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 faz parte do Programa de cursos integrados Python para todosPython para todos
Estruturas de dados - Python
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Informações sobre o curso
4.9
30,132 classificações
O que você vai aprender
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 você terá
Python Syntax And SemanticsData StructureTuplePython Programming
Programa - O que você aprenderá com este curso
Semana
13 horas para concluir
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 vídeos (total de (Total 57 mín.) min), 7 leituras, 2 testes
7 videos
6.1 - Strings15min
6.2 - Manipulating Strings17min
Worked Exercise: 6.58min
Bonus: Office Hours New York City2min
Bonus: Monash Museum of Computing History7min
Fun: The Textbook Authors Meet @PyCon3min
7 leituras
Reading: Welcome to Python Data Structures10min
Help Us Learn More About You!10min
Textbook10min
Welcome to Python 310min
Submitting Assignments10min
Notice for Auditing Learners: Assignment Submission10min
Audio Versions of All Lectures10min
1 exercício prático
Chapter 6 Quiz20min
Semana
24 horas para concluir
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 vídeos (total de (Total 23 mín.) min), 2 leituras, 2 testes
5 videos
Windows 10: Installing Python and Writing A Program8min
Windows: Taking Screen Shots2min
Macintosh: Using Python and Writing A Program4min
Macintosh: Taking Screen Shots4min
2 leituras
Important Reading: Using Python in this Class10min
Notes on Choice of Text Editor10min
Semana
33 horas para concluir
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 vídeos (total de (Total 46 mín.) min), 1 leitura, 3 testes
5 videos
7.1 - Files8min
7.2 - Processing Files11min
Demonstration: Worked Exercise 7.19min
Bonus: Office Hours Barcelona1min
Bonus: Gordon Bell - Building Blocks of Computing15min
1 leituras
Where is the 7.2 worked exercise?10min
1 exercício prático
Chapter 7 Quiz20min
Semana
43 horas para concluir
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 vídeos (total de (Total 48 mín.) min), 3 testes
7 videos
8.1 - Lists10min
8.2 - Manipulating Lists9min
8.3 - Lists and Strings7min
Fun: Python Lists in Paris37s
Worked Exercise: Lists11min
Bonus: Office Hours - Chicago42s
Bonus: Rasmus Lerdorf - Inventing the PHP Language7min
1 exercício prático
Chapter 8 Quiz20min
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(254)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
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!
Instrutores
Charles Severance
ProfessorSchool of Information
Sobre Universidade de 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.
Sobre o Programa de cursos integrados Python para todosPython 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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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