Python basic data science commands9/15/2023 ![]() In the above example, price is an integer (a whole number with no decimal points), rating is a floating-point number (a number with a decimal point), course_name is a string (a sequence of characters), and published is a boolean.īoolean values in Python can be True or False. Variables are used to temporarily store data in the computer’s memory. Other common data types in Python are lists, dictionaries, and tuples. This means that if you have already defined one, you cannot change it later on. Also, remember that strings are immutable in Python. Integer (int)Īn integer is used to represent an object such as “number 5”.Įxample: -2, -1, 0, 1, 2, 3 Floating-Point Number (float)įloat is used to represent floating-point numbers.Įxample: -1.25, -1.0, – 0.5, 0.0, 0.5, 1.0, 1.25 StringĪ string is used to modify a sequence of characters. The three most used data types in Python are integers, floating-point numbers, and string. In Python, every value is referred to as an object and every object has a specific data type. Shift right by pushing copies of the leftmost bit in from the left, and let the rightmost bits fall off Sets each bit to 1 if only one of two bits is 1 Sets each bit to 1 if one of two bits is 1 Returns True if both variables are not the same objectīitwise operators are used to compare binary numbers. Returns True if both variables are the same object ![]() Identity operators are used to compare the objects to see if they are actually the same object with the same memory location. ![]()
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