Remove code examples for Python 3.8 in `python_types`

docs/en/docs/python-types.md

@@ -22,7 +22,7 @@ If you are a Python expert, and you already know everything about type hints, sk
 
 Let's start with a simple example:
 
-{* ../../docs_src/python_types/tutorial001.py *}
+{* ../../docs_src/python_types/tutorial001_py39.py *}
 
 Calling this program outputs:
 
@@ -36,7 +36,7 @@ The function does the following:
 * Converts the first letter of each one to upper case with `title()`.
 * <abbr title="Puts them together, as one. With the contents of one after the other.">Concatenates</abbr> them with a space in the middle.
 
-{* ../../docs_src/python_types/tutorial001.py hl[2] *}
+{* ../../docs_src/python_types/tutorial001_py39.py hl[2] *}
 
 ### Edit it { #edit-it }
 
@@ -78,7 +78,7 @@ That's it.
 
 Those are the "type hints":
 
-{* ../../docs_src/python_types/tutorial002.py hl[1] *}
+{* ../../docs_src/python_types/tutorial002_py39.py hl[1] *}
 
 That is not the same as declaring default values like would be with:
 
@@ -106,7 +106,7 @@ With that, you can scroll, seeing the options, until you find the one that "ring
 
 Check this function, it already has type hints:
 
-{* ../../docs_src/python_types/tutorial003.py hl[1] *}
+{* ../../docs_src/python_types/tutorial003_py39.py hl[1] *}
 
 Because the editor knows the types of the variables, you don't only get completion, you also get error checks:
 
@@ -114,7 +114,7 @@ Because the editor knows the types of the variables, you don't only get completi
 
 Now you know that you have to fix it, convert `age` to a string with `str(age)`:
 
-{* ../../docs_src/python_types/tutorial004.py hl[2] *}
+{* ../../docs_src/python_types/tutorial004_py39.py hl[2] *}
 
 ## Declaring types { #declaring-types }
 
@@ -133,7 +133,7 @@ You can use, for example:
 * `bool`
 * `bytes`
 
-{* ../../docs_src/python_types/tutorial005.py hl[1] *}
+{* ../../docs_src/python_types/tutorial005_py39.py hl[1] *}
 
 ### Generic types with type parameters { #generic-types-with-type-parameters }
 
@@ -161,56 +161,24 @@ If you can use the **latest versions of Python**, use the examples for the lates
 
 For example, let's define a variable to be a `list` of `str`.
 
-//// tab | Python 3.9+
-
 Declare the variable, with the same colon (`:`) syntax.
 
 As the type, put `list`.
 
 As the list is a type that contains some internal types, you put them in square brackets:
 
-```Python hl_lines="1"
+{* ../../docs_src/python_types/tutorial006_py39.py hl[1] *}
-{!> ../../docs_src/python_types/tutorial006_py39.py!}
-```
-
-////
-
-//// tab | Python 3.8+
-
-From `typing`, import `List` (with a capital `L`):
-
-```Python hl_lines="1"
-{!> ../../docs_src/python_types/tutorial006.py!}
-```
-
-Declare the variable, with the same colon (`:`) syntax.
-
-As the type, put the `List` that you imported from `typing`.
-
-As the list is a type that contains some internal types, you put them in square brackets:
-
-```Python hl_lines="4"
-{!> ../../docs_src/python_types/tutorial006.py!}
-```
-
-////
 
 /// info
 
 Those internal types in the square brackets are called "type parameters".
 
-In this case, `str` is the type parameter passed to `List` (or `list` in Python 3.9 and above).
+In this case, `str` is the type parameter passed to `list`.
 
 ///
 
 That means: "the variable `items` is a `list`, and each of the items in this list is a `str`".
 
-/// tip
-
-If you use Python 3.9 or above, you don't have to import `List` from `typing`, you can use the same regular `list` type instead.
-
-///
-
 By doing that, your editor can provide support even while processing items from the list:
 
 <img src="/img/python-types/image05.png">
@@ -225,21 +193,7 @@ And still, the editor knows it is a `str`, and provides support for that.
 
