[Python] Sweet Is it sweet? About suites and expressions in the official documentation

I was curious about the suite that appears in the official Python documentation, so make a note.

To summarize quickly, ・ ** suite is the processing after ":" ** ・ ** expression is an assignment expression, array, etc. **

For example, in the case of the if statement "If A, then B", it will be as follows. ・ Expression = A ・ Suite = B
** Meaning of suite ** By the way, katakana is sweet, but the spelling is different from sweets such as sweets and desserts.

suite is a noun such as a set or a set. It means a process (one set) used in a specific statement such as if statement or for statement.

■suite It is described in the syntax of if statement, try statement, etc. on the official page.

There is a description about suite on the official page, but it is long ...

A compound sentence consists of one or more'clauses'. The clause consists of a header and a'suite'. The headers of each clause that make up a compound statement are all placed at the same indentation level. The header of each section begins with a uniquely identifying keyword and ends with a colon. A suite is a collection of sentences controlled by clauses. A suite is a collection of one or more simple statements placed after a colon on a line with a header, separated by a semicolon, or one more indented statement on the line following the header. Only suites of the latter form can further nest compound statements.

Official page

To do

suite = processing under specific conditions

A process described after ":" in an if statement or for statement.

Although it is described immediately after ":" on the official page, it is generally the part that is displayed as an indent with a line break.

For example, in the case of the following if statement, which is super simple,

`if statement example`


A = 90

if A == 100:
    print('A is 100.')

The relationship between clauses, headers, and suites is as follows.

** ▼ How to write the official page ** There are no line breaks when writing the official page. This works the same way.

`if statement example`


A = 90
if A == 100:print('A is 100.')

** ▼ About clause ** When conditional branching, multiple clauses can be created. A suite can also be created for each section.

`If statement example ②`


A = 50

if A == 100:
    print('A is 100.')

elif A >= 80:
    print('A is over 80.')

elif A >= 70:
    print('A is over 70.')

else:
    print('A is 70 or less.')

■expression This is also described in the syntax of if statement, try statement, etc. on the official page like suite.

expression type

There are also some impressions in the above syntax.

①assignment_expression ②expression_list ③expression

①assignment_expression The official name is "substitution formula". It is used in if statements and while statements.

An inequality sign that connects some letters and numbers.

A == 100 B >= 80 Such.

②expression_list The official name is "List of Expressions". (Well I do not know,,)

An expression that expresses a group of elements such as list and range.

Used in the for statement.

range(10) [1,2,3,4,5,6,7,8,9] [1:100] Such.

③expression The official name is "conditional expression".

Expressions that perform Boolean operations (returning two choices of True or False) and lambda expressions (anonymous functions).

Used in except in try statements and in with statements. Things that become objects, such as functions and errors.

with open('sample.txt', 'a') as f: except ZeroDivisionError as e: except TypeError as e: Such.

▼ Official page ・ [Compound sentence](https://docs.python.org/ja/3/reference/compound_stmts.html#grammar-token-suite) ・ [Expression](https://docs.python.org/ja/3/reference/expressions.html#grammar-token-or-test)
_stmt This is a supplement, "_Stmt" written at the beginning of each syntax is an abbreviation of "statement" and means "○○ sentence".

▼ Example

try_stmt: try statement try1_stmt: try1 statement for_stmt: for statement if_stmt: if statement Such.

":: =" indicates that the formula of XX sentences is this.

*** The official documentation has a lot of jargon and is unfamiliar to write, but if you can read it, your understanding of python will be more accurate and faster (should).