Informações sobre o curso: 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.
Para quem é direcionado este curso: This class is for people who have have the background from our Python Data Representations course.
Desenvolvido por: Rice University
Ministrado por: Scott Rixner, Professor
Computer Science
Ministrado por: Joe Warren, Professor
Computer Science
| Informações básicas | Curso 3 de 4 no Introduction to Scripting in Python Specialization |
| Nível | Beginner |
| Compromisso | This is a four week class with an expected workload of 5-7 hours per week. |
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 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 videos, 2 readings
- Vídeo: Class Structure
- Vídeo: Python Dictionaries
- Vídeo: Defining a Dictionary
- Vídeo: Dictionary Lookup and Update
- Vídeo: Checking Keys
- Reading: Dictionaries - Example
- Vídeo: Handling Dictionary Errors
- Reading: Practice Exercises for Dictionaries
Nota atribuída: Dictionaries
SEMANA 2
Tabular Data and Nested Data Structures
This module will teach you about storing tabular data within Python programs using lists and dictionaries.
4 videos, 2 readings
- Reading: Tabular Data
- Vídeo: Tabular Data as a Nested List
- Vídeo: Tabular Data as a Nested Dictionary
- Vídeo: Displaying Dictionaries
- Reading: Practice Exercises for Nested Data Structures
Nota atribuída: Nested Representations for Tabular Data
SEMANA 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 videos, 4 readings
- Reading: CSV Files
- Vídeo: Parsing CSV Files
- Vídeo: Python's CSV Module
- Vídeo: CSV DictReader
- Vídeo: CSV Reader Options
- Vídeo: Experimenting with CSV Methods - Part 1
- Vídeo: Experimenting with CSV Methods - Part 2
- Reading: Practice Project: Loading Cancer-Risk Data
- Vídeo: Project Video for Part 1
- Reading: Project Description: Reading and Writing CSV Files
- Reading: OwlTest: Automated Feedback and Assessment
- LTI Item: Project Submission History
Nota atribuída: Project: Reading and Writing CSV Files
SEMANA 4
Organizing Data
This module will teach you how to sort data in Python. You will organize and analyze tabular data.
6 videos, 3 readings
- Vídeo: Lambda
- Vídeo: Advanced Sorting
- Reading: Dictionaries vs. Lists for storing data
- Vídeo: Refactoring Your Code - Part 1
- Vídeo: Refactoring Your Code - Part 2
- Reading: Practice Project: Processing Cancer-Risk Data
- Vídeo: Project Video for Part 2
- Reading: Project Description: Analyzing Baseball Data
Nota atribuída: Project: Analyzing Baseball Data
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Rice University
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Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
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