 You would do the same to declare `tuple`s and `set`s:
 
-//// tab | Python 3.9+
+{* ../../docs_src/python_types/tutorial007_py39.py hl[1] *}
-
-```Python hl_lines="1"
-{!> ../../docs_src/python_types/tutorial007_py39.py!}
-```
-
-////
-
-//// tab | Python 3.8+
-
-```Python hl_lines="1  4"
-{!> ../../docs_src/python_types/tutorial007.py!}
-```
-
-////
 
 This means:
 
@@ -254,21 +208,7 @@ The first type parameter is for the keys of the `dict`.
 
 The second type parameter is for the values of the `dict`:
 
-//// tab | Python 3.9+
+{* ../../docs_src/python_types/tutorial008_py39.py hl[1] *}
-
-```Python hl_lines="1"
-{!> ../../docs_src/python_types/tutorial008_py39.py!}
-```
-
-////
-
-//// tab | Python 3.8+
-
-```Python hl_lines="1  4"
-{!> ../../docs_src/python_types/tutorial008.py!}
-```
-
-////
 
 This means:
 
@@ -292,10 +232,10 @@ In Python 3.10 there's also a **new syntax** where you can put the possible type
 
 ////
 
-//// tab | Python 3.8+
+//// tab | Python 3.9+
 
 ```Python hl_lines="1  4"
-{!> ../../docs_src/python_types/tutorial008b.py!}
+{!> ../../docs_src/python_types/tutorial008b_py39.py!}
 ```
 
 ////
@@ -309,7 +249,7 @@ You can declare that a value could have a type, like `str`, but that it could al
 In Python 3.6 and above (including Python 3.10) you can declare it by importing and using `Optional` from the `typing` module.
 
 ```Python hl_lines="1  4"
-{!../../docs_src/python_types/tutorial009.py!}
+{!../../docs_src/python_types/tutorial009_py39.py!}
 ```
 
 Using `Optional[str]` instead of just `str` will let the editor help you detect errors where you could be assuming that a value is always a `str`, when it could actually be `None` too.
@@ -326,18 +266,18 @@ This also means that in Python 3.10, you can use `Something | None`:
 
 ////
 
-//// tab | Python 3.8+
+//// tab | Python 3.9+
 
 ```Python hl_lines="1  4"
-{!> ../../docs_src/python_types/tutorial009.py!}
+{!> ../../docs_src/python_types/tutorial009_py39.py!}
 ```
 
 ////
 
-//// tab | Python 3.8+ alternative
+//// tab | Python 3.9+ alternative
 
 ```Python hl_lines="1  4"
-{!> ../../docs_src/python_types/tutorial009b.py!}
+{!> ../../docs_src/python_types/tutorial009b_py39.py!}
 ```
 
 ////
@@ -357,7 +297,7 @@ It's just about the words and names. But those words can affect how you and your
 
 As an example, let's take this function:
 
-{* ../../docs_src/python_types/tutorial009c.py hl[1,4] *}
+{* ../../docs_src/python_types/tutorial009c_py39.py hl[1,4] *}
 
 The parameter `name` is defined as `Optional[str]`, but it is **not optional**, you cannot call the function without the parameter:
 
@@ -390,10 +330,10 @@ You can use the same builtin types as generics (with square brackets and types i
 * `set`
 * `dict`
 
-And the same as with Python 3.8, from the `typing` module:
+And the same as with previous Python versions, from the `typing` module:
 
 * `Union`
-* `Optional` (the same as with Python 3.8)
+* `Optional`
 * ...and others.
 
 In Python 3.10, as an alternative to using the generics `Union` and `Optional`, you can use the <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr> to declare unions of types, that's a lot better and simpler.
@@ -409,7 +349,7 @@ You can use the same builtin types as generics (with square brackets and types i
 * `set`
 * `dict`
 
-And the same as with Python 3.8, from the `typing` module:
+And generics from the `typing` module:
 
 * `Union`
 * `Optional`
@@ -417,29 +357,17 @@ And the same as with Python 3.8, from the `typing` module:
 
 ////
 
-//// tab | Python 3.8+
-
-* `List`
-* `Tuple`
-* `Set`
-* `Dict`
-* `Union`
-* `Optional`
-* ...and others.
-
-////
-
 ### Classes as types { #classes-as-types }
 
 You can also declare a class as the type of a variable.
 
