Acerca de este curso: This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
Creada por: University of Michigan
Enseñado por: Charles Severance, Associate Professor
School of Information
| Información básica | Curso 2 de 5 en Python for Everybody Specialization |
| Compromiso | 2-4 hours/week |
| Idioma | English, Subtítulos: Chinese (Simplified) |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 1
Chapter Six: Strings
In this class, we pick up where we left off in the previous class, starting in Chapter 6 of the textbook and covering Strings and moving into data structures. The second week of this class is dedicated to getting Python installed if you want to actually run the applications on your desktop or laptop. If you choose not to install Python, you can just skip to the third week and get a head start.
7 videos, 7 lecturas
- Reading: Reading: Welcome to Python Data Structures
- Reading: Help Us Learn More About You!
- Reading: Textbook
- Reading: Welcome to Python 3
- Reading: Submitting Assignments
- Vídeo: 6.1 - Strings
- Vídeo: 6.2 - Manipulating Strings
- Reading: Notice for Auditing Learners: Assignment Submission
- Vídeo: Worked Exercise: 6.5
- Vídeo: Bonus: Office Hours New York City
- Vídeo: Bonus: Monash Museum of Computing History
- Vídeo: Fun: The Textbook Authors Meet @PyCon
- Reading: Audio Versions of All Lectures
Calificado: Chapter 6 Quiz
Calificado: Assignment 6.5
SEMANA 2
Unit: Installing and Using Python
In this module you will set things up so you can write Python programs. We do not require installation of Python for this class. You can write and test Python programs in the browser using the "Python Code Playground" in this lesson. Please read the "Using Python in this Class" material for details.
5 videos, 2 lecturas
- Reading: Important Reading: Using Python in this Class
- Reading: Notes on Choice of Text Editor
- LTI Item: Python Code Playground
- Vídeo: Windows 10: Installing Python and Writing A Program
- Vídeo: Windows: Taking Screen Shots
- Vídeo: Macintosh: Using Python and Writing A Program
- Vídeo: Macintosh: Taking Screen Shots
- Revisión por el compañero: Optional- Installing Python Screen Shots
SEMANA 3
Chapter Seven: Files
Up to now, we have been working with data that is read from the user or data in constants. But real programs process much larger amounts of data by reading and writing files on the secondary storage on your computer. In this chapter we start to write our first programs that read, scan, and process real data.
5 videos, 1 lectura
- Vídeo: 7.2 - Processing Files
- Vídeo: Demonstration: Worked Exercise 7.1
- Reading: Where is the 7.2 worked exercise?
- Vídeo: Bonus: Office Hours Barcelona
- Vídeo: Bonus: Gordon Bell - Building Blocks of Computing
Calificado: Chapter 7 Quiz
Calificado: Assignment 7.1
Calificado: Assignment 7.2
SEMANA 4
Chapter Eight: Lists
As we want to solve more complex problems in Python, we need more powerful variables. Up to now we have been using simple variables to store numbers or strings where we have a single value in a variable. Starting with lists we will store many values in a single variable using an indexing scheme to store, organize, and retrieve different values from within a single variable. We call these multi-valued variables "collections" or "data structures".
7 videos
- Vídeo: 8.2 - Manipulating Lists
- Vídeo: 8.3 - Lists and Strings
- Vídeo: Fun: Python Lists in Paris
- Vídeo: Worked Exercise: Lists
- Vídeo: Bonus: Office Hours - Chicago
- Vídeo: Bonus: Rasmus Lerdorf - Inventing the PHP Language
Calificado: Chapter 8 Quiz
Calificado: Assignment 8.4
Calificado: Assignment 8.5
SEMANA 5
Chapter Nine: Dictionaries
The Python dictionary is one of its most powerful data structures. Instead of representing values in a linear list, dictionaries store data as key / value pairs. Using key / value pairs gives us a simple in-memory "database" in a single Python variable.
7 videos
- Vídeo: 9.2 - Counting with Dictionaries
- Vídeo: 9.3 - Dictionaries and Files
- Vídeo: Worked Exercise: Dictionaries
- Vídeo: Bonus: Office Hours - Amsterdam
- Vídeo: Bonus: Brendan Eich - Inventing Javascript
- Vídeo: Fun: Dr. Chuck Goes Motocross Racing
Calificado: Chapter 9 Quiz
Calificado: Assignment 9.4
SEMANA 6
Chapter Ten: Tuples
Tuples are our third and final basic Python data structure. Tuples are a simple version of lists. We often use tuples in conjunction with dictionaries to accomplish multi-step tasks like sorting or looping through all of the data in a dictionary.
6 videos
- Vídeo: Worked Exercise: Tuples and Sorting
- Vídeo: Bonus: Office Hours - Puebla, Mexico
- Vídeo: Bonus: John Resig - Inventing JQuery
- Vídeo: Douglas Crockford: JavaScript Object Notation (JSON)
- Vídeo: Fun: The Greatest Taco in the World
Calificado: Chapter 10 Quiz
Calificado: Assignment 10.2
SEMANA 7
Graduation
To celebrate your making it to the halfway point in our Python for Everybody Specialization, we welcome you to attend our online graduation ceremony. It is not very long, and it features a Commencement speaker and very short commencement speech.
1 video, 2 lecturas
- Reading: Please Rate this Course on Class-Central
- Reading: Post-Course Survey
Preguntas Frecuentes
Cómo funciona
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
Creadores
University of Michigan
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
This course gave me in depth understanding of the concepts in Python Data Structures.
The course is designed in a progressive manner and is well-taught by the instructor.
I'd great time learning new concepts and adding them to my skill-set.
really good. basic structures is shown.
Great course that let us know how to implement data structure on file data.Every where else they teach use of list on some random ,less complex data.But here they teach us to use list,tuples and dictionary on complex data.
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you'll start to really get into python specific stuff here!