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seminar_2_empty.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "81a927b5",
+   "metadata": {},
+   "source": [
+    "# Seminar: Lists, dictionaries, functions, exceptions\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7917a993",
+   "metadata": {},
+   "source": [
+    "### Task 1. \n",
+    "\n",
+    "Write a function which will sum up all values in the list"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1401ca62",
+   "metadata": {},
+   "source": [
+    "#### a. For the case when input is list of integers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8750cd32",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e06770f1",
+   "metadata": {},
+   "source": [
+    "#### b. What will be if the input is list of strings?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c4aa17cc",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d67d8c92",
+   "metadata": {},
+   "source": [
+    "#### c. Rewrite the function in the way that we will get a message 'can not work with not numerical types' if list contains not numerical elements."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d95e80d8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3240b759",
+   "metadata": {},
+   "source": [
+    "#### d. Why do we need to write the exceptions?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad2390cf",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "278db275",
+   "metadata": {},
+   "source": [
+    "### Task 2."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d3d3a943",
+   "metadata": {},
+   "source": [
+    "In this task we will work with the dictionary which is the plan for the grocery store:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "id": "eba4a98b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dic_food = {'apple':5, 'orange':4, 'onion':9}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3074601e",
+   "metadata": {},
+   "source": [
+    "#### a. Calculate how many products in total do we have. How many fruits?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d13457fd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a3ca5ec2",
+   "metadata": {},
+   "source": [
+    "#### b. Add one more apple and change the numbers of onions to 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d85c63a1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7c03197c",
+   "metadata": {},
+   "source": [
+    "#### c. Make the same dictionary from the lists: "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "167aca00",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prod_name = ['apple', 'orange', 'onion']\n",
+    "prod_amount = [1,5,5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "31f17c02",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3649c1cb",
+   "metadata": {},
+   "source": [
+    "#### d. What will happened if we have dublicates in the list of keys?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c66a0a13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prod_name = ['apple', 'orange', 'onion', 'apple']\n",
+    "prod_amount = [1,5,3,5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c5aec52",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "873a48f6",
+   "metadata": {},
+   "source": [
+    "### Task 3 (from HW) leetcode 219. Contains Duplicate II\n",
+    "https://leetcode.com/problems/contains-duplicate-ii/\n",
+    "\n",
+    "Given an integer array nums and an integer k, return true if there are two distinct indices i and j in the array such that \n",
+    "\n",
+    "nums[ i ] == nums[ j ] and abs(i - j) <= k."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e168222a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def containsNearbyDuplicate(self, nums, k):\n",
+    "    \"\"\"\n",
+    "    :type nums: List[int]\n",
+    "    :type k: int\n",
+    "    :rtype: bool\n",
+    "    \"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae231b73",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "689d6ae1",
+   "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": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}