05_Basics_Of_Algorithm_Implementation.ipynb

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    "# Basics of Algorithm Implementation\n",
    "_________________________________________________________\n",
    "### Table of Contents\n",
    "\n",
    "1. [What is an Algorithm?](#paragraph1)\n",
    "2. [Algorithms and Programming](#paragraph2)\n",
    "3. [Algorithm Implementation](#paragraph3)\n",
    "4. [Algorithms in Action](#paragraph4)\n",
    "5. [Coding an Algorithm](#paragraph5)\n",
    "6. [Sorting Algorithms](#paragraph6)\n",
    "7. [Performance measurement of sorting algorithms](#paragraph7)\n",
    "8. [Optimizing algorithm implementation performance](#paragraph8)\n",
    "9. [Further ideas for optimization](#paragraph9)\n",
    "10. [Implementation issues](#paragraph10)\n"

   ]
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    "# What is an Algorithm? <a class=\"anchor\" id=\"paragraph1\"></a>\n",
    "\n",
    "There are many ways of conceptualizing what an algorithm is, but the gist of it is that it comprises a set of rules that precisely defines a sequence of operations.\n",
    "\n",
    "This can apply to almost anything from how to go about counting things, to solving a math problem, or even baking a cake.\n",
    "\n",
    "What is important is that there is an order of instructions in which inputs are being handled and transformed into useful outputs."
   ]
  },
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    }
   },
   "cell_type": "markdown",
   "id": "a7f6e420",
   "metadata": {},
   "source": [
    "![ProgAlgoCake.jpg](attachment:ProgAlgoCake.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d74ed58b",
   "metadata": {},
   "source": [
    "To further elaborate on this, we will introduce some useful principles for designing algorithms:\n",
    "\n",
    "•\t**Clear and Unambiguous**:  Each step should be clear in all aspects and must be interpretable in a consistent way.\n",
    "\n",
    "•\t**Well-Defined Inputs**: If an algorithm requires inputs, they should be well-defined.\n",
    "\n",
    "•\t**Well-Defined Outputs**: The algorithm must clearly communicate what output it yields.\n",
    "\n",
    "•\t**Finite-ness**: An algorithm must be finite, i.e. it should not loop infinitely without producing a useful output.\n",
    "\n",
    "•\t**Feasible**: The algorithm must be implementable with the available resources (e.g., time, budget, hardware constraints).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db195f49",
   "metadata": {},
   "source": [
    "# Algorithms and Programming <a class=\"anchor\" id=\"paragraph2\"></a>\n",
    "\n",
    "Now that we have defined what an algorithm is, the next step is to consider how to utilize them in a programming context.\n",
    "\n",
    "The following process is a useful starting point for getting from a problem to a working solution:\n",
    "\n",
    "1.\tUnderstand the problem \n",
    "2.\tThink of alternative solutions to the problem.\n",
    "3.\tWrite down the solution, diagram, flowcharts, pseudocode.\n",
    "4.\tPick a programming language and code up the program. \n",
    "5.\tDebug the code, make sure that the code does what you want it to do.\n",
    "\n",
    "It is important to document the program with useful comments, use expressive variable names, and apply consistent indentation throughout the whole process. Make it easy for others and yourself to follow your train of thought when having to review your work.\n",
    "\n",
    "When trying to better **understand the problem**, a powerful method is to apply the principle of divide and conquer to break down complex problems into less complex ones.\n",
    "\n",
    "As you develop a better **understanding of the problem**, you will naturally think of alternative solutions. You want to be careful with going all-in on solving the first solution that comes to mind since you might discover it to be unfeasible or time-consuming down the line. Hence you should be open to new ideas as they come to you."
   ]
  },
  {
   "attachments": {
    "1%20and%202%20stepv2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "ce289d06",
   "metadata": {},
   "source": [
    "![1%20and%202%20stepv2.png](attachment:1%20and%202%20stepv2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72b9d6df",
   "metadata": {},
   "source": [
    "# Algorithm Implementation <a class=\"anchor\" id=\"paragraph3\"></a>\n",
    "\n",
    "Many considerations go into picking a programming language. Among those is, for example, the “level” of a programming language, ranging from low to high. The list below ranks several different languages. The lowest level corresponds to direct instructions to the CPU.\n",
    "\n",
    "## Low to high level programming languages"
   ]
  },
  {
   "attachments": {
    "Levels-3-2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "012a496c",
   "metadata": {},
   "source": [
    "![Levels-3-2.png](attachment:Levels-3-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecff617e",
   "metadata": {},
   "source": [
    "The reason you have to assess what level you want to utilize is that different languages provide different levels of freedoms and responsibilities with how you structure your code because they use different compilers and interpreters (compiles in real-time). These are pieces of software that translate what we are writing into something the computer can understand.\n",
    "\n",
    "Therefore, different languages have different weaknesses and strengths, e.g. Python performing matrix-algebra faster with arrays than with for-loops. Usually higher level languages trade lower-level control for ease of use, resulting in quicker implementation but slower execution.\n",
    "\n",
    "After we have chosen our language, translated and implemented our algorithm, we can evaluate our program using the following three concepts:\n",
    "\n",
    "•\t**Correctness**: The program does what we want it to do. \n",
    "\n",
    "•\t**Design**: The implementation of the solution solution isn’t needlessly verbose, there are no redundancies, no copy & paste, explicit is better than implicit. \n",
    "\n",
    "•\t**Style**: The code is easy to read by a 3rd person, which might even be yourself in the future. For this purpose, instructions should be explicit rather than implicit, which includes good documentation.\n",
    "\n",
    "Furthermore, you can also evaluate the complexity of the algorithm by time and  space. \n",
    "\n",
    "**Time complexity** quantifies the amount of time taken by an algorithm to run as a function of the length of the input. \n",
    "\n",
    "**Space complexity** on the other hand quantifies the amount of memory or space the algorithm takes to run as a function of the length of the input."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44c3f2db",
   "metadata": {},
   "source": [
    "# Algorithms in Action <a class=\"anchor\" id=\"paragraph4\"></a>\n",
    "\n",
    "Before diving into the more technical aspects of designing algorithms, let's introduce a practical use case and construct a handcrafted solution to develop a better intuition for algorithms in action. Feel free to browse through this section at your own pace and return later when you've mastered the basics of algorithm implementation. The purpose of this section is to show how we might develop a solution from start to finish for a concrete problem you might encounter in a real life situation.\n",
    "\n",
    "In the domain of natural language processing (NLP), for example, algorithms manipulate text/speech to produce useful outputs. NLP is used in many day-to-day applications like translation, chatbots, and sentiment analysis (the process of classifying the opinion of an author about a given subject, e.g. through reviews, news articles, and social media posts). In the following, we will tackle the problem of record linkage.\n",
    "\n",
    "In 2017, _The Economist_ highlighted that \"the world’s most valuable resource is no longer oil, but data\". Businesses possess heaps of data that must be cleaned and consolidated before they can create added value. Record linkage is a useful method for automating the process of linking dispersed datasets. For the purposes of this tutorial we will program a solution by hand to illustrate the process of developing an algorithm.\n",
    "\n",
