Running pandas in google colab: a quick introduction
Google Colab can be found here replete with python code for iris dataset:
https://sites.google.com/view/vinegar...
pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free and google colab comes without needing a subscription for individual usage. Here we use the iris dataset to provide a relatively fast overview. We show how to install pandas in google colab. How to activate the pandas package. For a deeper appraisal of pandas operations you might check here:
• pandas for nycflights13 with regex
We also explain the iris dataset providing some images for petals and sepals distinguishing both. We also consider the different iris classes -- Setosa, Versicolour and Iris Virginica
Attribute Information:
1. sepal length in cm
2. sepal width in cm
3. petal length in cm
4. petal width in cm
5. class:
-- Iris Setosa
-- Iris Versicolour
-- Iris Virginica