From ca263283643258a25df9b963d86c4325027a4a46 Mon Sep 17 00:00:00 2001
From: Vladimir <87763796+moiseevv@users.noreply.github.com>
Date: Mon, 24 Oct 2022 15:48:47 +0700
Subject: [PATCH 1/6] python1
---
Untitled_1.ipynb | 499 +++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 499 insertions(+)
create mode 100644 Untitled_1.ipynb
diff --git a/Untitled_1.ipynb b/Untitled_1.ipynb
new file mode 100644
index 0000000..3c4e2b2
--- /dev/null
+++ b/Untitled_1.ipynb
@@ -0,0 +1,499 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "87b4e236-58fe-4534-8104-cafbd0bcb2ce",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Current Version of Python interpreter we are using- 3.10.8 (tags/v3.10.8:aaaf517, Oct 11 2022, 16:50:30) [MSC v.1933 64 bit (AMD64)]\n"
+ ]
+ }
+ ],
+ "source": [
+ "import sys \n",
+ "# Getting interpreter version as a result \n",
+ "print(\"Current Version of Python interpreter we are using-\", sys.version)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "1028fb6d-7d7c-4069-9534-bdf74f40cc01",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "100"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "10**2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "798f186d-4cf0-4aff-856d-2d2a39637b06",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "int(9**(1/2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "d8748644-eab9-4e0e-a229-4858f975e5c8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "5//2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "e6305a25-99cc-45a9-81cd-530ef5fe86a7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def av(*ar):\n",
+ " sum_ar = sum(ar)\n",
+ " len_ar = len(ar)\n",
+ " result = sum_ar/len_ar\n",
+ " return result"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 65,
+ "id": "3ab92fcf-3dfc-4a3e-84f6-9ba58d26fe91",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2.0"
+ ]
+ },
+ "execution_count": 65,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df = [1,2,3]\n",
+ "av(1,2,3)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "id": "18a88c13-a445-406d-8bfb-cb03f2554048",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1"
+ ]
+ },
+ "execution_count": 66,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "id": "dcea747d-8c32-4832-9b24-dd7732fee8f6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3"
+ ]
+ },
+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df[0+2]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "e1a02b36-88dc-48c2-a50e-4cf8489586c3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1.9"
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ " df_2 = [1,2,2,2,2,2,2]\n",
+ "av(*df_2, *df)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "8452f63e-2139-4c21-b4ad-96e966fd774a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "i = 6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "a56310df-a913-49c1-8de1-5c7a751f0492",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2111452807568"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "id(i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "9b1ca221-b724-4666-a634-7878648ca92a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "y = 9"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "64c093c8-e018-4c91-b768-f87267f8f932",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2111452807568"
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "id(i)\n",
+ "id(y)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "id": "86b3db87-e827-4534-a43d-1b352c0ffcbb",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "number is x: False\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('number is x:', i is y)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "90886ec4-0779-407b-87bd-a955c5711a2c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fact = 1\n",
+ "def fl(n):\n",
+ " if n <=1:\n",
+ " return 1\n",
+ " else: r = n*fl(n-1)\n",
+ " \n",
+ " return r"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "id": "9097a50a-9f54-4708-9153-1ef3372f2b15",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "g = fl(5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "id": "96657577-2fd4-4174-b545-2dd8f0089620",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "120"
+ ]
+ },
+ "execution_count": 63,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "g"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "id": "8052d8a4-46a1-4321-ac49-fb2262f3e3e7",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1\n",
+ "1\n",
+ "2\n",
+ "6\n",
+ "24\n",
+ "120\n",
+ "720\n",
+ "5040\n",
+ "40320\n",
+ "362880\n",
+ "3628800\n",
+ "39916800\n",
+ "479001600\n",
+ "6227020800\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in range(0,14):\n",
+ " print(fl(i))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "id": "090c66e9-8edf-43a7-b6f0-f2b875070a63",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tumpl1 = (10,20,10)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "id": "1dcaa050-8f0d-439d-acc9-9e55237a26da",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tumple2 = (10,1,2)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "id": "66e387e4-5c3e-4105-8f1b-d5b38e83746c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tumpl3 = tumple2+tumpl1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 76,
