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 para todos
Python Data Structures
ofrecido por
Acerca de este Curso
1,033,718 vistas recientes
Resultados profesionales del estudiante
31%
comenzó una nueva carrera después de completar estos cursos
32%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
12%
consiguió un aumento de sueldo o ascenso
Habilidades que obtendrás
Python Syntax And SemanticsData StructureTuplePython Programming
Resultados profesionales del estudiante
31%
comenzó una nueva carrera después de completar estos cursos
32%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
12%
consiguió un aumento de sueldo o ascenso
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 5 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 11 horas para completar
Sugerido: 2-4 hours/week
Inglés (English)
Subtítulos: Inglés (English), Coreano, Árabe (Arabic)
Programa - Qué aprenderás en este curso
3 horas para completar
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.
3 horas para completar
7 videos (Total 57 minutos), 7 lecturas, 2 cuestionarios
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
4 horas para completar
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.
4 horas para completar
5 videos (Total 23 minutos), 2 lecturas, 2 cuestionarios
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
3 horas para completar
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.
3 horas para completar
5 videos (Total 46 minutos), 1 lectura, 3 cuestionarios
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
3 horas para completar
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".
3 horas para completar
7 videos (Total 48 minutos)
7 videos
8.1 - Lists10m
8.2 - Manipulating Lists9m
8.3 - Lists and Strings7m
Fun: Python Lists in Paris37s
Worked Exercise: Lists11m
Bonus: Office Hours - Chicago42s
Bonus: Rasmus Lerdorf - Inventing the PHP Language7m
1 ejercicio de práctica
Chapter 8 Quiz20m
Revisiones
Aspectos destacados
"Helpful assignments" en 254 revisiones
"Excellent instructor" en 503 revisiones
Principales revisiones sobre PYTHON DATA STRUCTURES
por DANov 9, 2017
I feel incredible that I knew almost nothing about programming just a month ago. Now I have done two of the courses of the specialization and I can actually understand other basic codes. Great course!
por MEJul 18, 2019
This was a super-fun course! The materials were very easy to follow, and delivered in a very friendly and engaging manner. I highly recommend this course to anyone just getting started in programming.
por VRAug 17, 2017
i have learned what exact python is now on this stage i can program in python and i recommend everyone want to study about the python to take this course and experienced and really thanks to Dr. CHUCK
por PMOct 7, 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 HAJul 15, 2016
I really liked the course. I just wish it was more practice heavy and the lectures were broken up more and there were quizzes during the lectures to keep you engaged more and make it more interactive.
por PCAug 10, 2017
Very good course. However some data is served in too large chunks so it is hard to remember the stuff from videos without making a notes. I would recommend to write a code along when watching videos.
por CHNov 21, 2019
this class covered what i find to be very confusing topics. After this class i feel that i have a working knowledge of these topics. The class was challenging and the exercises were also challenging.
por JLJan 31, 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.
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.
Acerca de Programa especializado Python para todos
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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¿Hay ayuda económica disponible?
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