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Python Para Todos


Python Para Todos
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Python Para Todos


Python Para Todos
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Author :
language : es
Publisher: Independently Published
Release Date : 2020-04-03

Python Para Todos written by and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-03 with categories.


Python para Todos está diseñado para introducir a los estudiantes en la programación y el desarrollo de software a través de un enfoque en la exploración de datos. Puedes pensar en Python como una herramienta para resolver problemas que están más allá de las capacidades de una simple hoja de cálculo.Python es un lenguaje de programación fácil de usar y sencillo de aprender, disponible de forma gratuita para equipos Macintosh, Windows, o Linux. Una vez que aprendes Python, puedes utilizarlo el resto de tu carrera sin necesidad de comprar ningún software.Existen copias electrónicas gratuitas de este libro en varios formatos, así como material de soporte para el libro, que pues encontrar en es.py4e.com. Los materiales del curso están disponibles bajo una Licencia Creative Commons, de modo que puedes adaptarlos para enseñar tu propio curso de Python.



Python For Everybody


Python For Everybody
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Author : Charles R. Severance
language : en
Publisher:
Release Date : 2016-04-09

Python For Everybody written by Charles R. Severance and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-09 with categories.


Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.



Learning Python


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



Ciencia De Datos Para Todos Las Respuestas A Cada Una De Las Inquietudes Sobre El Mundo De Los Datos


Ciencia De Datos Para Todos Las Respuestas A Cada Una De Las Inquietudes Sobre El Mundo De Los Datos
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Author : Elisa Cabana
language : es
Publisher: Elisa Cabana
Release Date : 2023-07-21

Ciencia De Datos Para Todos Las Respuestas A Cada Una De Las Inquietudes Sobre El Mundo De Los Datos written by Elisa Cabana and has been published by Elisa Cabana this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-21 with Computers categories.


La Ciencia de Datos es un campo emocionante pero, a la vez, también desafiante. Para aquellos que están empezando puede resultar un poco abrumador: ¿Merece la pena estudiar Ciencia de Datos? ¿Por dónde debo empezar? ¿Cómo puedo aprender todo lo que necesito saber? ¿En cuánto tiempo? ¿Seré capaz de manejar los conocimientos técnicos necesarios? ¿Cómo puedo llevar a cabo un proyecto tan complejo? ¿Qué retos encontraré por el camino? ¿Qué necesito para encontrar trabajo de científico de datos? ¿Cuánto ganaré? En este libro pretendemos dar respuesta a estas y muchas otras inquietudes. Este libro te guiará por el universo de los datos. Veremos en qué consiste la Ciencia de Datos y por qué merece la pena dedicarse a ella. Hablaremos sobre las tres profesiones relacionadas con datos: Ingeniero, Analista y Científico de Datos, en qué se diferencian y qué tienen en común, así como la tasa de empleabilidad, los rangos salariales y qué tareas debe desempeñar cada uno en un proyecto de datos. También definiremos qué conocimientos son necesarios para tener éxito en este campo. Abordaremos los temas de Inteligencia Artificial, Redes neuronales, Machine Learning y Big Data. Con casos de estudio y ejemplos reales, descubrirás las innumerables aplicaciones de la Ciencia de Datos en redes sociales, medicina, salud, ciberseguridad, finanzas, industria y en la sociedad en general. Pero sin olvidar los potenciales riesgos y desafíos éticos y de privacidad que conlleva. También debatimos el tema del futuro de esta rama, así como las nuevas tendencias del presente. Incluimos un apartado de recomendaciones de la mano de expertos en Ciencia de Datos en diversos sectores: banca, empresa e investigación que compartirán sus experiencias personales y te darán consejos para avanzar por este camino. Por último, incluiremos una serie de recursos adicionales como hojas de ruta, esquemas para saber cuándo aplicar cada algoritmo de Machine Learning, entre otros recursos. Espero que pueda servir como una guía práctica para aquellos que buscan comprender la Ciencia de Datos. El principal objetivo de este libro es que sirva como guía y ayuda a aquellos que quieren transitar por el camino de la Ciencia de Datos o necesitan respuestas a ciertas inquietudes antes de empezar. ¡Que comience tu viaje por el universo de los datos descubriendo todas las respuestas que estabas buscando! ¡Buena suerte y disfruta del aprendizaje! Acerca de la autora: Elisa Cabana es doctora en Estadística, investigadora y científica de datos. Fundadora de la academia online Aprende con Eli, que cuenta con numerosos cursos sobre Estadística, Machine Learning, Análisis de datos y programación en R y Python, con más de 40 mil estudiantes. Ha participado en numerosos proyectos de ciencia de datos con aplicación social. Ahora comparte su experiencia a través de este libro, junto con todo el conocimiento y los pasos necesarios para tener éxito en Ciencia de Datos.