+ "id": "dc4c33f0-e853-40d9-8021-b9c20e923944",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(10, 1, 2, 10, 20, 10)\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(tumpl3)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "id": "d6506ef6-3a6b-4ca9-aa01-23cbbbf9e108",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[(0, 'red'), (1, 'orange'), (2, 'yellow')]"
+ ]
+ },
+ "execution_count": 77,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "colors = ['red', 'orange', 'yellow']\n",
+ "list(enumerate(colors))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 79,
+ "id": "a9ee3d53-a596-4ac8-b08e-a99e4fac9608",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "sample_list = []\n",
+ "s = 'abc'\n",
+ "sample_list.extend(s)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 83,
+ "id": "44108327-34bb-47a0-b00e-26ae5913f618",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['a', 'b', 'c', 1, 2, 3]"
+ ]
+ },
+ "execution_count": 83,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sample_list"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "id": "178c30be-d83d-4dc6-a500-5a83be6313ac",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "t = (1, 2, 3)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 82,
+ "id": "225baa50-fca0-422e-8b29-b723bc2786fd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "sample_list.extend(t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "58d95999-17d9-4e08-b6c9-77bc6b5c0834",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
From 34ec1670837b587c4e681c03dff539a40a5695c0 Mon Sep 17 00:00:00 2001
From: Vladimir <87763796+moiseevv@users.noreply.github.com>
Date: Tue, 25 Oct 2022 08:33:39 +0700
Subject: [PATCH 2/6] lambda
---
Untitled_2.ipynb | 350 +++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 350 insertions(+)
create mode 100644 Untitled_2.ipynb
diff --git a/Untitled_2.ipynb b/Untitled_2.ipynb
new file mode 100644
index 0000000..d287c32
--- /dev/null
+++ b/Untitled_2.ipynb
@@ -0,0 +1,350 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "e03c8ebf-3444-48bd-a90b-e19d9e558116",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "color_names = [1,2,3]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "12078d2b-5dfb-4ca6-8714-c8c03ad3c151",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "copied_list = color_names.copy()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "3a89ed70-b217-497d-8a3e-e484581eeb5f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "l1 is copied_list"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "9e275b98-a866-47ce-9f0a-19a763432ef2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "l1 = copied_list"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "a92906d1-4da6-4178-b6a5-bfd6265e211c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "list2 = [item for item in range(1, 6+1)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "14f206b3-2a1a-4398-9257-e6e4e5c8f8a1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[1, 2, 3, 4, 5, 6]"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "89a930e6-8f17-49e2-9bec-1d320df20743",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def is_odd(x):\n",
+ " return x*2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "836c0de9-e8a5-4d70-a19d-fd9c28ad5309",
+ "metadata": {
+ "tags": []
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[10, 3, 7, 1, 9, 4, 2, 8, 5, 6]"
+ ]
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "[item for item in numbers if is_odd(item)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "67c70f0b-e800-45f6-8910-0901c14cc585",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[1, 3, 5]"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list(filter(lambda x: x % 2 != 0, list2))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "c129f974-830d-4ff6-8f4d-4709d0a46f77",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "numbers = [10, 3, 7, 1, 9, 4, 2, 8, 5, 6]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "04aa966d-bdab-4864-be72-a93be8f307f8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[100, 9, 49, 1, 81, 16, 4, 64, 25, 36]"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list(map(lambda x: x ** 2, numbers))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "8dc445c0-e4c8-47d7-8dad-3db71881e3a7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[100, 9, 49, 1, 81, 16, 4, 64, 25, 36]"
+ ]
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "[item ** 2 for item in numbers]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "4df731b9-6760-4fcd-b3db-55e89c0b1e76",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[9, 49, 1, 81, 25]"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "list(map(lambda x: x ** 2, filter(lambda x: x % 2 != 0, numbers)))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "009512e2-a2ad-4b1b-b669-1ca474ca5629",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[9, 49, 1, 81, 25]"
+ ]
