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PYTHON

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Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.[33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.[34][35] Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language, and he first released it in 1991 as Python 0.9.0.[36] Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2.[37] Python consistently ranks as one of the most popular programming languages, and it has gained widespread use in the machine learning community.[38][39][40][41]

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Sure, I'll do my best to provide a human-level, pro-fluent summary of the chapter on Variables and
Data Types, using examples from the video.

We'll start by talking about variables. In programming, a variable is a named location used to store
data in memory. It is called a variable because its value can vary throughout the execution of a
program. Variables must be given unique names, called identifiers. In Python, variable names are
case sensitive and cannot start with a number. They can contain letters, numbers, and underscores.

For example, let's say we want to store the number of apples I have in a variable named apples. We
can do this with the following code:

apples = 5

Now, apples is a variable that stores the value 5. We can use this variable in calculations, such as
adding more apples:

apples = apples + 3

print(apples)

This will output 8, because we added 3 to the value stored in the apples variable.

Next, let's talk about data types. A data type is an attribute that tells what kind of data a particular
variable can hold. There are several basic data types in Python, including int, float, str, and bool.

int is short for integer, which is a whole number, positive or negative, without decimals. For example:

num_apples = 10

num_oranges = -5

float is short for floating point number, which is a number with decimals. For example:

price_per_apple = 0.5

price_per_orange = 0.35

str is short for string, which is a sequence of characters surrounded by quotes. Strings can be
enclosed in either single quotes or double quotes. For example:

name = "Alice"

greeting = 'Hello, world!'

bool is short for boolean, which is a logical value that can be either True or False. For example:

is_hungry = True

is_tired = False

We can also use data types to perform type conversions, such as converting a string to an integer:

age_str = "25"

age_int = int(age_str)

print(type(age_int))

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