Python Panda DataFrme Use this file: names.txt Write a Python script that reads this file into a dataframe.  Find the max and min age. Using the loc indexing operator, extract rows 2 & 3 ## Screenshot of names.txt attached

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Python Panda DataFrme

  • Use this file: names.txt
  • Write a Python script that reads this file into a dataframe. 
  • Find the max and min age.
  • Using the loc indexing operator, extract rows 2 & 3

## Screenshot of names.txt attached

File
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access
I
LI
➡7
Home
IFT 360
This PC
Quick access
Desktop
Downloads
Documents
Pictures
GRK
IFT 383
IFT 360
IFT 365
Screenshots
↑
8 items
3D Objects
Pictures
Videos
OS (C:)
Clipboard
Network
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Desktop
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Music
Share
OneDrive - Personal
Cut
IL.. Copy path
View
✰✰✰✰✰
Paste shortcut
Organize
> This PC > Desktop > SCHOOL > IFT 360
Move
to ▾
names.txt - Notepad
File Edit Format View Help
John
25
Madison 42
Steve 17
Alexa 58
30
Jeff
<
X
Copy Delete Rename
to ▾
1 item selected 50 bytes
Type here to search
Available on this device
D
At
New
folder
New item.
Easy access
New
Ln 1, Col 1
Properties
Open
Open
Edit
History
-
Select all
Select none
Invert selection
Select
100% Windows (CRLF)
O
I
UTF-8
✡
X
>
O
W
65°F
2
I
4) ENG
Search IFT 360
8:50 PM
8/27/2023
Transcribed Image Text:File Pin to Quick Copy access I LI ➡7 Home IFT 360 This PC Quick access Desktop Downloads Documents Pictures GRK IFT 383 IFT 360 IFT 365 Screenshots ↑ 8 items 3D Objects Pictures Videos OS (C:) Clipboard Network Paste Desktop Documents Downloads Music Share OneDrive - Personal Cut IL.. Copy path View ✰✰✰✰✰ Paste shortcut Organize > This PC > Desktop > SCHOOL > IFT 360 Move to ▾ names.txt - Notepad File Edit Format View Help John 25 Madison 42 Steve 17 Alexa 58 30 Jeff < X Copy Delete Rename to ▾ 1 item selected 50 bytes Type here to search Available on this device D At New folder New item. Easy access New Ln 1, Col 1 Properties Open Open Edit History - Select all Select none Invert selection Select 100% Windows (CRLF) O I UTF-8 ✡ X > O W 65°F 2 I 4) ENG Search IFT 360 8:50 PM 8/27/2023
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