    "For this example, we will import a dataset from the Freely Extensible Biomedical Record Linkage (Febrl) package which [\"contains 1000 records (500 original and 500 duplicates), with exactly one duplicate per original record”](https://recordlinkage.readthedocs.io/en/latest/ref-datasets.html). We will split the dataset in two and attempt to consolidate the dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "id": "9dccec5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>given_name</th>\n",
       "      <th>surname</th>\n",
       "      <th>street_number</th>\n",
       "      <th>address_1</th>\n",
       "      <th>address_2</th>\n",
       "      <th>suburb</th>\n",
       "      <th>postcode</th>\n",
       "      <th>state</th>\n",
       "      <th>date_of_birth</th>\n",
       "      <th>soc_sec_id</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>rec-0-dup-0</th>\n",
       "      <td>thomas</td>\n",
       "      <td>rokobaro</td>\n",
       "      <td>12</td>\n",
       "      <td>herschell circuit</td>\n",
       "      <td>killanrey</td>\n",
       "      <td>lawrence</td>\n",
       "      <td>2272</td>\n",
       "      <td>nsw</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1451137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-0-org</th>\n",
       "      <td>flynn</td>\n",
       "      <td>rokobaro</td>\n",
       "      <td>12</td>\n",
       "      <td>herschell circuit</td>\n",
       "      <td>killarney</td>\n",
       "      <td>lawrence</td>\n",
       "      <td>2227</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19720812</td>\n",
       "      <td>1451137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-1-dup-0</th>\n",
       "      <td>karli</td>\n",
       "      <td>alderson</td>\n",
       "      <td>144</td>\n",
       "      <td>nulsen circuit</td>\n",
       "      <td>iowanna</td>\n",
       "      <td>tings lpa</td>\n",
       "      <td>3139</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19510826</td>\n",
       "      <td>9541034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-1-org</th>\n",
       "      <td>karli</td>\n",
       "      <td>alderson</td>\n",
       "      <td>144</td>\n",
       "      <td>nulsen circuit</td>\n",
       "      <td>iowanna</td>\n",
       "      <td>tingalpa</td>\n",
       "      <td>3139</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19510826</td>\n",
       "      <td>9541034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-10-dup-0</th>\n",
       "      <td>kayla</td>\n",
       "      <td>harrington</td>\n",
       "      <td>NaN</td>\n",
       "      <td>maltby circuit</td>\n",
       "      <td>coaling</td>\n",
       "      <td>coolaroo</td>\n",
       "      <td>3465</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19150612</td>\n",
       "      <td>9004242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-10-org</th>\n",
       "      <td>kayla</td>\n",
       "      <td>harrington</td>\n",
       "      <td>38</td>\n",
       "      <td>maltby circuit</td>\n",
       "      <td>coaling</td>\n",
       "      <td>coolaroo</td>\n",
       "      <td>3465</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19150612</td>\n",
       "      <td>9004242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-100-dup-0</th>\n",
       "      <td>luchetti</td>\n",
       "      <td>tiana</td>\n",
       "      <td>112</td>\n",
       "      <td>totterdell street</td>\n",
       "      <td>villa 5</td>\n",
       "      <td>toowoomba</td>\n",
       "      <td>2008</td>\n",
       "      <td>sa</td>\n",
       "      <td>19050127</td>\n",
       "      <td>2712503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-100-org</th>\n",
       "      <td>tiana</td>\n",
       "      <td>luchetti</td>\n",
       "      <td>112</td>\n",
       "      <td>totterdell street</td>\n",
       "      <td>villa 5</td>\n",
       "      <td>toowoomba</td>\n",
       "      <td>2008</td>\n",
       "      <td>sa</td>\n",
       "      <td>19050127</td>\n",
       "      <td>2712503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-101-dup-0</th>\n",
       "      <td>amberr</td>\n",
       "      <td>coulson</td>\n",
       "      <td>26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>meilene retirement</td>\n",
       "      <td>whitfield</td>\n",
       "      <td>3986</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19950320</td>\n",
       "      <td>3079240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rec-101-org</th>\n",
       "      <td>amber</td>\n",
       "      <td>whillas</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>meilene retirement</td>\n",
       "      <td>whitfield</td>\n",
       "      <td>3987</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19950320</td>\n",
       "      <td>3079240</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              given_name     surname street_number          address_1  \\\n",
       "rec_id                                                                  \n",
       "rec-0-dup-0       thomas    rokobaro            12  herschell circuit   \n",
       "rec-0-org          flynn    rokobaro            12  herschell circuit   \n",
       "rec-1-dup-0        karli    alderson           144     nulsen circuit   \n",
       "rec-1-org          karli    alderson           144     nulsen circuit   \n",
       "rec-10-dup-0       kayla  harrington           NaN     maltby circuit   \n",
       "rec-10-org         kayla  harrington            38     maltby circuit   \n",
       "rec-100-dup-0   luchetti       tiana           112  totterdell street   \n",
       "rec-100-org        tiana    luchetti           112  totterdell street   \n",
       "rec-101-dup-0     amberr     coulson            26                NaN   \n",
       "rec-101-org        amber     whillas             3                NaN   \n",
       "\n",
       "                        address_2     suburb postcode state date_of_birth  \\\n",
       "rec_id                                                                      \n",
       "rec-0-dup-0             killanrey   lawrence     2272   nsw           NaN   \n",
       "rec-0-org               killarney   lawrence     2227   nsw      19720812   \n",
       "rec-1-dup-0               iowanna  tings lpa     3139   nsw      19510826   \n",
       "rec-1-org                 iowanna   tingalpa     3139   nsw      19510826   \n",
       "rec-10-dup-0              coaling   coolaroo     3465   nsw      19150612   \n",
       "rec-10-org                coaling   coolaroo     3465   nsw      19150612   \n",
       "rec-100-dup-0             villa 5  toowoomba     2008    sa      19050127   \n",
       "rec-100-org               villa 5  toowoomba     2008    sa      19050127   \n",
       "rec-101-dup-0  meilene retirement  whitfield     3986   nsw      19950320   \n",
       "rec-101-org    meilene retirement  whitfield     3987   nsw      19950320   \n",
       "\n",
       "              soc_sec_id  \n",
       "rec_id                    \n",
       "rec-0-dup-0      1451137  \n",
       "rec-0-org        1451137  \n",
       "rec-1-dup-0      9541034  \n",
       "rec-1-org        9541034  \n",
       "rec-10-dup-0     9004242  \n",
       "rec-10-org       9004242  \n",
       "rec-100-dup-0    2712503  \n",
       "rec-100-org      2712503  \n",
       "rec-101-dup-0    3079240  \n",
       "rec-101-org      3079240  "
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from recordlinkage.datasets import load_febrl1\n",
    "\n",
    "# Import dataset and sort the dataframe by the record id\n",
    "df = load_febrl1(return_links=False).sort_values(by=['rec_id'])\n",
    "\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da6e9aad",
   "metadata": {},
   "source": [
    "Based on the above excerpt, we can observe that sometimes names don't entirely match, the surname and given name are swapped, entries are missing, or addresses are spelled differently. It would be incredibly time consuming to manually separate duplicate entries. Therefore, after mixing the dataset, we will design an algorithm that will identify matching entries for us."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "id": "487c45b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separate all duplicate and original entries by extracting every second entry, \n",
    "# starting at the 0th and 1st index respectively\n",
