem estratégica. Este livro prático e focado em resultados acelera seu aprendizado e impulsiona sua carreira. Adquira sua cópia e comece a dominar Python e suas bibliotecas, convertendo desafios em soluções eficazes. Tags: Programação em Python, computação científica, análise de dados, visualização, aprendizado de máquina, inteligência artificial, redes neurais, automação, desenvolvimento web, segurança cibernética, big data, engenharia de software, ciência da computação, análise estatística, mineração de dados, machine learning, deep learning, frameworks web, APIs RESTful, computação em nuvem, inovação tecnológica, eficiência operacional, ciência de dados, visão computacional, processamento de linguagem natural, IoT, segurança em nuvem, DevOps, análise preditiva, Docker, Kubernetes, Hadoop, Spark, SQL, NoSQL, análise de sentimento, testes A/B, modelagem preditiva, design de sistemas, prototipagem, SCRUM, Agile, gestão de projetos, análise de negócios. Python NumPy Pandas Matplotlib Seaborn Scikit-learn TensorFlow Keras Flask Django Requests BeautifulSoup OpenCV Pillow PyGame SciPy SymPy Statsmodels Plotly Bokeh NLTK spaCy PyTorch NetworkX Scrapy SQLAlchemy Celery PandasQL Dask PyTest Jupyter Hadoop Spark Kivy Tkinter automação computação científica visualização de dados inteligência artificial redes neurais machine learning deep learning big data análise de dados ciência da computação engenharia de software segurança cibernética AWS Google Cloud Microsoft Azure APIs RESTful programação Python inovação tecnológica eficiência operacional visão computacional processamento de linguagem natural IoT segurança em nuvem DevOps análise preditiva Docker Kubernetes SQL NoSQL análise de sentimento testes A/B modelagem preditiva design de sistemas prototipagem SCRUM Agile gestão de projetos análise de negócios Diego Rodrigues
Author: Alberto Cuevas Álvarez
Publisher:
ISBN: 9781716752094
Category :
Languages : es
Pages : 240
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Book Description
Libro sobre creación de interfaces gráficos en Python mediante el uso de las librerías PyQt.
Author: Mark Summerfield
Publisher: Pearson Education
ISBN: 0132703068
Category : Computers
Languages : en
Pages : 763
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Book Description
Whether you're building GUI prototypes or full-fledged cross-platform GUI applications with native look-and-feel, PyQt 4 is your fastest, easiest, most powerful solution. Qt expert Mark Summerfield has written the definitive best-practice guide to PyQt 4 development. With Rapid GUI Programming with Python and Qt you'll learn how to build efficient GUI applications that run on all major operating systems, including Windows, Mac OS X, Linux, and many versions of Unix, using the same source code for all of them. Summerfield systematically introduces every core GUI development technique: from dialogs and windows to data handling; from events to printing; and more. Through the book's realistic examples you'll discover a completely new PyQt 4-based programming approach, as well as coverage of many new topics, from PyQt 4's rich text engine to advanced model/view and graphics/view programming. Every key concept is illuminated with realistic, downloadable examples–all tested on Windows, Mac OS X, and Linux with Python 2.5, Qt 4.2, and PyQt 4.2, and on Windows and Linux with Qt 4.3 and PyQt 4.3.
