🔵 Data Science · Lesson 34

Jupyter Notebook और Google Colab

Jupyter Notebook और Google Colab क्या है?

Jupyter Notebook और Google Colab ka matlab hai: Jupyter Notebook and Google Colab are popular tools for writing Python code, notes, outputs and charts together. Simple words me, ye topic practical Python programs likhne me direct use hota hai.

Is topic ko sirf definition ke liye nahi, balki writing code with notes jaise real examples ke liye practice karein.

यह क्यों सीखना जरूरी है?

Ye writing code with notes me kaam aata hai.
Ye showing charts and outputs se bhi connected hai.
Isse aap code ka output aur errors better samajh paate hain.

Important Terms

Term	Meaning
notebook	Interactive document that mixes code, output and notes.
cell	Single executable block in a notebook.
markdown	Simple text formatting used for notes in notebooks.
Colab	Cloud-based notebook service useful for Python and ML practice.
data science workflow	data science workflow is an important term in this topic.

Syntax / Basic Pattern

Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.

Basic Pattern

import pandas as pd
data = {"Name": ["Aarav", "Riya"], "Marks": [85, 92]}
df = pd.DataFrame(data)
df

Complete Example Program

Python – jupyter-colab.py

# In a notebook cell
import pandas as pd

data = {"Name": ["Aarav", "Riya"], "Marks": [85, 92]}
df = pd.DataFrame(data)
df

Expected Output

Name Marks 0 Aarav 85 1 Riya 92

Program Explanation

import pandas as pd imports ready-made features from a module/library.
data = {"Name": ["Aarav", "Riya"], "Marks": [85, 92]} stores a value in data.
df = pd.DataFrame(data) stores a value in df.
df performs the next step of the program logic.

Practical Uses

Writing code with notes.
Showing charts and outputs.
Sharing notebooks.

Common Mistakes

Analysing data before checking missing values, duplicates and data types.
Changing original data without keeping a clean copy.
Creating charts without title, labels or explanation.

Practice Tasks

Program ko jupyter-colab.py file me type karke run karein.
Values change karke output compare karein.
writing code with notes par ek छोटा example banayen.
Logic ko apne words me 5 lines me likhein.

सारांश

Jupyter Notebook and Google Colab ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.

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