Data Processing using Python Collections

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Use the Python CSV DictReader to extract the field names from the CSV file.

Create a Python Student class with fields obtained from the DictReader.

Use the Python Counter to find the three most common test scores.

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

By the end of this project you will use the Python Collections Counter, the CSV package's DictReader, and the Collections UserList to read student test data and find the most common test scores. The Python Collection classes are convenience classes that make it easier to process data and extend capabilities of existing classes. The CSV package's DictReader is convenient for reading columnar data. The UserList allows the developer to add functionality to the List, for example to check types. The Counter class is useful for counting common occurrences in arrays and other structures. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Python CSV Reader
  • Python Collections
  • Collections Counter
  • Python DictReader
  • Python UserList

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Extend the Python Collections UserList class to include a type checker.

  2. Use the Python CSV DictReader to extract the field names from the CSV file.

  3. Create a Python Student class with fields obtained from the DictReader.

  4. Create a Python function to populate the Student UserList from the CSV file.

  5.  Use the Python Counter to find the three most common test score values.

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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