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "[x ** 2 for x in numbers if x % 2 != 0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "f8962103-dc68-4a08-9fdd-e6d6b5fab363",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "'Red' < 'orange'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "ef4d098d-458b-41f3-ae4f-96a5740247f9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "82"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ord('R')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "3311a245-b013-410c-b144-39087f6cd4d2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "111"
+ ]
+ },
+ "execution_count": 25,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ord('o')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "96bf8dd7-258c-40b3-bcd4-ff302b97d34e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Name=ABob; GPA=3.5\n",
+ "Name=Sue; GPA=5.0\n",
+ "Name=Amanda; GPA=3.75\n"
+ ]
+ }
+ ],
+ "source": [
+ "names = ['ABob', 'Sue', 'Amanda']\n",
+ "grade_point_averages = [3.5, 5.0, 3.75]\n",
+ "for name, gpa in zip(names, grade_point_averages):\n",
+ " print(f'Name={name}; GPA={gpa}')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f684b13b-9fbc-4d2a-8fc3-c65a1dc69a19",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.10.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
From 1f568eedcf6bd2bf94ee6bf9a50b5b3065ee982c Mon Sep 17 00:00:00 2001
From: Vladimir <87763796+moiseevv@users.noreply.github.com>
Date: Tue, 25 Oct 2022 20:34:22 +0700
Subject: [PATCH 3/6] use arg
---
use_arg.ipynb | 403 ++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 403 insertions(+)
create mode 100644 use_arg.ipynb
diff --git a/use_arg.ipynb b/use_arg.ipynb
new file mode 100644
index 0000000..c14db80
--- /dev/null
+++ b/use_arg.ipynb
@@ -0,0 +1,403 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "639371c1",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Welcome\n",
+ "to\n",
+ "\n",
+ "Python!\n"
+ ]
+ }
+ ],
+ "source": [
+ "print('Welcome\\nto\\n\\nPython!')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "7b704a41",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Display \"hi\" and 'bye' in quotes\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"\"\"Display \"hi\" and 'bye' in quotes\"\"\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "35633e34",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "tuple"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "a=10,5\n",
+ "type(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "30e4fa59",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(10, 5)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "a"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "93ee8a5e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "10"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "a[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "9298c79d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "12"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "min(36, 27, 12)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "38215670",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "5"
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "min(a)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "0505c100",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "(10, 5) < > 20 < > 30\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(a, 20, 30, sep=' < > ')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 23,
+ "id": "56cbc069",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "5\n",
+ "6\n",
+ "7\n",
+ "8\n",
+ "9\n",
+ "10\n"
+ ]
+ }
+ ],
+ "source": [
+ "for counter in range(5,10+1):\n",
+ " print(counter)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "d3d8e984",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from decimal import Decimal"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "5bafaea2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "principal = Decimal('1000.00')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "ab1eaace",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Decimal('1000.00')"
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "principal"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "af5d6933",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "principal = principal+1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "6dacd450",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Decimal('1001.00')"
+ ]
+ },
+ "execution_count": 35,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "principal"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "id": "66a06789",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " 1 30.00\n",
+ " 2 180.00\n",
+ " 3 1080.00\n",
+ " 4 6480.00\n",
+ " 5 38880.00\n",
+ " 6 233280.00\n",
+ " 7 1399680.00\n",
+ " 8 8398080.00\n",
+ " 9 50388480.00\n",
+ "10 302330880.00\n"
+ ]
+ }
+ ],
+ "source": [
+ "for year in range(1, 11):\n",
+ " principal = 5\n",
+ " rate = 5\n",
+ " amount = principal * (1 + rate) ** year\n",
+ " print(f'{year:>2}{amount:>20.2f}')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "id": "1de14f2a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "397\n",
+ "5\n"
+ ]
+ }
+ ],
+ "source": [
+ "grades = [85, 93, 45, 89, 85]\n",
+ "print(sum(grades))\n",
+ "print(len(grades))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "a471d64e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def aver(*ar):\n",
+ " '''Определение среднего'''\n",
