python3.13_demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9bc5fb30-2308-49fc-bf63-6379d536cecb",
   "metadata": {},
   "source": [
    "# Python 3.13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "373ae7a8-c7e1-47ff-a6e1-db4e3c2f0cde",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.13.0 | packaged by Anaconda, Inc. | (main, Oct  7 2024, 16:40:03) [Clang 14.0.6 ]\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "print(sys.version)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1b3ab59-fe7e-41cf-8f72-25d5286a4a78",
   "metadata": {},
   "source": [
    "## REPL changes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3b6d7655-7ede-4e3f-a4c4-0ea4296d2acd",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'my_non_existing_var' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[43mmy_non_existing_var\u001b[49m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'my_non_existing_var' is not defined"
     ]
    }
   ],
   "source": [
    "1 + my_non_existing_var"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a5678483-8154-4761-bc3d-9685dbe8e419",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unsupported operand type(s) for +: 'int' and 'ellipsis'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;241;43m1\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\n",
      "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'ellipsis'"
     ]
    }
   ],
   "source": [
    "1 + ..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4890ff1e-c7c3-479e-b004-474bb2bb18c1",
   "metadata": {},
   "source": [
    "```\n",
    ">>> 1 + my_non_existing_var\n",
    "Traceback (most recent call last):\n",
    "  File \"<python-input-0>\", line 1, in <module>\n",
    "    1 + my_non_existing_var\n",
    "        ^^^^^^^^^^^^^^^^^^^\n",
    "NameError: name 'my_non_existing_var' is not defined\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "748a1033-de9e-4c17-972c-79526d691920",
   "metadata": {},
   "source": [
    "## `deprecated` decorator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cf3eca63-c3d7-45d0-b968-a51b398a95d0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/_6/0y2346cj603d9lhdb2w6nvgm0000gp/T/ipykernel_780/1488851572.py:7: DeprecationWarning: should not be used anymore\n",
      "  some_function(\"Bob\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'hello Bob'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from warnings import deprecated\n",
    "\n",
    "@deprecated(\"should not be used anymore\")\n",
    "def some_function(name):\n",
    "    return f\"hello {name}\"\n",
    "\n",
    "some_function(\"Bob\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f627bd85-1531-448e-86b7-70f4a2b46222",
   "metadata": {},
   "source": [
    "## `__static_attributes__`\n",
    "Mostly for tools and data classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7bf6ba8d-bc00-45ae-b227-8b63f5b970a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('db_name',)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class Client():\n",
    "    host: str = \"127.0.0.1\"\n",
    "    port: int = 8888\n",
    "    def __init__(self, db_name: str):\n",
    "        self.db_name = db_name\n",
    "\n",
    "Client.__static_attributes__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb49f345-6fc7-4faf-8737-4d912c66501e",
   "metadata": {},
   "source": [
    "## Pattern Matching Enhancements\n",
    "Pattern matching, introduced in Python 3.10, has been significantly improved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b6366c25-16e7-4d06-ac82-97a5d10b40db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Both values are positive\n",
      "At least one value is negative\n",
      "Unknown data\n"
     ]
    }
   ],
   "source": [
    "from collections import namedtuple\n",
    "\n",
    "Container = namedtuple(\"Container\", [\"x\", \"y\"])\n",
    "\n",
    "\n",
    "def handle_data(data: Container) -> str:\n",
    "    match data:\n",
    "        case (x, y) if x > 0 and y > 0:\n",
    "            return \"Both values are positive\"\n",
    "        case (x, y) if x < 0 or y < 0:\n",
    "            return \"At least one value is negative\"\n",
    "        case _:\n",
    "            return \"Unknown data\"\n",
    "\n",
    "print(handle_data(Container(x=1, y=2)))\n",
    "print(handle_data(Container(x=1, y=-1)))\n",
    "print(handle_data(\"a\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "319680a1-2d4b-48e2-9334-3bc30e76646f",
   "metadata": {},
   "source": [
    "## ~`freeze` support~\n",
    "\n",
    "Finally not implemented, see https://github.com/diegojromerolopez/gelidum"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0901d555-0cd7-42b4-b650-7c5bfcb7df0e",
   "metadata": {},
   "source": [
    "## `gc.collect()` and circular references\n",
    "Python 3.13 improves garbage collection (GC) by reducing memory overhead in long-running processes, making it particularly useful in web servers, data pipelines, and large-scale applications.\n",
    "\n",
    "See https://github.com/python/cpython/issues/100403"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "20648051-2bea-48f4-9129-1e52ea9094fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before: 711\n",
      "after: 0\n",
      "after: 0\n",
      "after: 3\n"
     ]
    }
   ],
   "source": [
    "import gc\n",
    "\n",
    "from dataclasses import dataclass\n",
    "\n",
    "@dataclass\n",
    "class Node:\n",
    "    id_value: int\n",
    "    left: \"Node | None\" = None\n",
    "    right: \"Node | None\" = None\n",
    "\n",
    "node1 = Node(1)\n",
    "node2 = Node(2)\n",
    "node3 = Node(3)\n",
    "\n",
    "node1.right = node2\n",
    "node2.right = node3\n",
    "node3.right = node1\n",
    "\n",
    "node1.left = node3\n",
    "node3.left = node2\n",
    "node2.left = node1\n",
    "\n",
    "print(f\"before: {gc.collect()}\")\n",
    "\n",
    "# del node1, node2, node3\n",
    "\n",
    "del node1\n",
    "print(f\"after: {gc.collect()}\")\n",
    "\n",
    "del node2\n",
    "print(f\"after: {gc.collect()}\")\n",
    "\n",
    "del node3\n",
    "print(f\"after: {gc.collect()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31331edc-dbf7-4835-b619-15f147669766",
   "metadata": {},
   "source": [
    "## An experimental just-in-time (JIT) compiler\n",
    "\n",
    "https://docs.python.org/3/whatsnew/3.13.html#an-experimental-just-in-time-jit-compiler\n",
    "\n",
    "## Free-threaded CPython\n",
    "\n",
    "`python 3.13t`\n",
    "\n",
    "CPython now has experimental support for running in a free-threaded mode, with the global interpreter lock (GIL) disabled.\n",
    "\n",
    "- https://docs.python.org/3/whatsnew/3.13.html#whatsnew313-free-threaded-cpython\n",
    "- https://github.com/lip234/python_313_benchmark\n",
    "- https://github.com/ArjanCodes/examples/blob/main/2024/python_3_13/gil_test.py -- GIL benchmark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "3ca23945-cf30-4c78-8d66-f861b6f02619",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  3.13.0\n",
      "  3.13.0t\n",
      "  3.13-dev\n",
      "  3.13t-dev\n",
      "  pypy2.7-7.3.13-src\n",
      "  pypy2.7-7.3.13\n",
      "  pypy3.9-7.3.13-src\n",
      "  pypy3.9-7.3.13\n",
      "  pypy3.10-7.3.13-src\n",
      "  pypy3.10-7.3.13\n"
     ]
    }
   ],
   "source": [
    "!pyenv install -l | grep 3.13"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "663a508b-c2ee-4906-a0a7-0fa60b73afc6",
   "metadata": {},
   "source": [
    "## Release schedule\n",
    "\n",
    "Next Python 3.XY versions to be reseased annually on October"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2df6fd95-4dce-4812-b8aa-9ed06a0f6822",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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