Python Pandas Introduction - Complete Guide

1. Pandas Kya Hai?

Pandas ek open-source Python library hai jo data manipulation aur analysis ke liye use hoti hai. Isme powerful data structures aur data analysis tools hote hain, jise data science aur machine learning me extensively use kiya jata hai.

2. Pandas Kyu Use Karein?

• Tabular data ko efficiently handle karna, jaise spreadsheets ya SQL tables.
• Data cleaning, filtering, merging, aur aggregation ke tools.
• Missing data ke management ke liye powerful methods.
• Data visualization ke liye matplotlib, seaborn ke sath easy integration.

3. Pandas Install Kaise Karein?

pip install pandas

4. Pandas Import Karna

import pandas as pd

5. Pandas Ke Data Structures

a) Series

Series ek one-dimensional labeled array hoti hai jo kisi bhi data type ka data hold karti hai.

import pandas as pd

data =
ser = pd.Series(data)
print(ser)

b) DataFrame

DataFrame ek two-dimensional labeled data structure hai jo rows aur columns se banta hai, jisme alag-alag types ka data ho sakta hai.

data = {
"Name": ["Ram", "Sita", "Geeta"],
"Age": ,
"City": ["Delhi", "Mumbai", "Bangalore"]
}

df = pd.DataFrame(data)
print(df)

6. Pandas Ke Basic Operations

a) DataFrame ke first paanch rows

print(df.head())

b) Columns access karna

print(df["Name"])

c) Rows ko filter karna

print(df[df["Age"] > 23])

d) Column add karna

df["Salary"] = [50000][60000][55000]
print(df)

e) Missing values fill karna

df["Salary"].fillna(0, inplace=True)

7. CSV File ke Saath Kaam Karna

a) CSV file read karna

df = pd.read_csv("data.csv")
print(df.head())

b) CSV file me write karna

df.to_csv("output.csv", index=False)

8. Summary

Pandas Python ka ek bahut hi powerful aur popular library hai jo data manipulation, analysis, aur visualization ke liye use hota hai. Iski madad se data scientists aur analysts easily apne data ko explore, clean, aur prepare karte hain machine learning models ke liye. Pandas seekhna data science aur analytical programming me ek zaroori skill hai.