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.
Este curso forma parte de Programa Especializado - Python for Everybody
Python Data Structures
ofrecido por
Acerca de este Curso
4.9
25,861 calificaciones
Qué aprenderás
Accomplish multi-step tasks like sorting or looping using tuples
Create programs that are able to read and write data from files
Explain the principles of data structures & how they are used
Store data as key/value pairs using Python dictionaires
Habilidades que obtendrás
Python Syntax And SemanticsData StructureTuplePython Programming
Programa - Qué aprenderás en este curso
Semana
1Chapter 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 (Total 57 min), 7 readings, 2 quizzes
7 videos
6.1 - Strings15m
6.2 - Manipulating Strings17m
Worked Exercise: 6.58m
Bonus: Office Hours New York City2m
Bonus: Monash Museum of Computing History7m
Fun: The Textbook Authors Meet @PyCon3m
7 lecturas
Reading: Welcome to Python Data Structures10m
Help Us Learn More About You!10m
Textbook10m
Welcome to Python 310m
Submitting Assignments10m
Notice for Auditing Learners: Assignment Submission10m
Audio Versions of All Lectures10m
1 ejercicio de práctica
Chapter 6 Quiz20m
Semana
2Unit: 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 (Total 23 min), 2 readings, 2 quizzes
5 videos
Windows 10: Installing Python and Writing A Program8m
Windows: Taking Screen Shots2m
Macintosh: Using Python and Writing A Program4m
Macintosh: Taking Screen Shots4m
2 lecturas
Important Reading: Using Python in this Class10m
Notes on Choice of Text Editor10m
Semana
3Chapter 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 (Total 46 min), 1 reading, 3 quizzes
5 videos
7.2 - Processing Files11m
Demonstration: Worked Exercise 7.19m
Bonus: Office Hours Barcelona1m
Bonus: Gordon Bell - Building Blocks of Computing15m
1 lectura
Where is the 7.2 worked exercise?10m
1 ejercicio de práctica
Chapter 7 Quiz20m
Semana
4Chapter 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 (Total 48 min), 3 quizzes
7 videos
8.1 - Lists10m
8.2 - Manipulating Lists9m
8.3 - Lists and Strings7m
Fun: Python Lists in Parism
Worked Exercise: Lists11m
Bonus: Office Hours - Chicagom
Bonus: Rasmus Lerdorf - Inventing the PHP Language7m
1 ejercicio de práctica
Chapter 8 Quiz20m
26%
comenzó una nueva carrera después de completar estos cursos
83%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Principales revisiones
Aspectos destacados
Excellent instructor
(503)Helpful assignments
(254)por PM•Oct 8th 2017
assignment 9.4 auto grader not working .\n\nLTI unable to launch.\n\nerror message: This tool should be launched from a learning system using LTI.\n\ni am using chrome on mac book air 2 and python 3.6
por JL•Feb 1st 2017
Challenging for someone with zero experience with coding. Took a fairly long time to grind through the first two courses in the specialisation, but the lectures and course material were very helpful.
Instructor
Charles Severance
Associate ProfessorSchool of Information
Acerca de 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.
Acerca del programa especializado Python for Everybody
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿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.
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