    "dup = df[::2]\n",
    "org = df[1::2]\n",
    "\n",
    "# Split each dataset in two (each contains 250 rows)\n",
    "sp = int(len(dup) / 2)\n",
    "dup_1 = dup[:sp]\n",
    "dup_2 = dup[sp:]\n",
    "org_1 = org[:sp]\n",
    "org_2 = org[sp:]\n",
    "\n",
    "# Combine the dataframes such that each dataframe contains the duplicates/originals\n",
    "# of the other dataframe, and randomize the order of the rows\n",
    "df1 = org_1.append(dup_2).sample(frac = 1)\n",
    "df2 = org_2.append(dup_1).sample(frac = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c06c8ac",
   "metadata": {},
   "source": [
    "## Coding an Algorithm <a class=\"anchor\" id=\"paragraph5\"></a>\n",
    "\n",
    "Based on the following [YouTube tutorial](https://www.youtube.com/watch?v=We3YDTzNXEk), we have programmed an algorithm that computes the Levenshtein distance between two strings. Simply put, Levenshtein distance determines the number of operations required to transform one string into another, where the possible operations are insertion, deletion, and substitution. We will use this algorithm to identify rows with minimum edit distance between each other. Depending on the issues we are facing, we may have to resort to other techniques since our function, for example, would fail to realize that the surname and given name were swapped for record 100. However, given that the other columns match, our solution should in this case still be sufficient to identify all matching rows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "id": "09a231c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def lev(a, b):\n",
    "    '''Compute Levenshtein distance for any two non-empty strings'''\n",
    "    # The following three lines of code ensure that our function will be compatible with our dataset\n",
    "    if type(a) == float or type(b) == float:\n",
    "        return float(\"NaN\")\n",
    "    a, b = str(a), str(b)\n",
    "    \n",
    "    len_a = len(a) + 1\n",
    "    len_b = len(b) + 1\n",
    "    matrix = np.zeros([len_a, len_b])\n",
    "    matrix[:, 0] = list(range(len_a))\n",
    "    matrix[0] = list(range(len_b))\n",
    "    for i in range(1, len_a):\n",
    "        for j in range(1, len_b):\n",
    "            if a[i-1] == b[j-1]:\n",
    "                matrix[i, j] = matrix[i-1, j-1]\n",
    "            else:\n",
    "                matrix[i, j] = 1 + min(matrix[i-1, j], matrix[i, j-1], matrix[i-1, j-1])\n",
    "    return matrix[i, j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "id": "3a733f05",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0. 1. 2. 3. 4. 5. 6.]\n",
      " [1. 0. 1. 2. 3. 4. 5.]\n",
      " [2. 1. 1. 2. 3. 4. 5.]\n",
      " [3. 2. 2. 1. 2. 3. 4.]\n",
      " [4. 3. 3. 2. 2. 2. 3.]\n",
      " [5. 4. 4. 3. 2. 3. 3.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "3.0"
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def lev_example(a, b):\n",
    "    len_a = len(a) + 1\n",
    "    len_b = len(b) + 1\n",
    "    matrix = np.zeros([len_a, len_b])\n",
    "    matrix[:, 0] = list(range(len_a))\n",
    "    matrix[0] = list(range(len_b))\n",
    "    for i in range(1, len_a):\n",
    "        for j in range(1, len_b):\n",
    "            if a[i-1] == b[j-1]:\n",
    "                matrix[i, j] = matrix[i-1, j-1]\n",
    "            else:\n",
    "                matrix[i, j] = 1 + min(matrix[i-1, j], matrix[i, j-1], matrix[i-1, j-1])\n",
    "    print(matrix)\n",
    "    return matrix[i, j]\n",
    "\n",
    "# An example of our algorithm with the same inputs as in the YouTube tutorial.\n",
    "# We have amended our function so it also prints the final matrix.\n",
    "lev_example(\"azced\", \"abcdef\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "id": "f3c0b7ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vectorize the lev function so that it may accept dataframes as input\n",
    "vec_lev = np.vectorize(lev)\n",
    "\n",
    "# Initialize two dataframes and extract the index so that we can compare our results\n",
    "orgs = df1.copy().reset_index()\n",
    "dups = df1.copy().reset_index()\n",
    "\n",
    "draw_from1 = df1.copy().reset_index()\n",
    "draw_from2 = df2.copy().reset_index()\n",
    "\n",
    "# Perform the vectorized lev function on five entries to confirm that we can successfully identify matching pairs\n",
    "for i in range(5):\n",
    "    # For each row, compute the sum of minimum edit distances\n",
    "    res = [np.nansum(row) for row in vec_lev(df1.iloc[i], df2)]\n",
    "    insert1 = draw_from1.iloc[i]\n",
    "    # Extract the row for which the summed minimum edit distance is minimized\n",
    "    insert2 = draw_from2.iloc[res.index(np.min(res))]\n",
    "    '''For illustrative purposes we will cheat a little and check whether a given entry is an orignal \n",
    "    or duplicate, so that we can clearly seperate them'''\n",
    "    if \"org\" in df1.iloc[i].name:\n",
    "        orgs.iloc[i] = insert1\n",
    "        dups.iloc[i] = insert2\n",
    "    else:\n",
    "        orgs.iloc[i] = insert2\n",
    "        dups.iloc[i] = insert1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "id": "e65faa20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rec_id</th>\n",
       "      <th>given_name</th>\n",
       "      <th>surname</th>\n",
       "      <th>street_number</th>\n",
       "      <th>address_1</th>\n",
       "      <th>address_2</th>\n",
       "      <th>suburb</th>\n",
       "      <th>postcode</th>\n",
       "      <th>state</th>\n",
       "      <th>date_of_birth</th>\n",
       "      <th>soc_sec_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rec-61-org</td>\n",
       "      <td>darcie</td>\n",
       "      <td>fleet</td>\n",
       "      <td>13</td>\n",
       "      <td>fellows street</td>\n",
       "      <td>braeburn</td>\n",
       "      <td>somerton park</td>\n",
       "      <td>2284</td>\n",
       "      <td>vic</td>\n",
       "      <td>19950307</td>\n",
       "      <td>1563705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rec-321-org</td>\n",
       "      <td>malakai</td>\n",
       "      <td>mcvey</td>\n",
       "      <td>109</td>\n",
       "      <td>budden crescent</td>\n",
       "      <td>billen cliffs caravn park</td>\n",
       "      <td>manly vale</td>\n",
       "      <td>2259</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19030707</td>\n",
       "      <td>7911018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rec-344-org</td>\n",
       "      <td>NaN</td>\n",
       "      <td>julius</td>\n",
       "      <td>52</td>\n",
       "      <td>florey drive</td>\n",
       "      <td>north stirling downs</td>\n",
       "      <td>coolaroo</td>\n",
       "      <td>2259</td>\n",
       "      <td>qld</td>\n",
       "      <td>19630521</td>\n",
       "      <td>1797144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rec-396-org</td>\n",
       "      <td>isabelle</td>\n",
       "      <td>witty</td>\n",
       "      <td>NaN</td>\n",
       "      <td>brereton street</td>\n",
       "      <td>glen mia</td>\n",
       "      <td>figtree</td>\n",
       "      <td>4555</td>\n",
       "      <td>wa</td>\n",
       "      <td>19980406</td>\n",
       "      <td>8008949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rec-358-org</td>\n",
       "      <td>caleb</td>\n",
       "      <td>ferris</td>\n",
       "      <td>41</td>\n",
       "      <td>grattan court</td>\n",
       "      <td>hardways</td>\n",
       "      <td>hoppers crossing</td>\n",
       "      <td>2060</td>\n",
       "      <td>wa</td>\n",
       "      <td>19960205</td>\n",
       "      <td>2947945</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        rec_id given_name surname street_number        address_1  \\\n",
       "0   rec-61-org     darcie   fleet            13   fellows street   \n",
       "1  rec-321-org    malakai   mcvey           109  budden crescent   \n",
       "2  rec-344-org        NaN  julius            52     florey drive   \n",
       "3  rec-396-org   isabelle   witty           NaN  brereton street   \n",
       "4  rec-358-org      caleb  ferris            41    grattan court   \n",
       "\n",
       "                   address_2            suburb postcode state date_of_birth  \\\n",
       "0                   braeburn     somerton park     2284   vic      19950307   \n",
