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InicioPythonIntroduction to Importing Data in Python

Introduction to Importing Data in Python

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

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Descripción del curso

As a data scientist, you will need to clean data, wrangle and munge it, visualize it, build predictive models, and interpret these models. Before you can do so, however, you will need to know how to get data into Python. In this course, you'll learn the many ways to import data into Python: from flat files such as .txt and .csv; from files native to other software such as Excel spreadsheets, Stata, SAS, and MATLAB files; and from relational databases such as SQLite and PostgreSQL.
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  1. 1

    Introduction and flat files

    Gratuito

    In this chapter, you'll learn how to import data into Python from all types of flat files, which are a simple and prevalent form of data storage. You've previously learned how to use NumPy and pandas—you will learn how to use these packages to import flat files and customize your imports.

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    Welcome to the course!
    50 xp
    Exploring your working directory
    50 xp
    Importing entire text files
    100 xp
    Importing text files line by line
    100 xp
    The importance of flat files in data science
    50 xp
    Pop quiz: examples of flat files
    50 xp
    Pop quiz: what exactly are flat files?
    50 xp
    Why we like flat files and the Zen of Python
    50 xp
    Importing flat files using NumPy
    50 xp
    Using NumPy to import flat files
    100 xp
    Customizing your NumPy import
    100 xp
    Importing different datatypes
    100 xp
    Working with mixed datatypes (1)
    50 xp
    Working with mixed datatypes (2)
    100 xp
    Importing flat files using pandas
    50 xp
    Using pandas to import flat files as DataFrames (1)
    100 xp
    Using pandas to import flat files as DataFrames (2)
    100 xp
    Customizing your pandas import
    100 xp
    Final thoughts on data import
    50 xp
  2. 2

    Importing data from other file types

    You've learned how to import flat files, but there are many other file types you will potentially have to work with as a data scientist. In this chapter, you'll learn how to import data into Python from a wide array of important file types. These include pickled files, Excel spreadsheets, SAS and Stata files, HDF5 files, a file type for storing large quantities of numerical data, and MATLAB files.

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En las siguientes pistas

Científico de datos asociado en PythonIngeniero de datos en PythonImportar y limpiar datos con Python

Colaboradores

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Francisco Castro

Requisitos Previos

Intermediate Python
Hugo Bowne-Anderson HeadshotHugo Bowne-Anderson

Data Scientist

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