Pandas!
What the heck is Pandas? A cute high-fiving bear?
In this case, Pandas is a two-dimensional data-frame used in the Jupyter Environment
From the Anaconda Prompt explore and activate Conda:
conda env list
conda activate c:\users\Thund\desktop\sample_project_1\env
Jupyter notebook
Making a data frame from scratch:
(note: axis = 0 refers to rows, axis = 1, 2, 3… refers to the column number)
Importing and Exporting Dataframes:
(note: another great feature of pandas is being able to import .csv files directly from a URL. Ex: heart_disease = pd.read_csv(“https://raw.githubusercontent.com/mrdbourke/zero-to-mastery-ml/master/data/heart-disease.csv")
At this point we have successfully created a data series in Pandas Dataframes, imported data, and exported data.