Este curso forma parte de Programa especializado: Python 3 Programming

4.8
estrellas
4,927 calificaciones

97 %

Paul Resnick +1 instructores más

98.733 ya inscrito

Ofrecido Por

Parte del título de grado Master of Applied Data Science
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Programa especializado: Python 3 ProgrammingUniversidad de Míchigan

Acerca de este Curso

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This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
The course is well-suited for you if you have already taken the "Python Basics" course and want to gain further fundamental knowledge of the Python language. Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs.

This is a follow-up to the "Python Basics" course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.

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Curso 2 de 5 en

Programa especializado: Python 3 Programming

Nivel principiante

Aprox. 31 horas para completar

Inglés (English)

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Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

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100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 2 de 5 en

Programa especializado: Python 3 Programming

Nivel principiante

Aprox. 31 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

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Instructores

Calificación del instructor

4,81/5 (695 calificaciones)

Paul Resnick

Michael D. Cohen Collegiate Professor

School of Information

400.691 alumnos

9 cursos

Steve Oney

Assistant Professor

School of Information

394.250 alumnos

8 cursos

Ofrecido por

Universidad de Míchigan

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Este curso es parte del Master of Applied Data Science completamente en línea de Universidad de Míchigan. Si te aceptan en el programa completo, tus cursos cuentan para tu título de grado.

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Programa - Qué aprenderás en este curso

Calificación del contenido97%(20,370 calificaciones)

Semana

Semana 1

6 horas para completar

Files and CSV Output

6 horas para completar

14 videos (Total 88 minutos), 15 lecturas, 3 cuestionarios

14 videos

Introduction to the Specialization11m

Welcome to Python Functions, Files, and Dictionaries2m

How to Use the Interactive Textbook14m

Introduction: Files1m

Reading a File9m

Finding a File in Your File System6m

Writing to a File7m

Using With to Open Files5m

Conclusion: Files1m

Introduction: .csv Format3m

Reading a .csv File8m

Writing Data to a .csv File10m

Tips on File Naming2m

Conclusion: .csv Format1m

15 lecturas

Syllabus10m

Help Us Learn More About You!10m

Syllabus10m

Introduction: Working with Data Files10m

Reading a File10m

Alternative File Reading Methods10m

Iterating Over Lines in a File10m

Finding a File in your File System10m

Writing to a File10m

Using With to Open Files10m

Recipe for Reading and Processing a File10m

CSV Format10m

Reading a .csv File10m

Writing Data to a .csv File10m

Tips on Handling Files10m

1 ejercicio de práctica

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

Semana

Semana 2

6 horas para completar

Dictionaries and Dictionary Accumulation

6 horas para completar

10 videos (Total 77 minutos), 9 lecturas, 4 cuestionarios

10 videos

Dictionaries8m

Demonstration: Dictionary Basics4m

Dictionary Operations7m

Dictionary Methods12m

Demonstration: Dictionary Methods3m

Aliasing and Copying with Dictionaries3m

Dictionary Accumulation13m

Demonstration: Dictionary Accumulation5m

Accumulating Results From a Dictionary12m

Demonstration: Accumulating Results From a Dictionary7m

9 lecturas

Introduction: Dictionary Learning Goals10m

Introduction: Dictionaries10m

Dictionary Operations10m

Dictionary Methods10m

Aliasing and Copying10m

Introduction: Accumulating Multiple Results in a Dictionary10m

Accumulating Results From a Dictionary10m

Accumulating the Best Key10m

When to Use a Dictionary10m

1 ejercicio de práctica

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

Semana

Semana 3

8 horas para completar

Functions and Tuples

In week three you will be introduced to the construction of functions. Up to this point, you have used functions in the programs before, but have not had a chance to write your own functions, including how to define a function, how to incorporate parameters, how to return data from a function, the local or global scope of variables, and potential side effects that could occur from function execution. Finally, we look at tuples more in depth, and how automatic packing and unpacking of tuples can be used in functions and in for loops.

8 horas para completar

16 videos (Total 81 minutos), 19 lecturas, 4 cuestionarios

16 videos

Introduction: Functions58s

Defining Functions5m

Positional Parameter Passing6m

Returning Values12m

Way of the Programmer: Decoding a Function4m

A Function that Accumulates8m

Conclusion: Functions59s

Introduction: Variable Scoping and Side Effects48s

Local and Global Variables9m

Function Composition10m

Mutable Objects and Side Effects5m

Conclusion: Variable Scoping and Side Effects1m

Introduction: Tuple Packing and Unpacking40s

Tuple Packing3m

Tuple Assignment with Unpacking8m

Conclusion: Tuple Packing and Unpacking39s

19 lecturas

Introduction to Functions10m

Function Definition10m

Function Invocation10m

Function Parameters10m

Returning a Value from a Function10m

Decoding a Function10m

A Function that Accumulates10m

Local Variables10m

Global Variables10m

Function Composition10m

Flow of Execution Summary10m

Print vs. Return10m

Passing Mutable Objects10m

Side Effects10m

Introduction10m

Tuple Packing10m

Tuples as Return Values10m

Tuple Assignment with Unpacking10m

Unpacking Into Iterator Variables10m

1 ejercicio de práctica

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

Semana

Semana 4

6 horas para completar

More Iteration and Advanced Functions

In week four the video lectures and the Runestone textbook will outline a more advanced iteration mechanism, the while loop. You will be introduced to using it when getting feedback from users, as well as applying it to the turtle module to draw images. Additionally, you will also be exposed to more advanced function concepts such as the idea of parameters being optional, not required, and anonymous functions using lambda.

6 horas para completar

7 videos (Total 49 minutos), 10 lecturas, 4 cuestionarios

7 videos

The While Statement14m

The Listener Loop7m

Break and Continue5m

Way of the Programmer: Infinite Loops4m

Optional Parameters4m

Keyword Parameters7m

Anonymous Functions with Lambda Expressions5m

10 lecturas

Introduction10m

The While Statement10m

The Listener Loop10m

Randomly Walking Turtles10m

Break and Continue10m

Infinite Loops10m

Introduction: Optional Parameters10m

Keyword Parameters10m

Anonymous Function with Lambda Expressions10m

Programming With Style10m

1 ejercicio de práctica

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

Reseñas

4.8

799 reseña

5 stars
87,01 %
4 stars
11,44 %
3 stars
1,15 %
2 stars
0,14 %
1 star
0,24 %

Principales reseñas sobre PYTHON FUNCTIONS, FILES, AND DICTIONARIES

por ED7 de ene. de 2020

Very nice course, it could be a little bit challenging if you have no programming experience, but if you have done the past course and you put your attention you will definitely be able to pass it.

por AD29 de jun. de 2022

Course Material and exercises provide excellent understanding and practice. I experienced some difficulty in the final project but that can be cleared once you consult the discussion forums.

por NS15 de jul. de 2020

Concept clarity provided by the amazing faculty is very good. The only areas of improvement would be in increasing the no of questions and also raising the difficulty of assessments.

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.

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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Python Functions, Files, and Dictionaries

Acerca de este Curso