       "1  billen cliffs caravn park        manly vale     2259   nsw      19030707   \n",
       "2       north stirling downs          coolaroo     2259   qld      19630521   \n",
       "3                   glen mia           figtree     4555    wa      19980406   \n",
       "4                   hardways  hoppers crossing     2060    wa      19960205   \n",
       "\n",
       "  soc_sec_id  \n",
       "0    1563705  \n",
       "1    7911018  \n",
       "2    1797144  \n",
       "3    8008949  \n",
       "4    2947945  "
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orgs.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "id": "dd01147d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rec_id</th>\n",
       "      <th>given_name</th>\n",
       "      <th>surname</th>\n",
       "      <th>street_number</th>\n",
       "      <th>address_1</th>\n",
       "      <th>address_2</th>\n",
       "      <th>suburb</th>\n",
       "      <th>postcode</th>\n",
       "      <th>state</th>\n",
       "      <th>date_of_birth</th>\n",
       "      <th>soc_sec_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>rec-61-dup-0</td>\n",
       "      <td>daarcie</td>\n",
       "      <td>fleet</td>\n",
       "      <td>13</td>\n",
       "      <td>fellows street</td>\n",
       "      <td>NaN</td>\n",
       "      <td>somertonp ark</td>\n",
       "      <td>2284</td>\n",
       "      <td>vic</td>\n",
       "      <td>19950307</td>\n",
       "      <td>1563705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rec-321-dup-0</td>\n",
       "      <td>malskai</td>\n",
       "      <td>mcvey</td>\n",
       "      <td>109</td>\n",
       "      <td>budden crescent</td>\n",
       "      <td>billen cliffsc aravn park</td>\n",
       "      <td>manly v ale</td>\n",
       "      <td>2295</td>\n",
       "      <td>nsw</td>\n",
       "      <td>19030707</td>\n",
       "      <td>7911018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>rec-344-dup-0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>stephenson</td>\n",
       "      <td>52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>north stirilng downs</td>\n",
       "      <td>coolaroo</td>\n",
       "      <td>2259</td>\n",
       "      <td>qld</td>\n",
       "      <td>19630521</td>\n",
       "      <td>1797144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rec-396-dup-0</td>\n",
       "      <td>isabelle</td>\n",
       "      <td>witty</td>\n",
       "      <td>NaN</td>\n",
       "      <td>brereton street</td>\n",
       "      <td>glen nia</td>\n",
       "      <td>figtrwee</td>\n",
       "      <td>4555</td>\n",
       "      <td>wa</td>\n",
       "      <td>19980406</td>\n",
       "      <td>8008949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rec-358-dup-0</td>\n",
       "      <td>caleb</td>\n",
       "      <td>ferrus</td>\n",
       "      <td>4</td>\n",
       "      <td>grattan court</td>\n",
       "      <td>hardways</td>\n",
       "      <td>hoppers crossing</td>\n",
       "      <td>2060</td>\n",
       "      <td>wa</td>\n",
       "      <td>19960205</td>\n",
       "      <td>2947945</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          rec_id given_name     surname street_number        address_1  \\\n",
       "0   rec-61-dup-0    daarcie       fleet            13   fellows street   \n",
       "1  rec-321-dup-0    malskai       mcvey           109  budden crescent   \n",
       "2  rec-344-dup-0        NaN  stephenson            52              NaN   \n",
       "3  rec-396-dup-0   isabelle       witty           NaN  brereton street   \n",
       "4  rec-358-dup-0      caleb      ferrus             4    grattan court   \n",
       "\n",
       "                   address_2            suburb postcode state date_of_birth  \\\n",
       "0                        NaN     somertonp ark     2284   vic      19950307   \n",
       "1  billen cliffsc aravn park       manly v ale     2295   nsw      19030707   \n",
       "2       north stirilng downs          coolaroo     2259   qld      19630521   \n",
       "3                   glen nia          figtrwee     4555    wa      19980406   \n",
       "4                   hardways  hoppers crossing     2060    wa      19960205   \n",
       "\n",
       "  soc_sec_id  \n",
       "0    1563705  \n",
       "1    7911018  \n",
       "2    1797144  \n",
       "3    8008949  \n",
       "4    2947945  "
      ]
     },
     "execution_count": 304,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dups.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42d92438",
   "metadata": {},
   "source": [
    "Success! As you can imagine, performing automated record linkage can save us a lot of time when combining datasets. In practice, there are many useful packages like `recordlinkage`, `nltk`, `fuzzywuzzy`, and `textdistance` that can do much of the heavy lifting for us."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65be2184",
   "metadata": {},
   "source": [
    "# Sorting Algorithms <a class=\"anchor\" id=\"paragraph6\"></a>\n",
    "\n",
    "One of the simplest ways of demonstrating the performance differences of different algorithmic implementations is to look at sorting. Our goal will be to sort a lengthy list as quickly as possible. Note that we could use Python's inbuilt `sort()` or `sorted()` function, but that would be no fun! Before programming a few different sorting algorithms, let's generate a test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "7f066c53",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "lb = 0                       # lower bound\n",
    "up = 10000                   # upper bound\n",
    "list_range = range(lb, up)\n",
    "\n",
    "# Create a random list containing all elements between lb and up\n",
    "tutorial_list = random.sample(list_range, len(list_range))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "727b14fe",
   "metadata": {},
   "source": [
    "### Bubble Sort <a class=\"anchor\" id=\"paragraph7\"></a>\n",
    "\n",
    "Bubble sort is simple to understand but time intensive to perform. Bubble sort repeatedly swaps adjacent elements until the entire list is sorted. At worst, if the list is inversely sorted, Bubble sort will perform $\\frac{n\\times(n-1)}{2}$ comparisons in total, where $n$ is the length of the array to be sorted. Watch a [Hungarian (\"Csángó\") folk dance](https://www.youtube.com/watch?v=lyZQPjUT5B4) rendition of the bubble sort algorithm.\n",
    "\n",
    "[0] [5, 3, 4, 2, 1]\n",
    "\n",
    "First we swap the 5 and the 3\n",
    "\n",
    "[1] [3, 5, 4, 2, 1]\n",
    "\n",
    "Next we swap the 5 and the 4\n",
    "\n",
    "[2] [3, 4, 5, 2, 1]\n",
    "\n",
    "Then the 5 and the 2\n",
    "\n",
    "[3] [3, 4, 2, 5, 1]\n",
    "\n",
    "And the 5 and the 1\n",
    "\n",
    "[4] [3, 4, 2, 1, 5]\n",
    "\n",
    "We've completed the first run through. We start at the beginning again. 3 is smaller than 4, so we so not swap the entries\n",
    "\n",
    "[5] [3, 4, 2, 1, 5]\n",
    "\n",
    "We swap the 4 and the 2. And so on . . .\n",
    "\n",
    "[6] [3, 2, 4, 1, 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "59341e67",
   "metadata": {},
   "outputs": [],
   "source": [
    "def bubble_sort(unsorted_list):\n",
    "    for i in range(len(unsorted_list)-1, 0, -1):\n",
    "        for j in range(i):\n",
    "            if unsorted_list[j] > unsorted_list[j+1]:\n",
    "                unsorted_list[j], unsorted_list[j+1] = unsorted_list[j+1], unsorted_list[j]\n",
    "    return unsorted_list\n",
    "\n",
    "# We can greatly optimize our bubble sort algorithm by realizing that if during any given run through\n",
    "# no swaps are required, the list is already sorted and we can exit the loop. no_swaps tracks whether\n",
    "# any swaps were performed during an entire cycle of the nested for loop\n",
    "def optimized_bubble_sort(unsorted_list):\n",
    "    for i in range(len(unsorted_list)-1, 0, -1):\n",
    "        no_swaps = True\n",
    "        for j in range(i):\n",
    "            if unsorted_list[j] > unsorted_list[j+1]:\n",
    "                unsorted_list[j], unsorted_list[j+1] = unsorted_list[j+1], unsorted_list[j]\n",
    "                no_swaps = False\n",
    "        if no_swaps:\n",
    "            return unsorted_list"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86e6f81a",
