Este curso te dar谩 谩gil acceso a las estructuras de datos principales del lenguaje de programaci贸n Python en su versi贸n 3.0.
Estructuras de datos en Python
Estructuras de datos en Python
This course is part of Aprende a programar con Python Specialization
Instructor: Agustin Olmedo
19,284 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.6
(418 reviews)
Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
92%
Most learners liked this course
What you'll learn
Utilizar strings
Comprender las diferentes estructuras de datos que provee Python
Comprender c贸mo se trabaja con archivos
Comprender qu茅 son las excepciones y el uso de los decoradores
Skills you'll gain
Details to know
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Taught in Spanish
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This course is part of the Aprende a programar con Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
En este m贸dulo abordaremos los siguientes contenidos: Primero trabajaremos con los strings (o cadenas de caracteres), manipulando los strings. Adem谩s, veremos los m茅todos que define el tipo string. Luego trabajaremos con la librer铆a string que forma parte de la biblioteca est谩ndar de Python. Finalmente, aprenderemos a utilizar la librer铆a datetime, para trabajar con fechas, horas y fechas y horas dentro del programa.
What's included
10 videos6 readings7 assignments
Avanzamos al m贸dulo 2 de contenido. En esta semana nos abocaremos a comprender y utilizar las excepciones. Aprenderemos a manejar excepciones, a lanzar excepciones y a crear nuestro propios tipos de excepciones. Luego aprenderemos a trabajar con archivos: leyendo y escribiendo archivos en el sistema de archivos de nuestra computadora. Adem谩s, utilizaremos dos formatos de archivos muy populares para trabajar con sistemas: el formato JSON y el formato CSV.
What's included
9 videos3 readings7 assignments
Llegamos al m贸dulo 3 del curso. En esta semana trabajaremos con las listas: manipulando listas y utilizando los diversos m茅todos que provee el tipo lista. Adem谩s, identificar谩s y trabajar谩s sobre sus diversos usos: pilas, colas, listas por comprensi贸n y matrices. Luego, veremos en detalle algunos m茅todos para buscar elementos en las listas y tambi茅n aprender谩s diversas formas de ordenar los elementos de una lista. Adem谩s, aprender谩s a utilizar el tipo conjunto y comprender谩 cuando utilizar un conjunto en lugar de una lista.
What's included
9 videos1 reading7 assignments
Llegamos al 煤ltimo M贸dulo del curso. Felicitaciones por haber llegado hasta aqu铆. En esta semana podr谩s trabajar con las tuplas: creando, manipulando, empaquetando y desempaquetando tuplas. Luego trabajaremos con la estructura de datos m谩s potente de Python: los diccionarios. Veremos c贸mo crearlos, manipularlos y recorrerlos. Adem谩s utilizar谩s los distintos m茅todos del tipo diccionario. Abordaremos la definici贸n de generadores, comprender谩s c贸mo crearlos y c贸mo y cu谩ndo conviene utilizarlos. Finalmente, aprender谩s qu茅 son los decoradores y veras como crear y utilizar decoradores en tus programas.
What's included
8 videos4 readings7 assignments1 peer review
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Instructor ratings
4.5 (129 ratings)Offered by
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Universidad Austral
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4.6
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Showing 3 of 418
MG
5
Reviewed on Aug 19, 2020
Muy buen curso, me parece que contiene un buen material de estudio y los videos son muy bien explicados. Siento haber logrado un mejor entendimiento con el uso de las funciones.
HP
4
Reviewed on Oct 3, 2020
Es un buen curso para principiantes, pero el contenido podria ser m谩s profundo y poner mas ejemplos para realizar con el programa, de forma que la tarea final no se haga tan cuesta arriba.
GG
5
Reviewed on Nov 14, 2020
El curso me parece muy bueno, solo pienso que deber铆a tener un poco m谩s de profundidad en las actividades de programaci贸n, entendiendo que es el segundo de la ruta de Python. Gracias por su trabajo!
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