À propos de ce cours : This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
Les destinataires de ce cours : This class is for people who have have the background from our Python Data Representations course.
Créé par : Rice University
Enseigné par : Scott Rixner, Professor
Computer ScienceEnseigné par : Joe Warren, Professor
Computer Science
| Informations de base | Cours 3 de 4 dans Introduction to Scripting in Python Specialization |
| Niveau | Débutant |
| Engagement | This is a four week class with an expected workload of 5-7 hours per week. |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
Dictionaries
This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.
7 vidéos, 2 lectures
- Vidéo: Class Structure
- Vidéo: Python Dictionaries
- Vidéo: Defining a Dictionary
- Vidéo: Dictionary Lookup and Update
- Vidéo: Checking Keys
- Reading: Dictionaries - Example
- Vidéo: Handling Dictionary Errors
- Reading: Practice Exercises for Dictionaries
Noté: Dictionaries
SEMAINE 2
Tabular Data and Nested Data Structures
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
4 vidéos, 2 lectures
- Reading: Tabular Data
- Vidéo: Tabular Data as a Nested List
- Vidéo: Tabular Data as a Nested Dictionary
- Vidéo: Displaying Dictionaries
- Reading: Practice Exercises for Nested Data Structures
Noté: Nested Representations for Tabular Data
SEMAINE 3
Tabular Data and CSV Files
This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python's csv module to help you access tabular data in CSV files.
8 vidéos, 4 lectures
- Reading: CSV Files
- Vidéo: Parsing CSV Files
- Vidéo: Python's CSV Module
- Vidéo: CSV DictReader
- Vidéo: CSV Reader Options
- Vidéo: Experimenting with CSV Methods - Part 1
- Vidéo: Experimenting with CSV Methods - Part 2
- Reading: Practice Project: Loading Cancer-Risk Data
- Vidéo: Project Video for Part 1
- Reading: Project Description: Reading and Writing CSV Files
- Reading: OwlTest: Automated Feedback and Assessment
- LTI Item: Project Submission History
Noté: Project: Reading and Writing CSV Files
SEMAINE 4
Organizing Data
This module will teach you how to sort data in Python. You will organize and analyze tabular data.
6 vidéos, 3 lectures
- Vidéo: Lambda
- Vidéo: Advanced Sorting
- Reading: Dictionaries vs. Lists for storing data
- Vidéo: Refactoring Your Code - Part 1
- Vidéo: Refactoring Your Code - Part 2
- Reading: Practice Project: Processing Cancer-Risk Data
- Vidéo: Project Video for Part 2
- Reading: Project Description: Analyzing Baseball Data
Noté: Project: Analyzing Baseball Data
FAQ
Comment cela fonctionne
Coursework
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Créateurs
Rice University
Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
Really good lecturing and real stuff learned!
Really good stuff.
This is an excellent program. I have written most complicated and exciting Python programs, I have ever thought that I could write!
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The reading and writing file csv file part is difficult, especially reading data into dictionary part.