my-captain-data-analytics-with-python-task-2.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"<h3>My Captain Data Analytics with python DEC 2021\nTask 2 : To define 2 set variables and to perform different set operations like Union,Intersection,Difference and Symmetric Difference</h3>","metadata":{}},{"cell_type":"code","source":"import random\nprint(\"Enter the number of elements you want in the two sets:-\")\nElements_in_set_1 = int(input(\"Number of elements in set 1 : \"))\nElements_in_set_2 = int(input(\"Number of elements in set 2 : \"))\nList_1 = []\nList_2 = []\nfor i in range (0,Elements_in_set_1):\n    i = random.randint(0,100)\n    List_1.append(i)\nfor j in range (0,Elements_in_set_2):\n    j = random.randint(0,100)\n    List_2.append(j)\nSet_1 = set(List_1)\nSet_2 = set(List_2)\nprint(\"The two sets are:\")\nprint(\"Set 1: \", Set_1)\nprint(\"Set 2: \", Set_2)\nprint(\"The union of two sets is:\")\nprint(\"Set_1 Union Set_2: \",set.union(Set_1,Set_2))\nprint(\"The intersection of two sets is:\")\nprint(\"Set_1 intersection Set_2: \",set.intersection(Set_1,Set_2))\nprint(\"The difference of two sets is:\")\nprint(\"Set_1 difference Set_2: \",set.difference(Set_1,Set_2))\nprint(\"The Symmetric difference of two sets is:\")\nprint(\"Set_1 Symmetric difference Set_2: \",set.symmetric_difference(Set_1,Set_2))","metadata":{"execution":{"iopub.status.busy":"2021-12-22T05:25:50.194889Z","iopub.execute_input":"2021-12-22T05:25:50.195110Z","iopub.status.idle":"2021-12-22T05:25:53.704156Z","shell.execute_reply.started":"2021-12-22T05:25:50.195088Z","shell.execute_reply":"2021-12-22T05:25:53.703418Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}