Python For Dummies


Python For Dummies
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Author : Stef Maruch
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-09

Python For Dummies written by Stef Maruch and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-09 with Computers categories.


Python is one of the most powerful, easy-to-read programming languages around, but it does have its limitations. This general purpose, high-level language that can be extended and embedded is a smart option for many programming problems, but a poor solution to others. Python For Dummies is the quick-and-easy guide to getting the most out of this robust program. This hands-on book will show you everything you need to know about building programs, debugging code, and simplifying development, as well as defining what actions it can perform. You’ll wrap yourself around all of its advanced features and become an expert Python user in no time. This guide gives you the tools you need to: Master basic elements and syntax Document, design, and debug programs Work with strings like a pro Direct a program with control structures Integrate integers, complex numbers, and modules Build lists, stacks, and queues Create an organized dictionary Handle functions, data, and namespace Construct applications with modules and packages Call, create, extend, and override classes Access the Internet to enhance your library Understand the new features of Python 2.5 Packed with critical idioms and great resources to maximize your productivity, Python For Dummies is the ultimate one-stop information guide. In a matter of minutes you’ll be familiar with Python’s building blocks, strings, dictionaries, and sets; and be on your way to writing the program that you’ve dreamed about!



Architecture Patterns With Python


Architecture Patterns With Python
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Author : Harry Percival
language : en
Publisher: O'Reilly Media
Release Date : 2020-03-05

Architecture Patterns With Python written by Harry Percival and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-05 with Computers categories.


As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward. With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include: Dependency inversion and its links to ports and adapters (hexagonal/clean architecture) Domain-driven design’s distinction between Entities, Value Objects, and Aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Command-query responsibility segregation (CQRS) Event-driven architecture and reactive microservices



Think Python


Think Python
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Author : Allen B. Downey
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-12-02

Think Python written by Allen B. Downey 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 2015-12-02 with Computers categories.


If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, youâ??ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies



Head First Python


Head First Python
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Author : Paul Barry
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21

Head First Python written by Paul Barry 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.


Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you’ll quickly grasp Python’s fundamentals, working with the built-in data structures and functions. Then you’ll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If you’re intrigued by what you can do with context managers, decorators, comprehensions, and generators, it’s all here. This second edition is a complete learning experience that will help you become a bonafide Python programmer in no time. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Pythonuses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.



The Big Book Of Small Python Projects


The Big Book Of Small Python Projects
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Author : Al Sweigart
language : en
Publisher: No Starch Press
Release Date : 2021-06-25

The Big Book Of Small Python Projects written by Al Sweigart and has been published by No Starch Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-25 with Computers categories.


Best-selling author Al Sweigart shows you how to easily build over 80 fun programs with minimal code and maximum creativity. If you’ve mastered basic Python syntax and you’re ready to start writing programs, you’ll find The Big Book of Small Python Projects both enlightening and fun. This collection of 81 Python projects will have you making digital art, games, animations, counting pro- grams, and more right away. Once you see how the code works, you’ll practice re-creating the programs and experiment by adding your own custom touches. These simple, text-based programs are 256 lines of code or less. And whether it’s a vintage screensaver, a snail-racing game, a clickbait headline generator, or animated strands of DNA, each project is designed to be self-contained so you can easily share it online. You’ll create: • Hangman, Blackjack, and other games to play against your friends or the computer • Simulations of a forest fire, a million dice rolls, and a Japanese abacus • Animations like a virtual fish tank, a rotating cube, and a bouncing DVD logo screensaver • A first-person 3D maze game • Encryption programs that use ciphers like ROT13 and Vigenère to conceal text If you’re tired of standard step-by-step tutorials, you’ll love the learn-by-doing approach of The Big Book of Small Python Projects. It’s proof that good things come in small programs!