Question 1 - Python Dictionary Image
Solution

Steps to solve:
1. take input from the user and convert it to an integer
2. then initialize a dictionary "result"
3. now use for loop to fill the dictionary with 'i' as key and i*i as value
4. print the dictionary Image
Question 2 - Python List, Tuple Image
Solution

Step to solve:
1. take the input
2. split the number on the comma
3. create a list and tuple of numbers
4. print the result Image
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More from @sadanandghule

Oct 16
You run analytics on data to gain insights. These insights are meaningless until you reveal the story they wish to tell. These insights must translate into actions or business results.
People get moved by stories, not facts. I'm sure you recall certain stories from your youth. Stories inspire action. Will listening to a story about Mahatma Gandhi motivate you to take action?

Do you get my point?
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Oct 15
How to Find Factorial in Three Effective Ways

🧵Step by Step Solution

#Python #pythonprogramming #DataScience #DataAnalytics #Data #MachineLearning #Python

👇🏻
🚩Problem

Write a program which can compute the factorial of a given number.

Suppose the following input is supplied to the program:
4
Then, the output should be:
24

Hints:
In case of input data being supplied to the question, it should be assumed to be a console input.

👇🏻
💡Concept of Factorial

- Factorial of 5 = 1 x 2 x 3 x 4 x 5 = 120
- Factorial of 0 = 1
- Factorial of 1 = 1
- Factorial of 2 = 1 x 2 = 2
- Factorial of -1 = Does not exist

👇🏻 Image
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Know, How do tech businesses create successful data science products?

Step by Step 🧵

#DataScience #DataAnalytics #Data #MachineLearning #ArtificialIntelligence #deeplearning #Python #R #SQL #Julia #Agile
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💡Business Types

There are two types of businesses:
1. service-based (TCS, WIPRO, INFOSYS, Cognizant, and Capgemini)
2. product-based (TCS, WIPRO, INFOSYS, Cognizant, and Capgemini) (Microsoft, Apple, Google, and Tesla).
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Product-based companies grant data science projects to service-based companies.

While product-based businesses, receive data science projects from the various departments that make up their organization
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