+ " sum_a = sum(*ar)\n",
+ " len_a = len(*ar)\n",
+ " h = sum_a/len_a\n",
+ " return h"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "bf7c34e0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "13.333333333333334"
+ ]
+ },
+ "execution_count": 51,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "lis = [10,20,10]\n",
+ "aver(lis)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "id": "8fd6921f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "10.0"
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "j = (10,10)\n",
+ "aver(j)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3ac42681",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
From 197c797756485022740ec7dfcdd2e41961748d4d Mon Sep 17 00:00:00 2001
From: Vladimir <87763796+moiseevv@users.noreply.github.com>
Date: Wed, 26 Oct 2022 05:57:23 +0700
Subject: [PATCH 4/6] nampy & pandas
---
np&pd.ipynb | 2163 +++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 2163 insertions(+)
create mode 100644 np&pd.ipynb
diff --git a/np&pd.ipynb b/np&pd.ipynb
new file mode 100644
index 0000000..1027761
--- /dev/null
+++ b/np&pd.ipynb
@@ -0,0 +1,2163 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "d6ebb10f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "7e4ffdff",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "numbers = np.array([2, 3, 5, 7, 11])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "ba601940",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "numpy.ndarray"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "type(numbers)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "2a70a3f1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([ 2, 3, 5, 7, 11])"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "numbers"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "5a402af5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "numbers[1]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "7b3e3449",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "y = np.int_([1,2,4])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "f956ece3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([1, 2, 4])"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "y"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "9f35c784",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "y.size"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "f9c72b1b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "5"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "numbers.size"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "d4f0b1b7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "4"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "numbers.itemsize"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "047d0825",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "2\n",
+ "3\n",
+ "5\n",
+ "7\n",
+ "11\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in numbers.flat:\n",
+ " print(i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "3410ff91",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "integers = np.array([[1, 2, 3], [4, 5, 6]])\n",
+ "floats = np.array([0.0, 0.1, 0.2, 0.3, 0.4])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "eb677832",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "integers.ndim"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "66f1961b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(2, 3)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "integers.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "3e8908fa",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "1"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "y.ndim"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "6e2efc4c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(3,)"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "y.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "11d195f1",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[1 2 3]\n",
+ "[4 5 6]\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in integers:\n",
+ " print(i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "f20098ba",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1\n",
+ "2\n",
+ "3\n",
+ "4\n",
+ "5\n",
+ "6\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in integers.flat:\n",
+ " print(i)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "33d95819",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[13, 13, 13, 13, 13],\n",
+ " [13, 13, 13, 13, 13],\n",
+ " [13, 13, 13, 13, 13]])"
+ ]
+ },
+ "execution_count": 21,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.full((3, 5), 13)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "id": "d5fd9c50",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "li = np.ones((20, 4), dtype=int)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "07ac8a61",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1],\n",
+ " [1, 1, 1, 1]])"
+ ]
+ },
+ "execution_count": 26,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "li"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "c00fa46c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2"
+ ]
+ },
