diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb
index c574eba..1086b00 100644
--- a/your-code/challenge-1.ipynb
+++ b/your-code/challenge-1.ipynb
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -33,12 +33,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Durante un tiempo no estuvo segura de si su marido era su marido.\n"
+     ]
+    }
+   ],
    "source": [
     "str_list = ['Durante', 'un', 'tiempo', 'no', 'estuvo', 'segura', 'de', 'si', 'su', 'marido', 'era', 'su', 'marido']\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "string = \" \".join(str_list) + \".\"\n",
+    "print(string)\n",
+    "    "
    ]
   },
   {
@@ -50,12 +61,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'Grocery list: bananas, bread, brownie mix, broccoli.'"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "food_list = ['Bananas', 'Chocolate', 'bread', 'diapers', 'Ice Cream', 'Brownie Mix', 'broccoli']\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "grocery_list = \"Grocery list: \"\n",
+    "grocery_list += \", \".join([food.lower() for food in food_list if food.lower().startswith(\"b\")]) + \".\"\n",
+    "grocery_list\n",
+    "    "
    ]
   },
   {
@@ -69,9 +95,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'The area of the circle with radius: 4.5 is: 63.61725123519331.'"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import math\n",
     "\n",
@@ -90,7 +127,8 @@
     "    # Your code here:\n",
     "    return pi * (x**2)\n",
     "    \n",
-    "# Your output string here:\n"
+    "# Your output string here:\n",
+    "f\"{string1 } {radius } {string2 } {area(radius)}.\"\n"
    ]
   },
   {
@@ -106,9 +144,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'s': 13, 'o': 18, 'm': 3, 'e': 20, 'a': 12, 'y': 3, 't': 18, 'h': 12, 'w': 8, 'r': 10, 'l': 6, 'd': 9, 'i': 21, 'n': 8, 'f': 10, 'c': 5, '’': 1, 'v': 2, 'b': 1, 'u': 5, 'p': 1, 'k': 2, 'g': 2}\n"
+     ]
+    }
+   ],
    "source": [
     "poem = \"\"\"Some say the world will end in fire,\n",
     "Some say in ice.\n",
@@ -120,7 +166,11 @@
     "Is also great\n",
     "And would suffice.\"\"\"\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "poem = poem.lower().replace(\",\", \"\").replace(\"\\n\", \" \").replace(\".\", \"\")\n",
+    "word_dict = {letter: poem.count(letter) for letter in poem if letter != \" \"}\n",
+    "\"\"\"word_dict.pop(\" \")\"\"\"\n",
+    "print(word_dict)\n"
    ]
   },
   {
@@ -132,9 +182,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 94,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'&',\n",
+       " 'angry',\n",
+       " 'apple',\n",
+       " 'beheld',\n",
+       " 'beneath',\n",
+       " 'bore',\n",
+       " 'both',\n",
+       " 'bright',\n",
+       " 'day',\n",
+       " 'deceitful',\n",
+       " 'did',\n",
+       " 'end',\n",
+       " 'fears',\n",
+       " 'foe',\n",
+       " 'friend',\n",
+       " 'garden',\n",
+       " 'glad',\n",
+       " 'grew',\n",
+       " 'grow',\n",
+       " 'had',\n",
+       " 'he',\n",
+       " 'i',\n",
+       " 'into',\n",
+       " 'knew',\n",
+       " 'mine',\n",
+       " 'morning',\n",
+       " 'my',\n",
+       " 'night',\n",
+       " 'not',\n",
+       " 'outstretched',\n",
+       " 'pole',\n",
+       " 'see',\n",
+       " 'shine',\n",
+       " 'smiles',\n",
+       " 'soft',\n",
+       " 'stole',\n",
+       " 'sunned',\n",
+       " 'tears',\n",
+       " 'that',\n",
+       " 'till',\n",
+       " 'told',\n",
+       " 'tree',\n",
+       " 'veild',\n",
+       " 'was',\n",
+       " 'waterd',\n",
+       " 'when',\n",
+       " 'wiles',\n",
+       " 'with',\n",
+       " 'wrath'}"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "blacklist = ['and', 'as', 'an', 'a', 'the', 'in', 'it']\n",
     "\n",
@@ -158,7 +267,15 @@
     "In the morning glad I see; \n",
     "My foe outstretched beneath the tree.\"\"\"\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "#rule = blacklist\n",
+    "poem = \" \".join(poem.split()).lower().replace(\",\", \" \").replace(\";\", \"\").replace(\".\", \" \").replace(\"\\n\", \"\").replace(\":\", \"\")   # removing non character, extra space  and lower case all word\n",
+    "   \n",
+    "poem_word_set = set(poem.split())  # creating set of word in poem\n",
+    "blacklist_set = set(blacklist)   # converting blacklist in to set\n",
+    "\n",
+    "unique_word_poem = poem_word_set.difference(blacklist_set)   # usnig set.difference to find word in poem but not in blacklist\n",
+    "unique_word_poem"
    ]
   },
   {
@@ -172,16 +289,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 105,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['T', 'P']"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import re\n",
