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01. Introduction to Pandas

1.1 Introduction to Pandas
1.2 Founder of Pandas
1.3 Why we use Pandas
1.4 How to Install and use Pandas
1.5 Prerequisite to Learn Pandas
1.6 Outline of this Course

02. Series

2.1 Creating a Series
2.2 Updating a Series
2.3 Accessing a Series
2.4 Series Operations

03. DataFrames

3.1 Creating a DataFrames
3.2 Updating a DataFrames
3.3 Different Way to Create DataFrames

04. CSV Files

4.1 Reading a CSV File
4.2 Editing a CSV File
4.3 Properties
4.4 Parameters and Functions

05. Handling Missing Values

5.1 na_values
5.2 keep_default_na
5.3 na_filter
5.4 isnull()
5.5 notnull()
5.6 dropna

06. The FillNA Method

6.1 Value
6.2 Fill Methods
6.3 Axis
6.4 Limit
6.5 Inplace

07. Replace Values

7.1 Replace Value
7.2 Regex
7.3 Fill Methods
7.4 Inplace

08. Interpolate Function

8.1 Method
8.2 Limit
8.3 Inplace

09. Data selection methods

9.1 loc
9.2 iloc

10. GroupBy Function

10.1 GroupBy
10.2 Set Group

11. Merge

11.1 What is Merge Function
11.2 Merge the Two DataFrames
11.3 What is 'How' Method
11.4 Implement Different 'How' Methods
11.5 Indicator Function
11.6 Left and Right Indexx
11.7 Suffixes to Rename Columns

12. Concatenation

12.1 Concat Function
12.2 Ignore Index
12.3 Axis
12.4 Join
12.5 Keys
12.6 Sort

13. Join

13.1 Join Function
13.2 Left Join
13.3 Right Join
13.4 Inner Join
13.5 Outer Join
13.6 Suffix

14. Pivot Table

14.1 Pivot Table - Index
14.2 Values
14.3 Aggfunc
14.4 Margins

15. Melt

15.1 ID Vars
15.2 Value Vars
15.3 Var Name
15.4 Value Name

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NumPy Complete Course by Aorb Tech

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