21 Lectures | 4hr : 27min
22 Lectures
What is Pandas python? Introduction and Installation
Dataframe Basics
Different Ways Of Creating DataFrame
Read Write Excel CSV File
Handle Missing Data: fillna, dropna, interpolate
Handle Missing Data: replace function
Group By (Split Apply Combine)
Concat Dataframes
Merge Dataframes
Pivot table
Reshape dataframe using melt
Stack Unstack
Crosstab
Read Write Data From Database (read_sql, to_sql)
DatetimeIndex and Resample
date_range
Holidays
to_datetime
Period and PeriodIndex
Timezone Handling
Shifting and Lagging
Memory Optimization Tips For Pandas