Learn GOOGLE-COLAB with Real Code Examples

print("Hello World")

A simple Python cell in Google Colab printing 'Hello World'.

import tensorflow as tf

hello = tf.constant("Hello Colab!")
print(hello.numpy().decode("utf-8"))

Using TensorFlow in Colab to create a basic constant and run it.

import numpy as np
arr = np.array([[1,2,3],[4,5,6]])
print(arr.shape)

Create a NumPy array and print its shape.

import matplotlib.pyplot as plt
x = [1,2,3,4]
y = [10,20,25,30]
plt.plot(x,y)
plt.title('Line Graph')
plt.show()

Plot a simple line graph using matplotlib.

import pandas as pd
data = {'Name':['Alice','Bob'],'Age':[25,30]}
df = pd.DataFrame(data)
df

Create a Pandas DataFrame and display it.

import seaborn as sns
import numpy as np
import pandas as pd

data = pd.DataFrame({'x': np.random.rand(50), 'y': np.random.rand(50)})
sns.scatterplot(x='x', y='y', data=data)

Create a Seaborn scatter plot with random data.

from ipywidgets import IntSlider
slider = IntSlider(value=5, min=0, max=10, step=1)
slider

Create a simple slider widget using ipywidgets.

import torch
tensor = torch.randn(3,3)
print(tensor.shape)

Create a tensor in PyTorch and print its shape.

# Hello Colab
This is a **Markdown** cell in Google Colab.

A Markdown cell displaying formatted text.

from sympy import symbols, expand
x, y = symbols('x y')
expr = (x + y)**2
expand(expr)

Define symbols and perform symbolic math using SymPy.