{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vHFI6GfMGMSm"
   },
   "source": [
    "# Introduction to Python   \n",
    "\n",
    "### Numpy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "1M6ZR6T6GrFW"
   },
   "source": [
    "#### 1) Create a function that receives an integer N as argument and returns a matrix $N x N$ with \"ones\" on the edges and \"zeros\" inside"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "nkPlX2_YHVBJ"
   },
   "source": [
    "#### 2) Create a function that transpose a matrix without using the method np.transpose or np.array.T."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "BjQQns18IJTN"
   },
   "source": [
    "#### 3) Create two 1d arrays with length 10 that contains random integers from 0 to 1000. How many iterations does it take until the sum of their values are the same?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "3rd Assignment.ipynb",
   "provenance": []
  },
  "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}