Python Language: Difference between revisions

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=Type=
=Type=
The type of a variable or a constant can be obtained with the built-in function <code>[[#type.28.29|type()]]</code>
The type of a variable or a constant can be obtained with the built-in function <code>[[#type.28.29|type()]]</code>
==Integers==
==Types==
===Integers===
Whole numbers.
Whole numbers.
<syntaxhighlight lang='python'>
<syntaxhighlight lang='python'>
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<class 'int'>
<class 'int'>
</syntaxhighlight>
</syntaxhighlight>
 
===Floating Point Numbers===
==Floating Point Numbers==
Numbers with decimal parts.
Numbers with decimal parts.
<syntaxhighlight lang='python'>
<syntaxhighlight lang='python'>
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<class 'float'>
<class 'float'>
</syntaxhighlight>
</syntaxhighlight>
===String===
<syntaxhighlight lang='python'>
x = 'abc'
type(x)
<class 'str'>
</syntaxhighlight>
==Type Conversions==
==Type Conversions==
There are built-in function that can be used for type conversion:
There are built-in function that can be used for type conversion:

Revision as of 06:16, 22 May 2021

Internal

Reserved Words

Reserved words can only be used to mean the thing Python expects them to mean. They cannot be used as variable names, function names, class names, or identifiers.

False class return is finally
None if for lambda continue
True def from while nonlocal
and del global not with
as elif try or yield
assert else import pass
break except in raise

Constants

Constants are fixed values, they do not change throughout the program. Constants can be numeric (integers or floating point numbers), or strings, which can be single quoted or double quoted. Constants have a type.

Variables

Variables are memory locations used to store values, and have labels associated to them , the variable name. Variables are declared and assigned a value though an assignment statement. Variables have a type.

Variable Naming Rules

Variable names are case sensitive. Variable names can start with letters or underscore ('_') - but underscores should be generally avoided because Python tends to use underscores for its internal purposes. The rest of the variable name can be letters, numbers and underscores. No other characters are allowed. Variable names should be sensible (mnemonic).

Literals

Literals have a type.

Type

The type of a variable or a constant can be obtained with the built-in function type()

Types

Integers

Whole numbers.

x = -20
type(x)
<class 'int'>

Floating Point Numbers

Numbers with decimal parts.

x = 98.6
type(x)
<class 'float'>

String

x = 'abc'
type(x)
<class 'str'>

Type Conversions

There are built-in function that can be used for type conversion:

  • float()
  • int()
  • str()

Statements

In Python 2, print used to be a statement, while in Python 3, print() is a function.

Assignment Statement

The assignment statement assigns a value to a variable.

x = 1

The assignment statement accepts expressions:

x = x + 1

Expressions

Numeric expressions. Order of evaluation takes into account operator precedence.

Operators

+ Addition For numbers, adds them together, for strings, it concatenates.
- Subtraction
* Multiplication
/ Division In Python 3 integer division converts to floating point (not the case in Python 2, which truncates).
** Power
% Remainder (modulo)
= Assignment

Operator Precedence

The following rules apply, and they are specified in the order of their descending precedence:

  • Parentheses are always respected.
  • Exponentiation
  • Multiplication, division and remainder
  • Addition and subtraction
  • For operators with the same precedence, proceed left to right

Functions

Built-in Functions

  • type() returns the type of the argument.
  • print()

Identifiers

Python Script

A Python program file is called a Python script - a stored set of instructions that can be handed over to the Python interpreter. Python scripts have the .py extensions.

Flow Control

Sequential Steps

Sequential steps have the same indentation level.

Conditional Steps

if x < 10:
  print('something')

Loops

n = 5
while n > 0:
  print(n)
  n = n - 1

Loops have iteration variables, which are initialized, checked and changed within the loop.

Functions

Classes

Traceback

This means Python quit somewhere.

Organizatorium

Nesting