{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b3030b51-4344-419e-ac8d-6b82aadd3039",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c30cae3d-231c-4387-ad38-45d40c548620",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 3]\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1,2,3])\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cc134d28-dde6-4379-b0c0-8fee055ee86b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6fa02d03-4e2e-46b0-985f-1ea1ec452fdb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=np.array([[1,2,3],[4,5,6]])\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f3886432-fc88-4b08-90f8-ea05108977ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.+0.j, 2.+0.j, 3.+0.j],\n",
       "       [4.+0.j, 5.+0.j, 6.+0.j]], dtype=complex64)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=np.array([[1,2,3],[4,5,6]],dtype=np.complex64)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c020e956-5a47-4088-9d7c-278b53d48233",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (1686139774.py, line 2)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;36m  Cell \u001b[0;32mIn[10], line 2\u001b[0;36m\u001b[0m\n\u001b[0;31m    [4.+0.j,5.+0.j,6.+0.j]],dtype=complex64)\u001b[0m\n\u001b[0m                                 ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "array=([[1.+0.j,2.+0.j,3.+0.j],\n",
    "       [4.+0.j,5.+0.j,6.+0.j]],dtype=complex64)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "09f5ea61-1723-4dd6-b4e6-67d8c59d7637",
   "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": "3.8.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}