   "metadata": {},
   "source": [
    "### Insertion Sort <a class=\"anchor\" id=\"paragraph8\"></a>\n",
    "\n",
    "In [Insertion sort](https://www.youtube.com/watch?v=ROalU379l3U), one pass through is made and each element swaps with its left neighbor as long as its neighbor is larger.\n",
    "\n",
    "[0] [5, 3, 4, 2, 1]\n",
    "\n",
    "First we swap the 5 and the 3\n",
    "\n",
    "[1] [3, 5, 4, 2, 1]\n",
    "\n",
    "Next we swap the 5 and the 4. Since 3 is smaller than 4, we carry on\n",
    "\n",
    "[2] [3, 4, 5, 2, 1]\n",
    "\n",
    "We swap the 5 and the 2. So far no difference\n",
    "\n",
    "[3] [3, 4, 2, 5, 1]\n",
    "\n",
    "Now, since 4 is larger than 2, we swap them\n",
    "\n",
    "[4] [3, 2, 4, 5, 1]\n",
    "\n",
    "Again, 3 is larger than 2, so we swap them\n",
    "\n",
    "[4] [2, 3, 4, 5, 1]\n",
    "\n",
    "Lastly, we perform the same operation on the 1 until it has moved to the first position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "11874d7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def insertion_sort(unsorted_list):\n",
    "    for i in range(1, len(unsorted_list)):\n",
    "        while i > 0 and unsorted_list[i-1] > unsorted_list[i]:\n",
    "            unsorted_list[i-1], unsorted_list[i] = unsorted_list[i], unsorted_list[i-1]\n",
    "            i -= 1\n",
    "    return unsorted_list"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6749241c",
   "metadata": {},
   "source": [
    "### Shellsort <a class=\"anchor\" id=\"paragraph9\"></a>\n",
    "\n",
    "[Shellsort](https://www.youtube.com/watch?v=CmPA7zE8mx0) is similar to Insertion sort. However, with ech run through, elements are compared that are a certain distance apart from each other. This gap decreases with each run through until neighbors are compared. By then, we should have less or even no swaps that need to be performed. The rationale behind this approach is that we can more quickly move elements to their correct position. If, for example, the smallest element is the right most element in the unsorted list, we would have to swap it many times with each of its neighbors until it moves to the left most position. If we begin by comparing elements that are further apart, we can reduce the number of swaps we have to perform."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "f29057cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "def shell_sort(unsorted_list, gap_function = lambda n, i: (n // 2**i)):\n",
    "    '''Sort unsorted_list using Shellsort for any valid gap_function.\n",
    "    gap_function defines how gaps are computed as a function of unsorted_list length (n) and/or iteration (i).\n",
    "    By default, gap_function outputs n/2, n/4, ..., 1'''\n",
    "    n = len(unsorted_list)\n",
    "    i = 1\n",
    "    while True:\n",
    "        gap = gap_function(n, i)\n",
    "        for j in range(gap, n):\n",
    "            while j > 0 and unsorted_list[j-gap] > unsorted_list[j]:\n",
    "                unsorted_list[j-gap], unsorted_list[j] = unsorted_list[j], unsorted_list[j-gap]\n",
    "                j -= 1\n",
    "        i += 1\n",
    "        if gap == 1:\n",
    "            return unsorted_list"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a50a5306",
   "metadata": {},
   "source": [
    "Below you can see four examples of our shell sort algorithm. Each uses a different function to compute the gaps. The last example functions just like our insertion sorting algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "id": "82bec048",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16.9 ms ± 28.5 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "# Shell (1959): n/2, n/4, ..., 1\n",
    "%timeit shell_sort(tutorial_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "id": "6ca33c07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17.1 ms ± 97.2 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "# Frank & Lazarus (1960): 2*(n/4)+1, ..., 3, 1\n",
    "%timeit shell_sort(tutorial_list, lambda n, i: 2*(n // 2**(i+1))+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "id": "9032e7f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14.1 ms ± 6.39 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "# 10, 9, ..., 2, 1\n",
    "%timeit shell_sort(tutorial_list, lambda n, i: 11-i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "id": "724687fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.44 ms ± 53 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
     ]
    }
   ],
   "source": [
    "# Insertion sort\n",
    "%timeit shell_sort(tutorial_list, lambda n, i: 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6712587",
   "metadata": {
    "id": "VZO2V0_GGW64"
   },
   "source": [
    "\n",
    "# Performance measurement of sorting algorithms <a class=\"anchor\" id=\"paragraph10\"></a>\n",
    "\n",
    "Now that we have defined three alternative algorithms for our problem, it is time to consider the performance of our code. To measure performance we can use the so-called \"time\" package. We will measure how much time passes while executing the algorithm. To do so, there are two useful functions in the package: `time.time()` and `time.clock()`.\n",
    "\n",
    "What `time.time()` does is measure wallclock time between two points in the code, i.e. how many actual seconds pass from start to finish. This method however is not entirely optimal. The reason for this is that the computer might be working on other tasks during the same time one is trying to measure the performance of the code. This means that additional memory in the CPU might be occupied and therefore slowing down the process. To solve this problem one can use `time.clock()` instead.\n",
    "\n",
    "`time.clock()` has not been updated for a while though and is not the best way of determining dedicated CPU time. The new, updated versions of `time.clock() `are `time.perf_counter()` and `time.process_time()`.\n",
    "\n",
    "In our examples below, we will use the updated CPU timer with fractional seconds called `time.process_time()`.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f412d3a7",
   "metadata": {
    "id": "AXEXrHcGGrdS"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bubblesort sorted the tutorial list in 6.274165000000011 seconds\n",
      "Optimized Bubblesort sorted the tutorial list in 0.001314000000007809 seconds\n",
      "Insertion sort sorted the tutorial list in 0.001458000000013726 seconds\n",
      "Shellsort sorted the tutorial list in 0.017922999999996136 seconds\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "\n",
    "# measuring bubblesort performance\n",
    "start_bubblesort = time.process_time()\n",
    "bubble_sort(tutorial_list)\n",
    "end_bubblesort = time.process_time()\n",
    "\n",
    "# measuring optimized bubblesort performance\n",
    "start_optimized_bubblesort = time.process_time()\n",
    "optimized_bubble_sort(tutorial_list)\n",
    "end_optimized_bubblesort = time.process_time()\n",
    "\n",
    "# measuring isort performance\n",
    "start_insertionsort = time.process_time()\n",
    "insertion_sort(tutorial_list)\n",
    "end_insertionsort = time.process_time()\n",
    "\n",
    "# measuring shellsort performance\n",
    "start_shellsort = time.process_time()\n",
    "shell_sort(tutorial_list)\n",
    "end_shellsort = time.process_time()\n",
    "\n",
    "print('Bubblesort sorted the tutorial list in {} seconds'.format(end_bubblesort - start_bubblesort))\n",
    "print('Optimized Bubblesort sorted the tutorial list in {} seconds'.format(end_optimized_bubblesort - start_optimized_bubblesort))\n",
    "print('Insertion sort sorted the tutorial list in {} seconds'.format(end_insertionsort - start_insertionsort))\n",
    "print('Shellsort sorted the tutorial list in {} seconds'.format(end_shellsort - start_shellsort))"
   ]
  },
  {
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    "05_doubling-hypothesis.PNG": {
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"
    },
    "05_doubling-hypothesis2.PNG": {
     "image/png": 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"
    },
    "05_doubling-hypothesis3.PNG": {
     "image/png": 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"
    },
    "05_order-of-growth.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "c662eb42",
   "metadata": {
    "id": "jSzA4pkAHKxY"
   },
