# Intro to Data Analysis With Pandas & Numpy

from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-fa18-learn-numpy-pandas").exists():
DATA_DIR /= "ucfai-core-fa18-learn-numpy-pandas"
else:
# You'll need to download the data from Kaggle and place it in the data/
#   directory beside this notebook.
# The data should be here: https://kaggle.com/c/ucfai-core-fa18-learn-numpy-pandas/data
DATA_DIR = Path("data")


## Other Meetings in this Series

#### Welcome Back! Featuring Plotting & Supercomputers

Welcome back to SIGAI! We'll be re-introducing SIGAI for newcomers and refreshing it for veterans. Following that, we'll cover some basics of generating graphs (a very common task for data science and research). If you're enticed, we'll also get you setup on the university's supercomputer, as all following meetings will stream from there! :smiley: