Discover and read the best of Twitter Threads about #datawrangling
Most recents (2)
1/ #Pandas is the go-to library that you need for #datawrangling for your #datascience projects when coding in #Python.
👀🧵👇 See thread below
👀🧵👇 See thread below
2/ Why Do We Need Pandas?
The Pandas library has a large set of features that will allow you to perform tasks from the first intake of raw data, its cleaning and transformation to the final curated form in order to validate hypothesis testing and machine learning model building.
The Pandas library has a large set of features that will allow you to perform tasks from the first intake of raw data, its cleaning and transformation to the final curated form in order to validate hypothesis testing and machine learning model building.
3/ Basics of Pandas - 1. Pandas Objects
Pandas allows us to work with tabular datasets. The basic data structures of Pandas that consists of 3 types: Series, DataFrame and DataFrameIndex. The first 2 are data structures while the latter serves as a point of reference.
Pandas allows us to work with tabular datasets. The basic data structures of Pandas that consists of 3 types: Series, DataFrame and DataFrameIndex. The first 2 are data structures while the latter serves as a point of reference.
Hoy voy a estar cubriendo #EnVivo la #WiDS2020, la conferencia de #DataScience organizada por @MeTCBaOk. Entérate de todo en este hilo 👇🏻 
Primero lo primero: ¿escuchaste alguna vez hablar de #DataScience? #WiDS2020
Si no escuchaste nunca hablar de esta disciplina, este video de @uxtipsonline ofrece una explicación breve y concreta sobre qué es #DataScience #WiDS2020