   "source": [
    "# Scientifically Testing Algorithm Performance <a class=\"anchor\" id=\"paragraph11\"></a>\n",
    "\n",
    "Usually, when testing the performance of an algorithm there is a scientific method that can be used. The method for testing the performance of different algorithms includes the following parts: \n",
    "\n",
    "1.   **Observe** some feature of the universe.\n",
    "2.   **Hypothesize** a model that is consistent with observation.\n",
    "3.   **Predict** events using the hypothesis.\n",
    "4.   **Verify** the predictions by making further observations.\n",
    "5. **Validate** by repeating until the hypothesis and observations agree.\n",
    "\n",
    "There are generally different factors that influence the performance of an algorithm. It can be your computer or especially the performance of your CPU, but also the algoritm itself, the compiler, the input data, caching, garbage collection or just-in-time compilation. There are multiple experiments possible to test the efficiency of an algorithm. But one of the most frequently used methods is the doubling hypothesis.\n",
    "\n",
    "# Doubling Hypothesis <a class=\"anchor\" id=\"paragraph12\"></a>\n",
    "\n",
    "One possibility to measure the performance of an algorithm is the doubling hypothesis. The doubling hypothesis takes different sizes of input into account and measures the performance in regards to rising input size. More clearly, it doubles the input and measures the effect on execution time.\n",
    "\n",
    "For example a `for loop` takes twice as long to iterate over a list of elements when the size of the list is doubled. Therefore, with a doubling of the relevant elements, the time for execution doubles as well. This means that the doubling factor is 2 as the execution time doubles when the amount of elements included in the list doubles.\n",
    "\n",
    "To experiment with the doubling hypothesis, you can set up an experiment in the following way:\n",
    "\n",
    "* Start with a moderate input size of N\n",
    "* Measure and save the execution time with `time.time()`\n",
    "* Double the input size N\n",
    "* Repeat\n",
    "* Enter the results in a table and plot them on a graph\n",
    "\n",
    "![05_doubling-hypothesis2.PNG](attachment:05_doubling-hypothesis2.PNG)\n",
    "\n",
    "The results can also be calculated mathematically. N is the input size, TN are the measurements that we have made for the algorithm and the log() values can be computed with the calculator.\n",
    "\n",
    "![05_doubling-hypothesis.PNG](attachment:05_doubling-hypothesis.PNG)\n",
    "\n",
    "With the measured results, you can compute the slope of the execution time and this will enable you to compute the time for any given input by replacing N with the new input.\n",
    "\n",
    "![05_doubling-hypothesis3.PNG](attachment:05_doubling-hypothesis3.PNG)\n",
    "\n",
    "# Order of Growth <a class=\"anchor\" id=\"paragraph13\"></a>\n",
    "\n",
    "As described above, the doubling factor of the `for loop` is 2. However, as shown in the graph below, different algorithms have different doubling factors. Best shown in the graph below.\n",
    "\n",
    "![05_order-of-growth.png](attachment:05_order-of-growth.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3fe38bf",
   "metadata": {
    "id": "M9gpCRdAGvns"
   },
   "source": [
    "# **Results**\n",
    "\n",
    "As we can see from the results above, the shell short is more efficent than the other two less complex sorting algorithms. The question is though, will the shell short algorithm always be the better choice when one needs to sort a list? Well that depends...\n",
    "\n",
    "When considering a programming solution for a problem one thing to keep in mind is the pay-off between the time invested in optimizing the code and the actual time saved when one is later using the code. For example, let us assume that we have the knowledge to write the simpler bubble-sort algorithm, but lack the knowledge to write something more efficient. If there is a problem that consists of a shorter list that only needs to be sorted once, it might be wiser to just use the simpler algorithm, even though it is less efficient. Because the payoff for investing time in optimizing the code and learning more efficient ways to do a sorting algorithm might be very low. On the other hand, if we are facing a more complex problem where our sorting algorithm will be run a considerable amount of times, it might be worth investing time in optimizing the code to save a lot of time later when the program is running.\n",
    "\n",
    "So, when deciding how to implement an algorithm solution to a problem one should always keep in mind the purpose of the implementation and then make a decision about the complexity of the code."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e093381",
   "metadata": {},
   "source": [
    "# Optimizing algorithm implementation performance <a class=\"anchor\" id=\"paragraph14\"></a>\n",
    "\n",
    "When implementing code, performance efficiency is crucial. Therefore, we will examine some tips to optimize code. It will mostly be based on practical examples. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0e8d0ac",
   "metadata": {},
   "source": [
    "## Optimizing with @jit <a class=\"anchor\" id=\"paragraph15\"></a>\n",
    "\n",
    "We showed different ways to implement an algorithm. Now, we want to know whether it is possible to speed up the algorithm we implemented? There exist a few tools to do just that. One of them is the Python module `Numba`, a Just-In-Time compiler. One useful property of this library, is `@jit`, a decorator that can be placed before a function. There is no need to modify your code: just add `@jit` and it will (in most cases) speed up the implementation. Python is not the most efficient language to compute loops and inner loops. C would be much faster for example. This is why Cython was invented. It injects C into python code to make the implementation faster. `@jit` transforms your code into more efficient code. How does it work? It uses the Low Level Virtual Machine(LLVM), a compiler infrastructure to make code more efficient. There also exists alternatives,such as PyPy which uses JIT (Just-In-Time compiler) technology as well. However, we will only include an example with `Numba`.\n",
    "\n",
    "Here is a simple example showing the usefulness of `@jit` with matrix multiplication."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dea3b974",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The function matMult took 1.1507639999999997 seconds to execute\n",
      "The function matMultjit took 0.4103220000000003 seconds to execute\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "import numpy as np\n",
    "import time\n",
    "from numba import jit\n",
    "\n",
    "random.seed(10)\n",
    "\n",
    "# Create two random matrices\n",
    "A = np.random.randint(100, size=(100,100))\n",
    "B = np.random.randint(100, size=(100,100))\n",
    "\n",
    "# Multiply the two matrices with loops\n",
    "def matMult(A,B):\n",
    "    #Create an empty matrix \n",
    "    C = np.zeros((100,100))\n",
    "    for i in range(A.shape[0]):\n",
    "        for j in range(B.shape[1]):\n",
    "            for k in range(B.shape[0]):\n",
    "                C[i][j] += A[i][k] * B[k][j]\n",
    "    return C\n",
    "        \n",
    "\n",
    "# Implementation with @jit\n",
    "\n",
    "# Just add the decorator\n",
    "@jit\n",
    "def matMultjit(A,B):\n",
    "    C = np.zeros((100,100))\n",
    "    for i in range(A.shape[0]):\n",
    "        for j in range(B.shape[1]):\n",
    "            for k in range(B.shape[0]):\n",
    "                C[i][j] += A[i][k] * B[k][j]\n",
    "    return C\n",
    "\n",
    "\n",
    "# Create a function to measure time  \n",
    "def time_processing(result, a, b):\n",
    "    start_function = time.process_time()\n",
    "    result(a,b)\n",
    "    end_function = time.process_time()\n",
    "    print('The function {} took {} seconds to execute'.format(result.__name__,end_function-start_function))                \n",
    "\n",
    "    \n",
    "# Measure the time difference between the two implementations\n",
    "time_processing(matMult,A,B)\n",
    "time_processing(matMultjit,A,B)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "affbdd12",
