1. Reading Files into jupyter notebooks using pandas - Used pd.read_csv to read csv files, pd.read_table to read text files, pd.read_json to read json files, pd.read_excel to read excel files and also specify a sheet name to read.
2. Filtering and ordering data - Used rank, isin, contains, set_index, filter, iloc and loc to filter the data and sort_values to arrange data in certain ways i.e. acending, descending.
3. Indexing: Selecting and filtering data
4. GroupBy: Grouping data based on one or more keys
5. Aggregation: Calculating summary statistics on grouped data