This content originally appeared on flaviocopes.com and was authored by flaviocopes.com
Variables
We can create a new Python variable by assigning a value to a label, using the =
assignment operator.
In this example we assign a string with the value “Roger” to the name
label:
name = "Roger"
Here’s an example with a number:
age = 8
A variable name can be composed by characters, numbers, the _
underscore character, and it can’t start with a number. Those are all valid variable names:
name1
AGE
aGE
a11111
my_name
_name
Those are invalid variable names:
123
test!
name%
Other than that, anything is valid unless it’s a Python keyword. There are some keywords like for
, if
, while
, import
and more.
There’s no need to memorize them, as Python will alert you if you use one of those as a variable, and you will gradually recognize them as part of the Python programming language syntax.
Expressions and statements
We can expression any sort of code that returns a value. For example
1 + 1
"Roger"
A statement on the other hand is an operation on a value, for example those are 2 statements:
name = "Roger"
print(name)
A program is formed by a series of statements. Each statement is put on its own line, but you can use a semicolon to have more than one statement on a single line:
name = "Roger"; print(name)
Comments
In a Python program, everything after a hash mark is ignored, and considered a comment:
#this is a commented line
name = "Roger" # this is an inline comment
Indentation
Indentation in Python is meaningful.
You cannot indent randomly like this:
name = "Flavio"
print(name)
Some other languages do not have meaningful whitespace, but in Python indentation matters.
In this case, if you try to run this program you would get a IndentationError: unexpected indent
error, because indenting has a special meaning.
Everything indented belongs to a block, like a control statement or conditional block, or a function or class body. We’ll see more about those later on.
This content originally appeared on flaviocopes.com and was authored by flaviocopes.com
flaviocopes.com | Sciencx (2020-11-30T05:00:00+00:00) The basics of working with Python. Retrieved from https://www.scien.cx/2020/11/30/the-basics-of-working-with-python/
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