     "\n",
     "poem = \"\"\"The apparition of these faces in the crowd;\n",
     "Petals on a wet, black bough.\"\"\"\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "rule = \"[A-Z]\"\n",
+    "re.findall(rule, poem)    "
    ]
   },
   {
@@ -193,13 +323,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 125,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['123abc', 'abc123', 'JohnSmith1', 'ABBY4']"
+      ]
+     },
+     "execution_count": 125,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "data = ['123abc', 'abc123', 'JohnSmith1', 'ABBY4', 'JANE']\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "new_list = [item for item in data if re.findall(\"\\d\", item)]\n",
+    "\n",
+    "\"\"\"for item in data:\n",
+    "    if re.findall(\"\\d\", item):\n",
+    "        new_list.append(item)\"\"\"\n",
+    "new_list"
    ]
   },
   {
@@ -215,18 +362,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 131,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['123abc', 'abc123', 'JohnSmith1']"
+      ]
+     },
+     "execution_count": 131,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "data = ['123abc', 'abc123', 'JohnSmith1', 'ABBY4', 'JANE']\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "bonus_list = [item for item in data if re.findall(\"\\d\", item) if re.findall(\"[a-z]\", item)]\n",
+    "bonus_list"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -240,7 +400,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,
diff --git a/your-code/challenge-2.ipynb b/your-code/challenge-2.ipynb
index 6873bd2..8a35984 100644
--- a/your-code/challenge-2.ipynb
+++ b/your-code/challenge-2.ipynb
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -88,11 +88,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Write your code here\n"
+    "# Write your code here\n",
+    "corpus = []\n",
+    "for doc in docs:\n",
+    "    with open(doc) as document:\n",
+    "        sentence  = document.read()\n",
+    "        corpus.append(sentence)\n"
    ]
   },
   {
@@ -104,10 +109,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Ironhack is cool.', 'I love Ironhack.', 'I am a student at Ironhack.']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(corpus)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -132,11 +147,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['ironhack is cool', 'i love ironhack', 'i am a student at ironhack']\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "\"import re\\nlower_corpus = []\\nfor sentence in corpus:\\n    sentence = sentence.lower()\\n    sentence = re.sub('[^A-Za-z0-9 ]+', '', string)\\n    lower_corpus.append(string)\\n\\nprint(lower_corpus)\\n\""
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Write your code here"
+    "# Write your code here\n",
+    "corpus = []\n",
+    "for doc in docs:\n",
+    "    with open(doc) as document:\n",
+    "        sentence  = document.read().lower().replace(\".\", \"\")\n",
+    "        corpus.append(sentence)\n",
+    "print(corpus)\n",
+    "\n",
+    "# Alternatively\n",
+    "\"\"\"import re\n",
+    "lower_corpus = []\n",
+    "for sentence in corpus:\n",
+    "    sentence = sentence.lower()\n",
+    "    sentence = re.sub('[^A-Za-z0-9 ]+', '', string)\n",
+    "    lower_corpus.append(string)\n",
+    "\n",
+    "print(lower_corpus)\n",
+    "\"\"\"\n"
    ]
   },
   {
@@ -148,10 +198,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "bag_of_words = []"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -166,11 +218,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['ironhack', 'is', 'cool', 'i', 'love', 'am', 'a', 'student', 'at']"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Write your code here\n"
+    "# Write your code here\n",
+    "for sentence in corpus:    # first iteration in list corpus\n",
+    "    for word in sentence.split():   # second iteration in list element ->> sentence\n",
+    "        if word not in bag_of_words:   # check if word already in bags_of_word\n",
+    "            bag_of_words.append(word)  # append word\n",
+    "\n",
+    "bag_of_words"
    ]
   },
   {
@@ -200,11 +269,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[1, 1, 1, 0, 0, 0, 0, 0, 0], [1, 0, 0, 1, 1, 0, 0, 0, 0], [1, 0, 0, 1, 0, 1, 1, 1, 1]]\n"
+     ]
+    }
+   ],
    "source": [
-    "# Write your code here\n"
+    "# Write your code here\n",
+    "term_frequency = corpus\n",
+    "# Create empty term-freq  matrix of list\n",
+    "term_freq = [[0 for j in range(len(bag_of_words))] for i in range(len(term_frequency))]\n",
+    "\n",
+    "# Populate term-freq matrix\n",
+    "for i, sentence in enumerate(term_frequency):\n",
