Pandas Tutorial in Python | Pandas Crashcourse

In this pandas tutorial using python, you get an understanding of the different concepts of the panda's library.
Pandas is an open-sourced Python library built on top of the NumPy package and is mainly used for data manipulation and analysis. To know more about the different topics covered in this video, check out the timeline below.

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Timeline:
00:00 Introduction
01:04 how to install pandas
01:23 how to import pandas library
02:06 how to import data into jupyter notebook
03:06 how to load data from a directory on the system
04:24 using the head function
05:12 using tail function
05:39 how to get the dimension of the dataset
06:18 getting info about the dataset
06:47 how to check for duplicate values
08:23 how to remove duplicate entries
09:05 finding the null values
09:56 how to get the column names in a dataset
10:16 how to drop a column from a dataset
11:32 using fillna function
12:03 how to find the unique entries in a column
12:47 using the value counts function to return unique entries along with their values
13:20 replacing null values with mode
14:07 replacing null values with a value
15:06 using forward fill and backward fill
18:00 using describe method to get the statistical values
18:42 n largest and n smallest
19:11 groupby function
20:00 loc and iloc
28:26 saving the data as csv / xlsx format
29:49 creating series
30:16 creating series from list
31:04 creating series from ndarray
31:40 creating series from dictionary
32:53 accessing elements in series
34:11 vector operation on series
36:47 creating dataframe from list
37:50 how to add a column to a dataframe
39:12 how to convert datatype of a column from object to datetime
39:51 creating dataframe from series
41:50 statistical functions on dataframe

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