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Sanskar

Keen Learner and Exp... • 2d

Day 1 of learning python as a beginner. Topic: Variables and Datatypes Variables are like containers which are used to store various datatypes in it. These datatypes includes string, Integer (whole number), floating point (decimal numbers), boolean (true-false). Variable name can start with a letter or a _ (underscore). It cannot start with a number or a special character like @. Although it can contain a number in between or at the end but it cannot contain any special character anywhere. Examples: variable1 = this is acceptable ✅ 1variable = shows syntax error ❌ v@riable = shows syntax error ❌ A little BMI calculator I created (It's been two days since I started learning python and thus I got familiar with another feature "if-else statement" and thus decided to use it) I would appreciate any feedback on the code or mentorshipa

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Any python cryptography expert, I have encrypted a data long back ago using python cryptography but cannot recover it now, even after checking all possible ways I have the key also but it's not working. Could anyone help

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FUN FACT ABOUT PYTHON. As Python was implemented in the C language, when we say x=10000 in python, x is not just a raw integer but it's actually a pointer to a compound C structure which not only stores the integer value but also many other values. T

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looking for a full stack Developer as a freelance I'll paid him 500INR. Actually, I am facing few error while deploying. If interested kindly drop your email ID Or phone number.

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Anonymous

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Social messaging platforms should include a feature where people from groups cannot randomly DM you. And there should be an option of hiding your number from being displayed on groups for more control This will help in privacy control

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1. Python: - History: Python was created by Guido van Rossum and was first released in 1991. Its design philosophy emphasizes code readability and its syntax allows programmers to express concepts in fewer lines of code. - Unique Fact: The name

Harish Kumar

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Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume