Tuple Data Type in Python

-

 

Concept


Tuple is a collection which is immutable, ordered and unchangeable. Allows duplicate members



Code Example


Example 1:

>>> t = ()
>>> t
()

>>> type(t)
<class 'tuple'>

>>> t = (10, 20.35, 'Hello', [1, 2])
>>> t
(10, 20.35, 'Hello', [1, 2])


Example 2:

>>> t = (10, 20.35, 'Hello', [1, 2])
>>> len(t)
4




Get Help

Location: India

Comments

Post a Comment

Popular posts from this blog

How To Create .ENV File in Python

-
Image
  Env files allow you to put your environment variables inside a file. You just create a new file called. env in your project and slap your variables in there on different lines.  This env is used for storing your all id, password, keys all important credential so no on directly can get your data. Code Step 1: Create a virtual environment and make it active Step 2: pip install python-dotenv Step 3: Create a .env file Step 4: Create test.py in the same dir where you created .env file Now Check Code   test.py from dotenv import load_dotenv load_dotenv() import os my_site = os.getenv("DOMAIN") print("Visit My website : {} ".format(my_site))   .env # a comment that will be ignored. DOMAIN= https://thepyuniverse.blogspot.com Now Run test.py Output:  Visit My website :  https://thepyuniverse.blogspot.com Screenshot : Quiz Level 1 Quiz Level 2 Request Me
Read more

Create a Large file for Test Data Processing using Python

-
  Code Example # Create a Large file for Test Data Processing This below code will create 1.1GB .txt file import string from random import choice with open("large_data.txt", "w") as fp:     i = 1     while i <= 1000000:         word = (''.join(                 choice(string.ascii_uppercase + string.digits) for _ in range(10)) + "|"                ) * 100         fp.write(word[:] + "\n")         i += 1
Read more

How to solve the Liner Equation using Python

-
  Code Example # How to solve the Liner Equation using Python Example 1: [with Multiple variable] import numpy as np '''     8x+3y−2z=9     −4x+7y+5z=15     3x+4y−12z=35 ''' A = np.array([[8, 3, -2], [-4, 7, 5], [3, 4, -12]]) b = np.array([9, 15, 35]) answer = np.linalg.solve(A, b) print(answer)  
Read more