Author: Martin Fitzpatrick
Publisher: Martin Fitzpatrick
ISBN:
Category : Computers
Languages : en
Pages : 821
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Book Description
Building desktop applications doesn't have to be difficult. Using Python & Qt5 you can create fully functional desktop apps in minutes. This is the 4th Edition of Create GUI Applications, updated for 2020 & PySide2 Starting from the very basics, this book takes you on a tour of the key features of PySide you can use to build real-life applications. Learn the fundamental building blocks of PySide applications — Widgets, Layouts & Signals and learn how PySide uses the event loop to handle and respond to user input. Design beautiful UIs with Qt Designer and customize the look and feel of your applications with Qt Style Sheets and custom widgets. Use Qt's MVC-like ModelViews framework to connect data sources to your widgets, including SQL databases, numpy and pandas data tables, to build-data driven application. Visualize data using matplotlib & PyQtGraph and connect with external data sources to build live dashboards. Learn how to use threads and processes to manage long-running tasks and communicate with external services. Parse data and visualize the output in logs and progress bars. The book includes usability and architectural tips to help you build maintainable and usable PySide2 applications from the start. Finally, once your application is ready to be released, discover how to package it up into professional-quality installers, ready to ship. The book includes - 665 pages of hands-on PySide2 exercises - 211 code examples to experiment with - Includes 4 example apps - Compatible with Python 3.4+ - Code free to reuse in your own projects
Author: Martin Fitzpatrick
Publisher: Martin Fitzpatrick
ISBN:
Category : Computers
Languages : en
Pages : 809
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Book Description
Building desktop applications doesn't have to be difficult. Using Python & Qt5 you can create fully functional desktop apps in minutes. This is the 5th Edition of Create GUI Applications, updated for 2021 & PySide6 Starting from the very basics, this book takes you on a tour of the key features of PySide6 you can use to build real-life applications. Learn the fundamental building blocks of PySide6 applications — Widgets, Layouts & Signals and learn how PySide uses the event loop to handle and respond to user input. Design beautiful UIs with Qt Designer and customize the look and feel of your applications with Qt Style Sheets and custom widgets. Use Qt's MVC-like ModelViews framework to connect data sources to your widgets, including SQL databases, numpy and pandas data tables, to build-data driven application. Visualize data using matplotlib & PyQtGraph and connect with external data sources to build live dashboards. Learn how to use threads and processes to manage long-running tasks and communicate with external services. Parse data and visualize the output in logs and progress bars. The book includes usability and architectural tips to help you build maintainable and usable PySide6 applications from the start. - 665 pages of hands-on PySide6 exercises - 211 code examples to experiment with - Includes 4 example apps - Compatible with Python 3.6+ - Code free to reuse in your own projects
Author: Joshua M. Willman
Publisher: Apress
ISBN: 1484258576
Category : Computers
Languages : en
Pages : 449
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Book Description
Learn GUI application development from the ground up, taking a practical approach by building simple projects that teach the fundamentals of using PyQt. Each chapter gradually moves on to teach more advanced and diverse concepts to aid you in designing interesting applications using the latest version of PyQt. You’ll start by reviewing the beginning steps of GUI development from, using different projects in every chapter to teach new widgets or concepts that will help you to build better UIs. As you follow along, you will construct more elaborate GUIs, covering topics that include storing data using the clipboard, graphics and animation, support for SQL databases, and multithreading applications. Using this knowledge, you’ll be able to build a photo editor, games, a text editor, a working web browser and an assortment of other GUIs. Beginning PyQt will guide you through the process of creating UIs to help you bring your own ideas to life. Learn what is necessary to begin making your own applications and more with PyQt! What You'll Learn Create your own cross-platform GUIs with PyQt and PythonUse PyQt’s many widgets and apply them to building real applicationsBuild larger applications and break the steps into smaller parts for deeper understandingWork with complex applications in PyQt, from animation to databases and more Who This Book Is For Individuals who already have a fundamental understanding of the Python programming language and are looking to either expand their skills in Python or have a project where they need to create a UI, but may have no prior experience or no idea how to begin.
Author: Tomás Domínguez
Publisher: Alpha Editorial
ISBN: 9587787358
Category : Computers
Languages : es
Pages : 471
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Book Description
Las interfaces de usuario son el medio de interacción entre las aplicaciones y las personas. Dependiendo de la forma en la que se lleve a cabo esta comunicación, se distinguen diferentes tipos: desde las de línea de comandos (en las que el intercambio de información se realiza utilizando únicamente texto), pasando por las interfaces gráficas, hasta las sofisticadas interfaces de voz (en las que el usuario ni siquiera necesita usar las manos). Si conoce Python, sabrá que la forma más sencilla de intercambio de datos con un programa escrito en este lenguaje es mediante la shell de su entorno de desarrollo o la línea de comandos proporcionada por una ventana de símbolo del sistema en Windows, la aplicación Terminal en macOS o una consola de Linux (también llamada "terminal" o shell). Se trata, por lo tanto, de una interfaz textual.
Author: Dave Kuhlman
Publisher: Platypus Global Media
ISBN: 9780984221233
Category : Computers
Languages : en
Pages : 202
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Book Description
This document is a self learning document for a course in Python programming. This course contains (1) a part for beginners, (2) a discussion of several advanced topics that are of interest to Python programmers, and (3) a Pythonworkbook with lots of exercises.
