Why use Pandas?
Lesson 1 of 19 in Coddy's Pandas Analytics course.
The Pandas Python package makes data analysis clear and engaging. The power of the library assures versatility, while its readability makes data easier to interpret. This feature makes it possible to handle a variety of data types—both organized and unstructured—with ease.
Additionally, Pandas' complete set of data manipulation tools enables reading, writing, and altering data with a few straightforward instructions in a variety of file formats. Its interoperability is further enhanced by the way it gets along well with other Python libraries.
This course aims to assist you in using Pandas for effective data interpretation and analysis.
To use the pandas module import it:
import pandas as pdTry it yourself
This lesson doesn't include a code challenge.
All lessons in Pandas Analytics
4Data Analysis with Pandas
Descriptive StatisticsGrouping and Aggregating DataDifferent AggregationsMerge & Concat2Working with the DataFrame
Understanding DataFramesAccessing DataData Cleaning - Missing dataData Cleaning - More tools3Data Manipulation with Pandas
Return Requested ResultFilter DataAdd & DeleteModify DataModify StringsCustom Modifications