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.
Ce cours fait partie de la Spécialisation Le Python pour tous
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À propos de ce cours
Résultats de carrière des étudiants
22%
30%
Ce que vous allez apprendre
Explain the principles of data structures & how they are used
Create programs that are able to read and write data from files
Store data as key/value pairs using Python dictionaries
Accomplish multi-step tasks like sorting or looping using tuples
Compétences que vous acquerrez
- Python Syntax And Semantics
- Data Structure
- Tuple
- Python Programming
Résultats de carrière des étudiants
22%
30%
Offert par

Université du 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.
Programme de cours : ce que vous apprendrez dans ce cours
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.
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.
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.
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".
Avis
- 5 stars87,56 %
- 4 stars11,30 %
- 3 stars0,90 %
- 2 stars0,12 %
- 1 star0,10 %
Points forts
Meilleurs avis pour STRUCTURE DE DONNÉES PYTHON
It is a very good course with assignment videos, Teaching materials, and Hands-on activity. In the other course, you can't get such type of facilities. In my opinion, it is worth your time and money.
I love the way Dr. Chuck interacts with the students even though its an online class. Nor do I know him personally neither does he know me. But he makes this class interesting. Hats off to Dr. Chuck!
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
Careful and deliberate coverage of Python's data structures. Use of the accompanying book provides additional detail beyond the lectures as well as further practice in the use of the data structures.
À propos du Spécialisation Le Python pour tous
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.

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