   "metadata": {},
   "source": [
    "We can observe a clear difference between the original implementation and the boosted implementation with `@jit`, with around one second of difference. Of course, multiplying a matrix in python using loops is not optimal but the example was made to illustrate the properties of `@jit`. Sometimes loops are unavoidable in implementation and there are many situations where the `@jit` function can show its talent. However, `Numba` is not a magic one-size-fits-all solution. Indeed, the original code must be compatible with it. For example, `Numba` does not appreciate mixing types. If you deal with both integers and strings in the same list, it is most likely that `@jit` will not work. To prevent this, using `(nopython = TRUE)` will make sure that you get an error if this issue occurs, so that is possible to adjust the original code. `@njit` instead of `@jit` does exactly the same. Furthermore, `Numba` does not like python lists. That's why is it better to use `Numpy` arrays instead."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2e81352",
   "metadata": {},
   "source": [
    "## Vectorization <a class=\"anchor\" id=\"paragraph16\"></a>\n",
    "\n",
    "We know that loops are not particularly efficient to do long array computations in python. A better alternative is vectorization, which means using Numpy's linear algebra functions instead of loops. It helps to minimize the running time. A simple example to illustrate this is the dot produt of two vectors:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2cd2551a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The function dot_prod_loop took 0.04595500000000019 seconds to execute\n",
      "The function dot_prod_vect took 0.0005069999999998132 seconds to execute\n"
     ]
    }
   ],
   "source": [
    "# Create two vectors\n",
    "import numpy as np\n",
    "\n",
    "random.seed(10)\n",
    "\n",
    "v1 = np.random.randint(100000, size=(100000))\n",
    "v2 = np.random.randint(100000, size=(100000))\n",
    "\n",
    "\n",
    "# Compute the dot product using loops\n",
    "def dot_prod_loop(v1,v2):\n",
    "    v3 = 0\n",
    "    for i in range(v1.shape[0]):\n",
    "        v3 += v1[i]*v2[i]\n",
    "    return v3\n",
    "\n",
    "\n",
    "# Compute the dot product using vectorization\n",
    "def dot_prod_vect(v1,v2):\n",
    "    return np.dot(v1,v2)\n",
    "\n",
    "# Make sure that the two function lead to the same output\n",
    "assert(dot_prod_loop(v1,v2) == dot_prod_vect(v1,v2))\n",
    "\n",
    "    \n",
    "# Compare the two functions\n",
    "time_processing(dot_prod_loop,v1,v2)\n",
    "time_processing(dot_prod_vect,v1,v2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55a831e1",
   "metadata": {},
   "source": [
    "As expected, the time taken by the loop function is considerably higher than the numpy np.dot function. Numpy has many useful functions to avoid loops and make your code more performant."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7869293f",
   "metadata": {},
   "source": [
    "## Pre-allocation <a class=\"anchor\" id=\"paragraph17\"></a>\n",
    "\n",
    "Pre-allocation is another trick to make your code both more efficient and readable. You can pre-allocate the sizes of matrices, arrays and lists. It will prevent that the collections will grow dynamically during the process. Indeed, a matrix that grows at each step of a for loop will affect negatively time performance and memory use. Pre-allocation, on the contrary, will ensure that it has the memory space it requires from the beginning, thus improving efficiency. Let's look at another example to compare performance with and without pre-allocation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "15a5b0b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The function no_preallocation took 0.01812300000000011 seconds to execute\n",
      "The function preallocation took 0.011106999999999978 seconds to execute\n"
     ]
    }
   ],
   "source": [
    "\n",
    "n = 100000\n",
    "\n",
    "# Without pre-allocation\n",
    "\n",
    "# We just create an empty list, without defining its size\n",
    "def no_preallocation(n):\n",
    "    l = []\n",
    "    for i in range(n):\n",
    "        result = n*i\n",
    "        l.append(result)\n",
    "    \n",
    "    \n",
    "# With pre-allocation\n",
    "\n",
    "# We fill a created list with n elements\n",
    "def preallocation(n):\n",
    "    l = [None] * n\n",
    "    for i in range(n):\n",
    "        l[i] = n*i\n",
    "        \n",
    "# Create a function to mesure time  \n",
    "def time_processing2(result,n):\n",
    "    start_function = time.process_time()\n",
    "    result(n)\n",
    "    end_function = time.process_time()\n",
    "    print('The function {} took {} seconds to execute'.format(result.__name__,end_function-start_function))\n",
    "    \n",
    "#compare the two functions\n",
    "time_processing2(no_preallocation,n)\n",
    "time_processing2(preallocation,n)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4501bdb6",
   "metadata": {},
   "source": [
    "As expected, the performance of the function with a pre-allocation is better."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b1f7833",
   "metadata": {},
   "source": [
    "## Generators <a class=\"anchor\" id=\"paragraph18\"></a>\n",
    "\n",
    "Generators consists of so-called genetor functions that return generator objects. A generator function acts as a normal function, but instead of a `return` statement, it ends with a `yield` statement. The function only outputs one element at a time, while a standard function will return everything at the same time. The generator returns an object that is called a 'lazy operator', which means that we can iterate over it like a list. The difference between a lazy operator and a list is that the lazy operator does not store the values. The big advantage of generators is that they minimize the amount of memory they occupy. It can also improve computing time since it only prints what you need. To show this, let's see a practical example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "838890a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The function compute_normal took 13.649114999999998 seconds and 8.13671875 MB to execute\n",
      "The function compute_gen took 0.0011379999999974189 seconds and 0.0 MB to execute\n"
     ]
    }
   ],
   "source": [
    "# Define a standard function\n",
    "def compute_normal(n):\n",
    "    number = 0\n",
    "    numList = []\n",
    "    while number < n:\n",
    "        t = number**n\n",
    "        numList.append(t)\n",
    "        number +=1\n",
    "        \n",
    "    \n",
    "    \n",
    "# Define the generator\n",
    "def compute_gen(n):\n",
    "    number = 0\n",
    "    while number < n:\n",
    "        yield (number**n)\n",
    "        number +=1\n",
    "\n",
    "# Compare the running time and the memory usage\n",
    "\n",
    "import memory_profiler\n",
    "import time\n",
    "\n",
    "def time_memory(result,n):\n",
    "    start = time.process_time()\n",
    "    memory1 = memory_profiler.memory_usage()\n",
    "    output = result(n)\n",
    "    end = time.process_time()\n",
    "    memory2 = memory_profiler.memory_usage()\n",
    "    print('The function {} took {} seconds and {} MB to execute'.format(result.__name__,end-start,memory2[0]-memory1[0]))\n",
    "\n",
    "n = 10000 \n",
    "compute_normal(n)\n",
    "time_memory(compute_normal,n)\n",
    "time_memory(compute_gen,n)        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa81c16d",
   "metadata": {},
   "source": [
    "The time and the memory needed for the generator are significantly lower than for the normal function. That is because we only call one element at a time. It is thus very useful if this is what we need. However, if we want to obtain the entire list of elements, it will likely take slightly longer than the normal function in terms of computing time, but the memory usage is much improved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6f5e0066",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The function printing took 13.503031 seconds and 0.0 MB to execute\n"
     ]
    }
   ],
   "source": [
    "# Take the generator object\n",
    "t = compute_gen(n)\n",
    "\n",
    "# Define a function to iterate over the generator object\n",
