28. All about Python Dataframes

In this tutorial, we will be learning about some of the most frequently used dataframe operations in Python.

Timestamp :
00:00 Introduction
01:00 Creating a dataframe
01:50 Generating random numbers
02:23 Generating random characters
02:40 Using string library for generating ascii characters
03:25 random.choice
03:52 For loop
04:30 List comprehension
06:15 Top 5 and bottom 5 records
06:46 Dataframe Data types
07:23 Dataframe shape (number of rows and columns in a dataframe)
07:36 How to insert a row in a dataframe ?
08:10 How to create a Series using pandas ?
09:37 Append a dataframe
09:58 ignore_index parameter in append function
10:50 How to add a column in a dataframe ?
11:45 Read the column names in a dataframe
12:00 Indexing, Slicing of columns in a dataframe
12:32 loc and iloc
15:09 How to change the column names in a dataframe ? (some columns / all columns)
17:25 inplace parameter
18:17 How to filter the data ? (single condition / multiple conditions)
21:05 How to save the dataframe into a csv file ?
22:02 How to remove the index from a dataframe ?
22:42 How to read a csv file using pandas ?
23:30 Freely available datasets in Python
24:22 set_option parameter in pandas
25:20 How to read a built-in dataset in python ?

This tutorial is part of the below playlist "Excel in R and Python":
https://www.youtube.com/watch?v=Tplgk...