Este curso forma parte de Programa especializado: Python 3 Programming

4.7
estrellas
3,508 calificaciones

98 %

Paul Resnick +1 instructores más

64.429 ya inscrito

ofrecido por

Programa especializado: Python 3 ProgrammingUniversidad de Míchigan

Acerca de este Curso

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This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.
The course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.

This is the third of five courses in the Python 3 Programming Specialization.

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Curso 3 de 5 en

Programa especializado: Python 3 Programming

Nivel intermedio

Aprox. 16 horas para completar

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 3 de 5 en

Programa especializado: Python 3 Programming

Nivel intermedio

Aprox. 16 horas para completar

Inglés (English)

Subtítulos: Árabe (Arabic), Francés (French), Portugués (europeo), Italiano, Vietnamita, Coreano, Alemán (German), Ruso (Russian), Inglés (English), Español (Spanish)

Instructores

Calificación del instructor

4,76/5 (394 calificaciones)

Paul Resnick

Michael D. Cohen Collegiate Professor

School of Information

354.329 alumnos

4 cursos

Jaclyn Cohen

Lecturer

School of Information

336.056 alumnos

3 cursos

ofrecido por

Universidad de Míchigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Programa - Qué aprenderás en este curso

Calificación del contenido98%(7,668 calificaciones)

Semana

Semana 1

6 horas para completar

Nested Data and Nested Iteration

In week one the video lectures and activities from the Runestone textbook will cover more complex data structures. By the end of this week, you will have learned how to process json formatted data, traverse nested data using nested iteration, and extract values from nested data.

6 horas para completar

15 videos (Total 127 minutos), 10 lecturas, 3 cuestionarios

15 videos

Introduction to the Specialization11m

How to Use the Interactive Textbook14m

Introduction - Nested Data1m

Nested Lists17m

Nested Dictionaries6m

JSON Format and the JSON Module7m

Conclusion - Nested Data1m

Introduction - Nested Iteration1m

Nested Iteration19m

Structuring Nested Data6m

Shallow Copies7m

Deep Copies10m

Extracting from Nested Data13m

A Worked Example of Nested Iteration6m

Conclusion - Nested Iteration1m

10 lecturas

Syllabus10m

Help Us Learn More About You!10m

Syllabus10m

Introduction: Nested Data and Nested Iteration10m

Nested Dictionaries10m

Processing JSON Results10m

Nested Iteration10m

Structuring Nested Data10m

Deep and Shallow Copies10m

Extracting from Nested Data10m

1 ejercicio de práctica

Optional - What Did You Use to Practice This Week?4m

Semana

Semana 2

4 horas para completar

Map, Filter, and List Comprehensions

In week two you will be learning more advanced forms of accumulation. By the end of the week, you will have learned how to use the map and filter functions in combination with functions to transform or filter out data and store the resulting data in a new object. You will have also learned how to accumulate data using a list comprehension.

4 horas para completar

13 videos (Total 75 minutos), 5 lecturas, 3 cuestionarios

13 videos

Introduction - Map and Filter1m

Map11m

Filter8m

Conclusion - Map and Filter2m

Introduction - List Comprehensions1m

List Comprehensions9m

List Comprehensions Example 17m

List Comprehensions Example 29m

Conclusion - List Comprehensions1m

Introduction - Zip40s

Zip7m

The Hangman Blanked Function13m

Conclusion - Zip1m

5 lecturas

Introduction: Map, Filter, List Comprehensions, and Zip10m

Map10m

Filter10m

List Comprehensions10m

Zip10m

1 ejercicio de práctica

Optional - What Did You Use to Practice This Week?4m

Semana

Semana 3

6 horas para completar

Internet APIs

In week three you will learn how to request data from the internet using Application Programming Interfaces (APIs). By the end of the week, you will have learned how to access data from a few APIs, cache data that you have requested, and also learned how to read and work with other APIs that were not touched on in the module.

6 horas para completar

21 videos (Total 118 minutos), 14 lecturas, 2 cuestionarios

21 videos

Introduction - REST APIs2m

URLs, Domain Names, and IP Addresses5m

Routing3m

HTTP: Behind the Scenes5m

URL Query Parameters3m

REST API URLs3m

The requests Module5m

Conclusion - REST APIs2m

Introduction - Using REST APIs1m

Generating URLs with requests.get5m

Reading API Documentation: Datamuse7m

Debugging Calls to requests.get5m

Caching Response Content8m

The requests_with_caching Module8m

Conclusion - Using REST APIs1m

Introduction - Practice with REST APIs49s

iTunes API7m

flickr API15m

Conclusion - Practice with REST APIs1m

Fun with the Google Places API19m

Introduction - Final Course Project2m

14 lecturas

The Internet: Behind the Scenes10m

Anatomy of URLs10m

The HTTP Protocol10m

Using REST APIs10m

Fetching a Page10m

Generating URLs with requests.get10m

Figuring Out How to Use a REST API10m

Debugging Calls to requests.get10m

Caching Response Content10m

Searching for Media on iTunes10m

Searching for tags on Flickr10m

Unicode for Non-English Characters10m

Course Feedback10m

Keep Learning with Michigan Online10m

Reseñas

4.7

595 reseña

5 stars
76,85 %
4 stars
17,56 %
3 stars
4,18 %
2 stars
0,70 %
1 star
0,67 %

Principales reseñas sobre DATA COLLECTION AND PROCESSING WITH PYTHON

por JA26 de feb. de 2021

I thoroughly enjoyed using the Runestone tool to immediately test my knowledge after presenting new concepts, and especially when completing the exercises at the end of each chapter.

por JA10 de feb. de 2020

Excellent understunding of programming. Advanced concepts such list comprenhension, map and zip make me review my way of thinking, producing better and shorten coding. Thxs to the Instructors.

por SH14 de oct. de 2020

The class is very basic. Excellent for people without a programming background. Slow for those who do, but you can skip through concepts you already understand. The exercises are very useful.

por EV16 de may. de 2020

I thoroughly enjoyed this course, and found myself often looking forward to Prof. Resnick's jokes. I also came to see the beauty and simplicity of Python. Great course. Great language.

Ver todas las reseñas

Acerca de Programa especializado: Python 3 Programming

This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python. But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.

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Data Collection and Processing with Python

Acerca de este Curso