Aprende Python desde cero hasta avanzado
Aprende Python desde cero hasta avanzado

Author: Xavier Ochoa Reyes

Publisher: BookRix

Published: 2024-09-23

Total Pages: 197

ISBN-13: 3989291661

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¡Aprende a programar sin conocimientos previos y descubre el poder de Python con este libro! Programar es una habilidad extremadamente demandada, que ofrece muchas ventajas en la vida privada y profesional. Por eso es difícil de entender que pocas personas dominen la programación. Xavier Reyes Ochoa, programador experto, quiere cambiar eso con este libro único. En YouTube es conocido como Programador X, cuenta con millones de vistas y además es un renombrado ingeniero y consultor, con más de una década de experiencia en la industria tecnológica. En este libro, te lleva de la mano en un viaje desde los conceptos más básicos hasta los niveles más avanzados de Python. Con su experiencia como consultor en proyectos para Nintendo y Google, y su rol como ingeniero en AWS, Xavier ha perfeccionado su habilidad para enseñar de manera clara y efectiva. En las primeras páginas, te darás cuenta de que programar no es brujería. En particular, Python es un lenguaje de programación accesible que te permite una entrada especialmente fácil al mundo de la programación. Te sorprenderás de lo rápido y sencillo que avanzarás con este libro diseñado para principiantes, pues no deja ninguna pregunta sin respuesta. Saber programar te hace brillar en cada entrevista de trabajo. ¿Qué encontrarás en este libro? Todo acerca de Python: Conceptos básicos y primeros pasos. Una estructura bien pensada y adaptada a las necesidades de principiantes. Contenido extra: Videos y retos adicionales para profundizar lo aprendido. Consejos adicionales. ¡Y mucho más! Temas específicos de este libro: Python para principiantes y avanzados Variables y tipos de datos: Aprende a manejar diferentes tipos de datos. Operadores: Explora operadores aritméticos, lógicos y de comparación. Estructuras de control de flujo: Domina las sentencias condicionales y los bucles. Funciones: Crea y utiliza funciones para tu código. Números: Manejo de números y operaciones matemáticas. Texto: Manipulación y procesamiento de cadenas de texto. Listas: Aprende a trabajar con listas y sus métodos. Tuplas: Entiende las tuplas. Sets: Descubre los sets y cómo utilizarlos. ¡Y mucho más! (Diccionarios, programacion orientada a objetos (POO), módulos y paquetes, manejo de archivos, bibliotecas y frameworks) Xavier no solo te enseña la teoría, sino que también te guía a través de ejemplos y ejercicios que consolidarán tu aprendizaje. El libro está diseñado con imágenes y un estilo amigable, haciendo que el aprendizaje sea más accesible y entretenido. Ya seas un principiante absoluto o un programador experimentado que busca llevar sus habilidades al siguiente nivel, este libro es tu compañero ideal. Por qué elegir este libro: Autor experto: Xavier es un experto, con un historial probado de éxito en la enseñanza y la industria. Contenido completo: Desde lo básico hasta lo avanzado. Estilo didáctico: Explicaciones claras y concisas con ejemplos prácticos. Retos reales: Aplica tus conocimientos con escenarios del mundo real. No pierdas la oportunidad de transformar tu carrera. Con este libro, te conviertes en un experto en Python. ¡Comienza tu viaje hacia la maestría en Python ahora!

Python for Beginners
Python for Beginners

Author: Programming Languages ACADEMY

Publisher:

