Python es el mejor lenguaje de programación tanto para novatos como para veteranos. Es usado en empresas y start-ups de primer nivel, y cada día es más demandado y reconocido mundialmente. Gracias a su carácter polivalente, Python se emplea en las FANG (Facebook, Amazon, Netflix y Google), en scripts simples, aplicaciones de domótica, programación de aplicaciones de escritorio o aplicaciones web complejas que soportan miles de usuarios por segundo, como Instagram o YouTube. Si quiere conocer a fondo este maravilloso lenguaje de programación, aprender a programar en un lenguaje de primer nivel y expandir su conocimiento sobre los lenguajes que conoce, este es su libro. En él se exploran todo tipo de conceptos sobre Python: - Orígenes y evolución del lenguaje. - Conceptos fundamentales de programación: tipos y estructuras de datos, funciones, generadores, decoradores, excepciones, etc. - Programación orientada a objetos en Python. - Programación funcional. - Creación de scripts. - Manejo de bases de datos de diferentes tipos (SQL y noSQL) y ejemplos prácticos de cada una. - Gestión de dependencias, creación y manipulación de paquetes de Python. Asimismo, en este libro encontrará todo lo que necesita para ir un paso más allá y expandir su conocimiento, pues comprende los conceptos esenciales sobre protocolos de Internet, paralelismo y concurrencia en Python, desarrollo de aplicaciones web o de aplicaciones de escritorio, entre otros. Todo ello se acompaña de una aplicación de ejemplo, explicada de forma clara y extensa en cada apartado. Además, el libro cuenta con multitud de casos e incluye un repositorio de código para entrar en profundidad en los ejemplos desarrollado. Si quiere conocer todo el potencial que ofrece este lenguaje, mejorar su conocimiento y aumentar sus cualidades como programador, no lo dude, este libro le guiará en el camino para convertirse en pythonista. Óscar Ramírez es ingeniero en Informáticay pythonista experimentado, que ha orientado su carrera profesional al desarrollo de aplicaciones en Python en múltiples campos desde 2013. Ha contribuido al desarrollo de proyectos en empresas privadas y de software libre en proyectos como Apertium o Django. Es también autor del sitio web www.elpythonista.com y conferenciante en eventos de programación nacionales e internacionales, como PyConEs o Codemotion.

This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1959.

There are many collections of African oral traditions, but few as carefully organized as The Uncoiling Python. Harold Scheub, one of the world’s leading scholars of African oral traditions and folklore, explores the ways in which oral traditions have served to combat and subvert colonial domination in South Africa. From the time colonial forces first came to southern Africa in 1487, oral and written traditions have been a bulwark against what became 350 years of colonial rule, characterized by the racist policies of apartheid. The Uncoiling Python: South African Storytellers and Resistance is the first in-depth study of oral tradition as a means of survival. In open insurrections and other subversive activities Africans resisted the daily humiliations of colonial rule, but perhaps the most effective and least apparent expression of subversion was through indigenous storytelling and poetic traditions. Harold Scheub has collected the stories and poetry of the Xhosa, Zulu, Swati, and Ndebele peoples to present a fascinating analysis of how the apparently harmless tellers of tales and creators of poetry acted as front-line soldiers.

By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book—updated for Python 3.6—clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Run tests automatically by using a Continuous Integration environment Use TDD to build a REST API with a front-end Ajax interface

Examining the consequences of technology-driven lifestyles for both crime commission and victimization, this comprehensive Handbook provides an overview of a broad array of techno-crimes as well as exploring critical issues concerning the criminal justice system’s response to technology-facilitated criminal activity.

This book constitutes the refereed conference proceedings of the 7th International Conference on Finite Difference Methods, FDM 2018, held in Lozenetz, Bulgaria, in June 2018.The 69 revised full papers presented together with 11 invited papers were carefully reviewed and selected from 94 submissions. They deal with many modern and new numerical techniques like splitting techniques, Green’s function method, multigrid methods, and immersed interface method.

This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018. The 34 papers presented were carefully reviewed and selected from 101 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.