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‎maymee/Ex2_datatypes.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/Maymee614/PythonProgramming/blob/main/maymee/Ex2_datatypes.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "X_Unw3z9u2-7"
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},
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"source": [
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"Ex 1 : Check the lenght of the string \"My name is python\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "9I4x5QjcTeme",
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"outputId": "a41c6a0c-e14c-4df4-aec2-8fb13c59abb9"
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},
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"6"
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]
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},
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"metadata": {},
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"execution_count": 2
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}
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],
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"source": [
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"my_name=\"python\"\n",
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"len(my_name)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "1AIZGQszTemf"
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},
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"source": [
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"Ex 2: Check the number of times \"python\" (regardless of cases: PYTHON, python, Python\" appears in the paragraph : \"Floating-point values in Python are always done in double precision; hence, Python float types correspond to doubles in a C-like language.\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 55,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "R_4NHTt0Temg",
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"outputId": "162e2818-c331-4d0b-e945-ae7d7c3ff981"
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},
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"outputs": [
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{
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"output_type": "execute_result",
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"data": {
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"text/plain": [
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"2"
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]
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},
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"metadata": {},
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"execution_count": 55
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}
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],
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"source": [
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"my_str = \"Floating-point values in Python are always done in double precision; hence, Python float types correspond to doubles in a C-like language.\"\n",
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"my_str.count(\"Python\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "irUaOorkTemh"
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},
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"source": [
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"Ex 3: Combine two lists : ls1 = [\"apple\", \"banana\", \"cherry\"] and ls2 = [\"apple\", \"banana\", \"cherry\", \"apple\", \"cherry\"]. Print the number of elements in new list."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "eYvGC_qWTemh",
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"outputId": "b8b645af-c548-4aed-b9c4-ddff08821bd7"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"8\n"
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]
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}
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],
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"source": [
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"ls1 = [\"apple\", \"banana\", \"cherry\"]\n",
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"ls2 = [\"apple\", \"banana\", \"cherry\", \"apple\", \"cherry\"]\n",
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"combined = ls1 + ls2\n",
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"print(len(combined))\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Zaq7CJZQTemi"
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},
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"source": [
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"| Name | Age |\n",
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"| --- | --- |\n",
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"| Myo | 32 |\n",
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"| Thida | 64 |"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "MCGMjSdNTemh"
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},
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"source": [
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"Ex 4: Create a dictionary for the following table:"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "kTaWp8mYTemi"
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},
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"source": [
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"Ex 5: Combine two sets and print the combined set and its length.\n",
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"set1 = {\"Name\", \"age\", \"Height\"}\n",
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"set2 = {\"Name\", \"status\", \"Education\"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 56,
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"metadata": {
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"id": "GjJJssxWTemj"
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},
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"outputs": [],
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"source": [
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"my_set1 = {\"Name\", \"age\", \"Height\"}\n",
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"my_set2 = {\"Name\", \"status\", \"Education\"}\n",
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"combined_set = my_set1.add(\"my_set2\")\n",
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"\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "-iy-DIICTemj"
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},
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"source": [
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"Ex 6: Write a program that asks the user to enter a string. The program should create a new string called new_string from the user's string such that the second character is changed to an asterisk and three exclamation points are attached to the end of the string. Finally, print new_string."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 88,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "K7yzdfu-Temj",
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"outputId": "a097d6b5-f81e-47e9-ca88-44fe29c08657"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Modified string: M*yme!!!\n"
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]
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}
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],
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"source": [
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"user_string = \"Mayme\"\n",
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"len(user_string)\n",
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"\n",
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"new_string = user_string[0] + '*' + user_string[2:]\n",
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"new_string += '!!!'\n",
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"\n",
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"print(\"Modified string:\", new_string)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Van08VcdTemk"
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},
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"source": [
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"Ex 7: Write a program that converts the given string 's' to lowercase, removes all Punctuation marks such as period, hyphen, and commas from 's', and prints the resulting string."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 102,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "crXxyIfyTemk",
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"outputId": "d8f98871-5e71-4ff0-82f0-3a2997ae1dc0"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"floating-point values in python are always done in double precision; hence, python float types correspond to doubles in a c-like language\n",
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"floatingpoint values in python are always done in double precision; hence, python float types correspond to doubles in a clike language\n",
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"floatingpoint values in python are always done in double precision; hence python float types correspond to doubles in a clike language\n"
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]
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}
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],
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"source": [
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"s = \"Floating-point values in Python are always done in double precision; hence, Python float types correspond to doubles in a C-like language.\"\n",
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"s = s.lower()\n",
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"for char in ['.', '-', ',']:\n",
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" s = s.replace(char, '')\n",
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" print(s)\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "5kAI7D8HTemk"
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},
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"source": [
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"Ex 8: L1 and L2 should be identical. Write a program that finds the missing number in L2."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 105,
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"metadata": {
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"id": "y_YJB3MsTemk"
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},
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"outputs": [],
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"source": [
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"from random import randint\n",
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"L1 = list(range(1,101))\n",
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"L2 = L1.copy()\n",
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"L2.remove(randint(1,101))\n",
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"\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "MLCtlSaxTeml"
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},
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"source": [
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"Ex 9: Write a program to copy the ls1 = [\"apple\", \"banana\", \"cherry\"] to a new list. Add the element \"blueberry\" to the new list, but keep the original list the same."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 109,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "MaXIzJC8Teml",
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"outputId": "a6810c84-161d-4187-f041-368496e690b4"
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"New list: ['apple', 'banana', 'cherry', 'blueberry']\n"
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]
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}
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],
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"source": [
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"ls1 = [\"apple\", \"banana\", \"cherry\"]\n",
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"new_list = ls1.copy()\n",
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"new_list.append(\"blueberry\")\n",
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"print(\"New list:\", new_list)"
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]
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}
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],
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"metadata": {
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"colab": {
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"name": "Ex_2_datatypes.ipynb",
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"provenance": [],
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"include_colab_link": true
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},
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

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