Published: 2020-01-02

Total Pages: 363

ISBN-13: 9781654414016

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Would you like to start programming with Python from scratch? This is definitely the easiest way you can find! What are you waiting for, keep reading! This boxset includes: Python Programming for Beginners: The Ultimate Beginner's Guide to Learning the Basics of Python in a Great Crash Course Full of Notions, Tips and Tricks Have you always wanted to learn how to program? Have you always thought it was too difficult? Or did you think you didn't have enough basic skills? If so, keep reading... The PROGRAMMING LANGUAGES ACADEMY has created a targeted learning path within the reach of anyone who wants to start programming without having the appropriate skills. What you will find in this book is a real step by step path that will take you from 0 to 100 in a few days!!! Once you start reading you will appreciate a simple, clear and essential guide. The chapters are short and will deliver new information gradually, so that you are not overwhelmed by too many notions all together. Illustrations, examples and step-by-step guides in each chapter allow you not to make mistakes but above all not to cause confusion. You no longer have to waste time and money trying to learn Python from expensive online courses or from incredibly long textbooks that leave you just more confused and frustrated. Python Workbook: Learn How to Quickly and Effectively Program with Exercises, Projects, and Solutions Do you want to learn one of the most in-demand programming languages of today and start an exciting career in data science, web development, or another field of your choice? Learn Python! Python is easy to read because the code looks a lot like regular English, but don't let this simplicity deceive you: it's one of the most powerful and versatile programming languages out there! In fact, it powers many of your favorite websites and services, including Instagram, Spotify, and even Google! This book takes you on a practical journey through the amazing features of Python. Unlike books that focus on theoretical concepts only, this book will show you how Python is actually used - and encourage you to get creative! Here's what you'll find in this book: Practical programming exercises that will help you apply programming concepts to real-life situations Debugging exercises that will teach you to notice errors in Python code quickly Fun projects that will really test your knowledge and motivate you to practice even more Valuable tips for mastering Python quickly An answer key to check if you were right Learning the basics of any programming language may seem a bit boring at first, but once you've written your first program that really does something - even if it's just printing text on the screen - your excitement and motivation will become unstoppable and you'll yearn for more and more programming challenges that will hone your skills! This book is a perfect companion for any beginning Python programmer. If you've tried learning Python before but got discouraged by too much theory... this book is guaranteed to rekindle your interest in Python programming! If you're ready to learn the basics of python programming 7 DAYS FROM TODAY, get a copy of this book today! Are you ready to start writing Python apps that really work? Scroll up, cli

Django 3 By Example
Django 3 By Example

Author: Antonio Melé

Publisher: Packt Publishing Ltd

Published: 2020-03-31

Total Pages: 569

ISBN-13: 1838989323

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Learn Django 3 with four end-to-end web projects Key FeaturesLearn Django 3 by building real-world web applications from scratch in Python, using coding best practicesIntegrate other technologies into your application with clear, step-by-step explanations and comprehensive example codeImplement advanced functionalities like a full-text search engine, a user activity stream, or a recommendation engineAdd real-time features with Django Channels and WebSocketsBook Description If you want to learn the entire process of developing professional web applications with Python and Django, then this book is for you. In the process of building four professional Django projects, you will learn about Django 3 features, how to solve common web development problems, how to implement best practices, and how to successfully deploy your applications. In this book, you will build a blog application, a social image bookmarking website, an online shop, and an e-learning platform. Step-by-step guidance will teach you how to integrate popular technologies, enhance your applications with AJAX, create RESTful APIs, and set up a production environment for your Django projects. By the end of this book, you will have mastered Django 3 by building advanced web applications. What you will learnBuild real-world web applicationsLearn Django essentials, including models, views, ORM, templates, URLs, forms, and authenticationImplement advanced features such as custom model fields, custom template tags, cache, middleware, localization, and moreCreate complex functionalities, such as AJAX interactions, social authentication, a full-text search engine, a payment system, a CMS, a RESTful API, and moreIntegrate other technologies, including Redis, Celery, RabbitMQ, PostgreSQL, and Channels, into your projectsDeploy Django projects in production using NGINX, uWSGI, and DaphneWho this book is for This book is intended for developers with Python knowledge who wish to learn Django in a pragmatic way. Perhaps you are completely new to Django, or you already know a little but you want to get the most out of it. This book will help you to master the most relevant areas of the framework by building practical projects from scratch. You need to have familiarity with programming concepts in order to read this book. Some previous knowledge of HTML and JavaScript is assumed.

Python Para Todos
Python Para Todos

Author:

Publisher: Independently Published

Published: 2020-04-03

Total Pages: 264

ISBN-13:

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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.

Introduction to Radar Using Python and MATLAB
Introduction to Radar Using Python and MATLAB

Author: Lee Andrew (Andy) Harrison

Publisher: Artech House

Published: 2019-10-31

Total Pages: 491

ISBN-13: 1630815993

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This comprehensive resource provides readers with the tools necessary to perform analysis of various waveforms for use in radar systems. It provides information about how to produce synthetic aperture (SAR) images by giving a tomographic formulation and implementation for SAR imaging. Tracking filter fundamentals, and each parameter associated with the filter and how each affects tracking performance are also presented. Various radar cross section measurement techniques are covered, along with waveform selection analysis through the study of the ambiguity function for each particular waveform from simple linear frequency modulation (LFM) waveforms to more complicated coded waveforms. The text includes the Python tool suite, which allows the reader to analyze and predict radar performance for various scenarios and applications. Also provided are MATLAB® scripts corresponding to the Python tools. The software includes a user-friendly graphical user interface (GUI) that provides visualizations of the concepts being covered. Users have full access to both the Python and MATLAB source code to modify for their application. With examples using the tool suite are given at the end of each chapter, this text gives readers a clear understanding of how important target scattering is in areas of target detection, target tracking, pulse integration, and target discrimination.

R for Data Science
R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Data Mining for Business Analytics
Data Mining for Business Analytics

Author: Galit Shmueli

Publisher: John Wiley & Sons

Published: 2019-10-14

Total Pages: 608

ISBN-13: 111954985X

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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Penetration Testing
Penetration Testing

Author: Georgia Weidman

Publisher: No Starch Press

Published: 2014-06-14

Total Pages: 531

ISBN-13: 1593275641

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Penetration testers simulate cyber attacks to find security weaknesses in networks, operating systems, and applications. Information security experts worldwide use penetration techniques to evaluate enterprise defenses. In Penetration Testing, security expert, researcher, and trainer Georgia Weidman introduces you to the core skills and techniques that every pentester needs. Using a virtual machine–based lab that includes Kali Linux and vulnerable operating systems, you’ll run through a series of practical lessons with tools like Wireshark, Nmap, and Burp Suite. As you follow along with the labs and launch attacks, you’ll experience the key stages of an actual assessment—including information gathering, finding exploitable vulnerabilities, gaining access to systems, post exploitation, and more. Learn how to: –Crack passwords and wireless network keys with brute-forcing and wordlists –Test web applications for vulnerabilities –Use the Metasploit Framework to launch exploits and write your own Metasploit modules –Automate social-engineering attacks –Bypass antivirus software –Turn access to one machine into total control of the enterprise in the post exploitation phase You’ll even explore writing your own exploits. Then it’s on to mobile hacking—Weidman’s particular area of research—with her tool, the Smartphone Pentest Framework. With its collection of hands-on lessons that cover key tools and strategies, Penetration Testing is the introduction that every aspiring hacker needs.

Humanities Data Analysis
Humanities Data Analysis

Author: Folgert Karsdorp

Publisher: Princeton University Press

Published: 2021-01-12

Total Pages: 352

ISBN-13: 0691172366

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A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations

Perl Cookbook
Perl Cookbook

Author: Tom Christiansen

Publisher: "O'Reilly Media, Inc."

Published: 2003-08-21

Total Pages: 967

ISBN-13: 0596554966

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Find a Perl programmer, and you'll find a copy of Perl Cookbook nearby. Perl Cookbook is a comprehensive collection of problems, solutions, and practical examples for anyone programming in Perl. The book contains hundreds of rigorously reviewed Perl "recipes" and thousands of examples ranging from brief one-liners to complete applications.The second edition of Perl Cookbook has been fully updated for Perl 5.8, with extensive changes for Unicode support, I/O layers, mod_perl, and new technologies that have emerged since the previous edition of the book. Recipes have been updated to include the latest modules. New recipes have been added to every chapter of the book, and some chapters have almost doubled in size.Covered topic areas include: Manipulating strings, numbers, dates, arrays, and hashes Pattern matching and text substitutions References, data structures, objects, and classes Signals and exceptions Screen addressing, menus, and graphical applications Managing other processes Writing secure scripts Client-server programming Internet applications programming with mail, news, ftp, and telnet CGI and mod_perl programming Web programming Since its first release in 1998, Perl Cookbook has earned its place in the libraries of serious Perl users of all levels of expertise by providing practical answers, code examples, and mini-tutorials addressing the challenges that programmers face. Now the second edition of this bestselling book is ready to earn its place among the ranks of favorite Perl books as well.Whether you're a novice or veteran Perl programmer, you'll find Perl Cookbook, 2nd Edition to be one of the most useful books on Perl available. Its comfortable discussion style and accurate attention to detail cover just about any topic you'd want to know about. You can get by without having this book in your library, but once you've tried a few of the recipes, you won't want to.