Data Cleaning / Exploration with Pycharm Community (Storing Variables after execution)

How do folks do data cleaning / exploration in the Pycharm environment?

With Jupyter, you can experiment, fix broken scripts, hold the dataframe/variables in memory, and etc.

How do you replicate this 'exploration-like' workflow in Pycharm?

Or, is data exploration more practical with Jupyter?

df = pd.read_csv('./way_huge_dataset_7_gig.csv)

# 10 slow cleaning function using pandas.apply

# Normalizing Scripts

# Run Time intensive Aggregate Grouping Script 

# 10 minute Kmeans Cluster

# Other stuff that takes too long

I'm really loving Pycharm--especially the debugger! Way better than Atom...which choked my macbook pro for the last time.

Much appreciation in advance