+ "execution_count": 29,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "li.ndim"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "c06bebb9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(20, 4)"
+ ]
+ },
+ "execution_count": 32,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "li.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "2be511f5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([5, 6, 7, 8, 9])"
+ ]
+ },
+ "execution_count": 33,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.arange(5, 10)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "id": "dca8ff67",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([10, 8, 6, 4, 2])"
+ ]
+ },
+ "execution_count": 34,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.arange(10, 1, -2)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "c9fab483",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([0. , 0.25, 0.5 , 0.75, 1. ])"
+ ]
+ },
+ "execution_count": 35,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.linspace(0.0, 1.0, num=5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 36,
+ "id": "317bfe24",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[ 1, 2, 3, 4, 5],\n",
+ " [ 6, 7, 8, 9, 10],\n",
+ " [11, 12, 13, 14, 15],\n",
+ " [16, 17, 18, 19, 20]])"
+ ]
+ },
+ "execution_count": 36,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "np.arange(1, 21).reshape(4, 5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "269e310a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import random"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "952bf4e6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "9.66 s ± 1.07 s per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
+ ]
+ }
+ ],
+ "source": [
+ "%timeit rolls_list = [random.randrange(1, 7) for i in range(0, 6_000_000)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "id": "a89c635e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "126 ms ± 32.9 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
+ ]
+ }
+ ],
+ "source": [
+ "%timeit rolls_array = np.random.randint(1, 7, 6_000_000)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "id": "40dd0bd0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "numbers2 = np.linspace(1.1, 5.5, 5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "148ddf6e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([1.1, 2.2, 3.3, 4.4, 5.5])"
+ ]
+ },
+ "execution_count": 49,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "numbers2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "2049b83d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([False, False, False, False, False])"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "numbers >= 13"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 53,
+ "id": "190ff68d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "id": "0f253f1a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "grades = pd.Series([87, 100, 94])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "id": "88f80b11",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 87\n",
+ "1 100\n",
+ "2 94\n",
+ "dtype: int64"
+ ]
+ },
+ "execution_count": 57,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "id": "8bdf704f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 98.6\n",
+ "1 98.6\n",
+ "2 98.6\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 58,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "pd.Series(98.6, range(3))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "id": "b7f2e636",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "3"
+ ]
+ },
+ "execution_count": 59,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades.count()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 60,
+ "id": "e24a1bea",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "87"
+ ]
+ },
+ "execution_count": 60,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades.min()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 61,
+ "id": "16c1d0b9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "6.506407098647712"
+ ]
+ },
+ "execution_count": 61,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades.std()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 62,
+ "id": "723f8cec",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "count 3.000000\n",
+ "mean 93.666667\n",
+ "std 6.506407\n",
+ "min 87.000000\n",
+ "25% 90.500000\n",
+ "50% 94.000000\n",
+ "75% 97.000000\n",
+ "max 100.000000\n",
+ "dtype: float64"
+ ]
+ },
+ "execution_count": 62,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades.describe()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 63,
+ "id": "09c493b7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "grades = pd.Series([87, 100, 94], index=['Wally', 'Eva', 'Sam'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "id": "a6397b3c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Wally 87\n",
+ "Eva 101\n",
+ "Sam 94\n",
+ "dtype: int64"
+ ]
+ },
+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "id": "91eae6d5",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "grades = pd.Series({'Wally': 87, 'Eva': 101, 'Sam': 94})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "id": "78e32498",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "101"
+ ]
+ },