Author: Dan Bader
Publisher: Real Python (Realpython.Com)
ISBN: 9781775093329
Category :
Languages : en
Pages : 636
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Book Description
Make the Leap From Beginner to Intermediate in Python... Python Basics: A Practical Introduction to Python 3 Your Complete Python Curriculum-With Exercises, Interactive Quizzes, and Sample Projects What should you learn about Python in the beginning to get a strong foundation? With Python Basics, you'll not only cover the core concepts you really need to know, but you'll also learn them in the most efficient order with the help of practical exercises and interactive quizzes. You'll know enough to be dangerous with Python, fast! Who Should Read This Book If you're new to Python, you'll get a practical, step-by-step roadmap on developing your foundational skills. You'll be introduced to each concept and language feature in a logical order. Every step in this curriculum is explained and illustrated with short, clear code samples. Our goal with this book is to educate, not to impress or intimidate. If you're familiar with some basic programming concepts, you'll get a clear and well-tested introduction to Python. This is a practical introduction to Python that jumps right into the meat and potatoes without sacrificing substance. If you have prior experience with languages like VBA, PowerShell, R, Perl, C, C++, C#, Java, or Swift the numerous exercises within each chapter will fast-track your progress. If you're a seasoned developer, you'll get a Python 3 crash course that brings you up to speed with modern Python programming. Mix and match the chapters that interest you the most and use the interactive quizzes and review exercises to check your learning progress as you go along. If you're a self-starter completely new to coding, you'll get practical and motivating examples. You'll begin by installing Python and setting up a coding environment on your computer from scratch, and then continue from there. We'll get you coding right away so that you become competent and knowledgeable enough to solve real-world problems, fast. Develop a passion for programming by solving interesting problems with Python every day! If you're looking to break into a coding or data-science career, you'll pick up the practical foundations with this book. We won't just dump a boat load of theoretical information on you so you can "sink or swim"-instead you'll learn from hands-on, practical examples one step at a time. Each concept is broken down for you so you'll always know what you can do with it in practical terms. If you're interested in teaching others "how to Python," this will be your guidebook. If you're looking to stoke the coding flame in your coworkers, kids, or relatives-use our material to teach them. All the sequencing has been done for you so you'll always know what to cover next and how to explain it. What Python Developers Say About The Book: "Go forth and learn this amazing language using this great book." - Michael Kennedy, Talk Python "The wording is casual, easy to understand, and makes the information flow well." - Thomas Wong, Pythonista "I floundered for a long time trying to teach myself. I slogged through dozens of incomplete online tutorials. I snoozed through hours of boring screencasts. I gave up on countless crufty books from big-time publishers. And then I found Real Python. The easy-to-follow, step-by-step instructions break the big concepts down into bite-sized chunks written in plain English. The authors never forget their audience and are consistently thorough and detailed in their explanations. I'm up and running now, but I constantly refer to the material for guidance." - Jared Nielsen, Pythonista
Author: Mayur Ramgir
Publisher: Packt Publishing Ltd
ISBN: 1787122301
Category : Computers
Languages : en
Pages : 391
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Book Description
Best practices to adapt and bottlenecks to avoid About This Book Tackle all kinds of performance-related issues and streamline your development Master the new features and new APIs of Java 9 to implement highly efficient and reliable codes Gain an in-depth knowledge of Java application performance and obtain best results from performance testing Who This Book Is For This book is for Java developers who would like to build reliable and high-performance applications. Prior Java programming knowledge is assumed. What You Will Learn Work with JIT compilers Understand the usage of profiling tools Generate JSON with code examples Leverage the command-line tools to speed up application development Build microservices in Java 9 Explore the use of APIs to improve application code Speed up your application with reactive programming and concurrency In Detail Finally, a book that focuses on the practicalities rather than theory of Java application performance tuning. This book will be your one-stop guide to optimize the performance of your Java applications. We will begin by understanding the new features and APIs of Java 9. You will then be taught the practicalities of Java application performance tuning, how to make the best use of garbage collector, and find out how to optimize code with microbenchmarking. Moving ahead, you will be introduced to multithreading and learning about concurrent programming with Java 9 to build highly concurrent and efficient applications. You will learn how to fine tune your Java code for best results. You will discover techniques on how to benchmark performance and reduce various bottlenecks in your applications. We'll also cover best practices of Java programming that will help you improve the quality of your codebase. By the end of the book, you will be armed with the knowledge to build and deploy efficient, scalable, and concurrent applications in Java. Style and approach This step-by-step guide provides real-world examples to give you a hands-on experience.