    "def printing(t):\n",
    "    for i in range(10000):\n",
    "        next(t)\n",
    "        \n",
    "# Measure performance\n",
    "time_memory(printing,t)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a03a3437",
   "metadata": {},
   "source": [
    "# Further ideas for optimization <a class=\"anchor\" id=\"paragraph19\"></a>\n",
    "\n",
    "## Profiling <a class=\"anchor\" id=\"paragraph20\"></a>\n",
    "\n",
    "The idea of profiling is to find where the program is most time-consuming. The goal is to determine the time taken by each function. It is useful to find where the programm needs to be optimized. Indeed, it would be laborious to improve the code without knowing where the inefficiencies are. To do so, python offers several possibilities. A simple way is to use the module `timeit`, which measure the time taken by a certain chunk of code. Another option is to use `cProfile`, a C module, which will show the number of calls, the time taken by a function and several other useful metrics."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdda9c29",
   "metadata": {},
   "source": [
    "## Parallelization <a class=\"anchor\" id=\"paragraph21\"></a>\n",
    "\n",
    "Parallization is used to execute mutiple parts of a program simultaneously. It can save substiantial processing time and thus improve code efficiency. In addition, it is particularly useful if your program consumes heavy CPU (central prcessing unit) computation power. Modern computers have multiple CPU cores which can execute instructions at the same time. Parallelization uses this facutly to run different processes or threads on several cores simultaneously. Processes represent computing tasks. Some part of the machine's memory space is specifically allocated to each of them so that the processes are independent from each other. Furthermore, every process consists of one or more threads (or subprocesses), which share access to data structure and memory with the parent process. In Python, you can either use the module `multiprocessing` or `threading` to run parallel tasks. It is also possible to use parallelization with `Numba`. Just add `(parallel = TRUE)` next to `@jit` or `@njit` and import `prange`. The efficiency of this method in `Numba` will depend on the specific problem you are dealing with."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6844c60d",
   "metadata": {},
   "source": [
    "# Implementation issues <a class=\"anchor\" id=\"paragraph22\"></a>\n",
    "\n",
    "## Stack Overflow and Recursion limit errors <a class=\"anchor\" id=\"paragraph23\"></a>\n",
    "\n",
    "Stack Overflow is an implementation issue where the program tries to use more memory than the call stack has available. The call stack is the data structure which allows the program to store informations about the different routines (or functions) that are called. A stack overflow issue can happen on functions that are recursive, which means that the function calls itself. It can also happen when you have a function A that call a function B that iteself call a function C that calls function A. Luckily, it is difficult to provoke a stack overflow in Python, unlike in C or java for example, since it has mechanisms to prevent it. It will instead return an error stating that the maximum recursion depth has been exceeded. This can happen in the case where a function calls itself infinitely.\n",
    "\n",
    "Here is an example of an infinite recursion:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3ee1d816",
   "metadata": {},
   "outputs": [
    {
     "ename": "RecursionError",
     "evalue": "maximum recursion depth exceeded",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRecursionError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-23d000980372>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-6-23d000980372>\u001b[0m in \u001b[0;36mhi\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "... last 1 frames repeated, from the frame below ...\n",
      "\u001b[0;32m<ipython-input-6-23d000980372>\u001b[0m in \u001b[0;36mhi\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhi\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRecursionError\u001b[0m: maximum recursion depth exceeded"
     ]
    }
   ],
   "source": [
    "def hi():\n",
    "    return hi()\n",
    "print(hi())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bfbf861",
   "metadata": {},
   "source": [
    "This returns \"maximum recursion depth exceeeded\", which is a guard against stack overflow. To avoid infinite recursion, it is important to check whether the recursion has an end."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "263cfe1c",
   "metadata": {},
   "source": [
    "### Recursion Limits <a class=\"anchor\" id=\"paragraph24\"></a>\n",
    "\n",
    "Very long recursions can also cause errors. Let's take a function that computes the factorial of a given number. The factorial is defined as $n!=n*(n-1)*(n-2)...*1$. At each step the function calls itself. When computing the factorial of a sufficiently large number, it will exceed the maximum number of recursions that Python is capable of."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "162c5130",
   "metadata": {},
   "outputs": [
    {
     "ename": "RecursionError",
     "evalue": "maximum recursion depth exceeded in comparison",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRecursionError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-9d493fa147a9>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m*\u001b[0m \u001b[0mfact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-7-9d493fa147a9>\u001b[0m in \u001b[0;36mfact\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mn\u001b[0m \u001b[0;34m<=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m*\u001b[0m \u001b[0mfact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "... last 1 frames repeated, from the frame below ...\n",
      "\u001b[0;32m<ipython-input-7-9d493fa147a9>\u001b[0m in \u001b[0;36mfact\u001b[0;34m(n)\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mn\u001b[0m \u001b[0;34m<=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m*\u001b[0m \u001b[0mfact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfact\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5000\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRecursionError\u001b[0m: maximum recursion depth exceeded in comparison"
     ]
    }
   ],
   "source": [
    "def fact(n):\n",
    "    if n <=1:\n",
    "        return 1\n",
    "    return n* fact(n-1)\n",
    "print(fact(5000))        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b5bd7ef",
   "metadata": {},
   "source": [
    "The program returns the error \"maximum recursion depth exceeded in comparison\". To solve this issue, we can either write the algorithm in an iterative way or increase the recursion limit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2dfbaa69",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      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     ]
    }
   ],
   "source": [
    "# Iterative version the factorial algorithm\n",
    "\n",
    "def fact_it(n):\n",
    "    if n <= 1:\n",
    "        return 1\n",
    "    else:\n",
    "        fact = 1\n",
    "        while(n > 1):\n",
    "            fact *= n\n",
    "            n -= 1\n",
    "        return fact\n",
    "    \n",
    "# Print the output\n",
    "print(fact_it(5000))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9d4e72c",
   "metadata": {},
   "source": [
    "Another way to solve this issue is to increase the recursion limit of your algorithm. But be careful with this solution, because the limit cannot be increased infinity and may result in a stack overflow. This is why rewriting the algorithm in an iterative way is often better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d6d954b4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      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     ]
    }
   ],
   "source": [
    "import sys\n",
    "\n",
    "# Increase the recursive limit\n",
    "sys.setrecursionlimit(100000)\n",
    "\n",
    "# Print the output\n",
    "print(fact(5000))"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "Performance measurement of sorting algorithms.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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}