+ "execution_count": 69,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades['Eva']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "id": "e4cf6e19",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "87"
+ ]
+ },
+ "execution_count": 70,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades.Wally"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "id": "3d04d8e2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([ 87, 101, 94], dtype=int64)"
+ ]
+ },
+ "execution_count": 71,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "grades.values"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "id": "5a3e575f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "hardware = pd.Series(['Hammer', 'Saw', 'Wrench'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "id": "d9f96adf",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 True\n",
+ "1 True\n",
+ "2 False\n",
+ "dtype: bool"
+ ]
+ },
+ "execution_count": 73,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "hardware.str.contains('a')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "id": "f7780e29",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0 HAMMER\n",
+ "1 SAW\n",
+ "2 WRENCH\n",
+ "dtype: object"
+ ]
+ },
+ "execution_count": 74,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "hardware.str.upper()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "id": "7c2d3366",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "grades_dict = {'Wally': [87, 96, 70], 'Eva': [100, 87, 90],'Sam': [94, 77, 90], 'Katie': [100, 81, 82], 'Bob': [83, 65, 85]}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 98,
+ "id": "de590745",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "grades = pd.DataFrame(grades_dict)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 99,
+ "id": "1339559b",
+ "metadata": {},
+ "outputs": [
+ {
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\n",
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\n",
+ " \n",
+ " | Test2 | \n",
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\n",
+ " \n",
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\n",
+ " \n",
+ " | mean | \n",
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+ " 92.333333 | \n",
+ " 87.000000 | \n",
+ " 87.666667 | \n",
+ " 77.666667 | \n",
+ "
\n",
+ " \n",
+ " | std | \n",
+ " 13.203535 | \n",
+ " 6.806859 | \n",
+ " 8.888194 | \n",
+ " 10.692677 | \n",
+ " 11.015141 | \n",
+ "
\n",
+ " \n",
+ " | min | \n",
+ " 70.000000 | \n",
+ " 87.000000 | \n",
+ " 77.000000 | \n",
+ " 81.000000 | \n",
+ " 65.000000 | \n",
+ "
\n",
+ " \n",
+ " | 25% | \n",
+ " 78.500000 | \n",
+ " 88.500000 | \n",
+ " 83.500000 | \n",
+ " 81.500000 | \n",
+ " 74.000000 | \n",
+ "
\n",
+ " \n",
+ " | 50% | \n",
+ " 87.000000 | \n",
+ " 90.000000 | \n",
+ " 90.000000 | \n",
+ " 82.000000 | \n",
+ " 83.000000 | \n",
+ "
\n",
+ " \n",
+ " | 75% | \n",
+ " 91.500000 | \n",
+ " 95.000000 | \n",
+ " 92.000000 | \n",
+ " 91.000000 | \n",
+ " 84.000000 | \n",
+ "
\n",
+ " \n",
+ " | max | \n",
+ " 96.000000 | \n",
+ " 100.000000 | \n",
+ " 94.000000 | \n",
+ " 100.000000 | \n",
+ " 85.000000 | \n",
+ "
\n",
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+ "
\n",
+ "
\n",
+ "\n",
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\n",
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+ " Bob | \n",
+ " Eva | \n",
+ " Katie | \n",
+ " Sam | \n",
+ " Wally | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | Test1 | \n",
+ " 83 | \n",
+ " 100 | \n",
+ " 100 | \n",
+ " 94 | \n",
+ " 87 | \n",
+ "
\n",
+ " \n",
+ " | Test2 | \n",
+ " 65 | \n",
+ " 87 | \n",
+ " 81 | \n",
+ " 77 | \n",
+ " 96 | \n",
+ "
\n",
+ " \n",
+ " | Test3 | \n",
+ " 85 | \n",
+ " 90 | \n",
+ " 82 | \n",
+ " 90 | \n",
+ " 70 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
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\n",
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+ " | \n",
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+ " Sam | \n",
+ " Katie | \n",
+ " Bob | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | Test1 | \n",
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+ " 100 | \n",
+ " 94 | \n",
+ " 100 | \n",
+ " 83 | \n",
+ "
\n",
+ " \n",
+ " | Test2 | \n",
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+ " 87 | \n",
+ " 77 | \n",
+ " 81 | \n",
+ " 65 | \n",
+ "
\n",
+ " \n",
+ " | Test3 | \n",
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+ " 90 | \n",
+ " 90 | \n",
+ " 82 | \n",
+ " 85 | \n",
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\n",
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\n",
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\n",
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\n",
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+ " Sam | \n",
+ " Wally | \n",
+ " Bob | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | Test1 | \n",
+ " 100 | \n",
+ " 100 | \n",
+ " 94 | \n",
+ " 87 | \n",
+ " 83 | \n",
+ "
\n",
+ " \n",
+ " | Test2 | \n",
+ " 87 | \n",
+ " 81 | \n",
+ " 77 | \n",
+ " 96 | \n",
+ " 65 | \n",
+ "
\n",
+ " \n",
+ " | Test3 | \n",
+ " 90 | \n",
+ " 82 | \n",
+ " 90 | \n",
+ " 70 | \n",
+ " 85 | \n",
+ "
\n",
+ " \n",
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\n",
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