 Let's say you have a class `Person`, with a name:
 
-{* ../../docs_src/python_types/tutorial010.py hl[1:3] *}
+{* ../../docs_src/python_types/tutorial010_py39.py hl[1:3] *}
 
 Then you can declare a variable to be of type `Person`:
 
-{* ../../docs_src/python_types/tutorial010.py hl[6] *}
+{* ../../docs_src/python_types/tutorial010_py39.py hl[6] *}
 
 And then, again, you get all the editor support:
 
@@ -463,29 +391,7 @@ And you get all the editor support with that resulting object.
 
 An example from the official Pydantic docs:
 
-//// tab | Python 3.10+
+{* ../../docs_src/python_types/tutorial011_py310.py *}
-
-```Python
-{!> ../../docs_src/python_types/tutorial011_py310.py!}
-```
-
-////
-
-//// tab | Python 3.9+
-
-```Python
-{!> ../../docs_src/python_types/tutorial011_py39.py!}
-```
-
-////
-
-//// tab | Python 3.8+
-
-```Python
-{!> ../../docs_src/python_types/tutorial011.py!}
-```
-
-////
 
 /// info
 
@@ -507,27 +413,9 @@ Pydantic has a special behavior when you use `Optional` or `Union[Something, Non
 
 Python also has a feature that allows putting **additional <abbr title="Data about the data, in this case, information about the type, e.g. a description.">metadata</abbr>** in these type hints using `Annotated`.
 
-//// tab | Python 3.9+
+Since Python 3.9, `Annotated` is a part of the standard library, so you can import it from `typing`.
-
-In Python 3.9, `Annotated` is part of the standard library, so you can import it from `typing`.
 
-```Python hl_lines="1  4"
+{* ../../docs_src/python_types/tutorial013_py39.py hl[1,4] *}
-{!> ../../docs_src/python_types/tutorial013_py39.py!}
-```
-
-////
-
-//// tab | Python 3.8+
-
-In versions below Python 3.9, you import `Annotated` from `typing_extensions`.
-
-It will already be installed with **FastAPI**.
-
-```Python hl_lines="1  4"
-{!> ../../docs_src/python_types/tutorial013.py!}
-```
-
-////
 
 Python itself doesn't do anything with this `Annotated`. And for editors and other tools, the type is still `str`.
 

docs_src/python_types/tutorial006.py

@@ -1,6 +0,0 @@
-from typing import List
-
-
-def process_items(items: List[str]):
-    for item in items:
-        print(item)

docs_src/python_types/tutorial007.py

@@ -1,5 +0,0 @@
-from typing import Set, Tuple
-
-
-def process_items(items_t: Tuple[int, int, str], items_s: Set[bytes]):
-    return items_t, items_s

docs_src/python_types/tutorial008.py

@@ -1,7 +0,0 @@
-from typing import Dict
-
-
-def process_items(prices: Dict[str, float]):
-    for item_name, item_price in prices.items():
-        print(item_name)
-        print(item_price)

docs_src/python_types/tutorial011.py

@@ -1,23 +0,0 @@
-from datetime import datetime
-from typing import List, Union
-
-from pydantic import BaseModel
-
-
-class User(BaseModel):
-    id: int
-    name: str = "John Doe"
-    signup_ts: Union[datetime, None] = None
-    friends: List[int] = []
-
-
-external_data = {
-    "id": "123",
-    "signup_ts": "2017-06-01 12:22",
-    "friends": [1, "2", b"3"],
-}
-user = User(**external_data)
-print(user)
-# > User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
-print(user.id)
-# > 123

docs_src/python_types/tutorial013.py

@@ -1,5 +0,0 @@
-from typing_extensions import Annotated
-
-
-def say_hello(name: Annotated[str, "this is just metadata"]) -> str:
-    return f"Hello {name}"