+    "    for j, word in enumerate(bag_of_words):\n",
+    "        term_freq[i][j] = sentence.split().count(word)\n",
+    "\n",
+    "print(term_freq)"
    ]
   },
   {
@@ -256,13 +343,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[1, 1, 0, 0], [1, 0, 1, 0], [1, 0, 0, 1]]\n"
+     ]
+    }
+   ],
    "source": [
     "stop_words = ['all', 'six', 'less', 'being', 'indeed', 'over', 'move', 'anyway', 'fifty', 'four', 'not', 'own', 'through', 'yourselves', 'go', 'where', 'mill', 'only', 'find', 'before', 'one', 'whose', 'system', 'how', 'somewhere', 'with', 'thick', 'show', 'had', 'enough', 'should', 'to', 'must', 'whom', 'seeming', 'under', 'ours', 'has', 'might', 'thereafter', 'latterly', 'do', 'them', 'his', 'around', 'than', 'get', 'very', 'de', 'none', 'cannot', 'every', 'whether', 'they', 'front', 'during', 'thus', 'now', 'him', 'nor', 'name', 'several', 'hereafter', 'always', 'who', 'cry', 'whither', 'this', 'someone', 'either', 'each', 'become', 'thereupon', 'sometime', 'side', 'two', 'therein', 'twelve', 'because', 'often', 'ten', 'our', 'eg', 'some', 'back', 'up', 'namely', 'towards', 'are', 'further', 'beyond', 'ourselves', 'yet', 'out', 'even', 'will', 'what', 'still', 'for', 'bottom', 'mine', 'since', 'please', 'forty', 'per', 'its', 'everything', 'behind', 'un', 'above', 'between', 'it', 'neither', 'seemed', 'ever', 'across', 'she', 'somehow', 'be', 'we', 'full', 'never', 'sixty', 'however', 'here', 'otherwise', 'were', 'whereupon', 'nowhere', 'although', 'found', 'alone', 're', 'along', 'fifteen', 'by', 'both', 'about', 'last', 'would', 'anything', 'via', 'many', 'could', 'thence', 'put', 'against', 'keep', 'etc', 'amount', 'became', 'ltd', 'hence', 'onto', 'or', 'con', 'among', 'already', 'co', 'afterwards', 'formerly', 'within', 'seems', 'into', 'others', 'while', 'whatever', 'except', 'down', 'hers', 'everyone', 'done', 'least', 'another', 'whoever', 'moreover', 'couldnt', 'throughout', 'anyhow', 'yourself', 'three', 'from', 'her', 'few', 'together', 'top', 'there', 'due', 'been', 'next', 'anyone', 'eleven', 'much', 'call', 'therefore', 'interest', 'then', 'thru', 'themselves', 'hundred', 'was', 'sincere', 'empty', 'more', 'himself', 'elsewhere', 'mostly', 'on', 'fire', 'am', 'becoming', 'hereby', 'amongst', 'else', 'part', 'everywhere', 'too', 'herself', 'former', 'those', 'he', 'me', 'myself', 'made', 'twenty', 'these', 'bill', 'cant', 'us', 'until', 'besides', 'nevertheless', 'below', 'anywhere', 'nine', 'can', 'of', 'your', 'toward', 'my', 'something', 'and', 'whereafter', 'whenever', 'give', 'almost', 'wherever', 'is', 'describe', 'beforehand', 'herein', 'an', 'as', 'itself', 'at', 'have', 'in', 'seem', 'whence', 'ie', 'any', 'fill', 'again', 'hasnt', 'inc', 'thereby', 'thin', 'no', 'perhaps', 'latter', 'meanwhile', 'when', 'detail', 'same', 'wherein', 'beside', 'also', 'that', 'other', 'take', 'which', 'becomes', 'you', 'if', 'nobody', 'see', 'though', 'may', 'after', 'upon', 'most', 'hereupon', 'eight', 'but', 'serious', 'nothing', 'such', 'why', 'a', 'off', 'whereby', 'third', 'i', 'whole', 'noone', 'sometimes', 'well', 'amoungst', 'yours', 'their', 'rather', 'without', 'so', 'five', 'the', 'first', 'whereas', 'once']\n",
     "\n",
-    "# Write your code below\n"
+    "# Write your code below\n",
+    "\n",
+    "bag_of_words = []\n",
+    "# iterating corpus and populating bag_of_words\n",
+    "for sentence in corpus:   \n",
+    "    for word in sentence.split():   \n",
+    "        if word not in bag_of_words and  word not in stop_words:   \n",
+    "            bag_of_words.append(word) \n",
+    "bag_of_words\n",
+    "\n",
+    "term_freq = [[0 for j in range(len(bag_of_words))] for i in range(len(term_frequency))]\n",
+    "\n",
+    "# Populate term-freq matrix\n",
+    "for i, sentence in enumerate(term_frequency):\n",
+    "    for j, word in enumerate(bag_of_words):\n",
+    "        term_freq[i][j] = sentence.split().count(word)\n",
+    "\n",
+    "print(term_freq)\n",
+    "\n"
    ]
   },
   {
@@ -296,15 +409,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'ironhack': 3, 'is': 4, 'cool': 2, 'love': 5, 'am': 0, 'student': 6, 'at': 1}\n",
+      "[[0 0 1 1 1 0 0]\n",
+      " [0 0 0 1 0 1 0]\n",
+      " [1 1 0 1 0 0 1]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "from sklearn.feature_extraction.text import CountVectorizer\n",
+    " \n",
+    "vectorizer = CountVectorizer()\n",
+    "corpus = np.array((corpus))\n",
+    "bag_of_words = vectorizer.fit_transform(corpus)\n",
+    "print(vectorizer.vocabulary_)\n",
+    "print(bag_of_words.toarray())"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -318,7 +451,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,