diff --git a/.ipynb_checkpoints/m1-01-ipython-python-basics-lab-checkpoint.ipynb b/.ipynb_checkpoints/m1-01-ipython-python-basics-lab-checkpoint.ipynb
new file mode 100644
index 0000000..9844494
--- /dev/null
+++ b/.ipynb_checkpoints/m1-01-ipython-python-basics-lab-checkpoint.ipynb
@@ -0,0 +1,552 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "813714e6-069f-4a18-8345-fc250517c51e",
+   "metadata": {},
+   "source": [
+    "task 1, first,we create values and assign them variable "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "aed222f3-b0ed-4157-b709-b2773b646010",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "my_int=19\n",
+    "my_float=22.5\n",
+    "my_str=\"ironhack\"\n",
+    "my_list=[2,4,6,8,10]\n",
+    "my_dict={\"apple\":\"green\",\"banana\":\"yellow\"}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7541b79c-4a57-420f-a814-7c7503e4dd3e",
+   "metadata": {},
+   "source": [
+    "we check the type of each variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ad3bcd65-2d54-458b-b283-489793fa77f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'int'>\n",
+      "<class 'float'>\n",
+      "<class 'str'>\n",
+      "<class 'list'>\n",
+      "<class 'dict'>\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(type(my_int))\n",
+    "print(type(my_float))\n",
+    "print(type(my_str))\n",
+    "print(type(my_list))\n",
+    "print(type(my_dict))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f9e53042-ddd9-4663-8936-8701e591ef71",
+   "metadata": {},
+   "source": [
+    "type of my_int: integer, type of my_float: float, type of my_str: string, type of my_list: list, type of my_dict: dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "31f74414-83ba-428e-9176-6d119f37b35f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2, 4, 6, 8, 10, 12]\n",
+      "dict_keys(['apple', 'banana'])\n",
+      "IRONHACK\n"
+     ]
+    }
+   ],
+   "source": [
+    "my_list.append(12)\n",
+    "print(my_list)\n",
+    "print(my_dict.keys())\n",
+    "print(my_str.upper())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4b376c3f-61c3-4f7f-a9b4-b64ead8e4a8a",
+   "metadata": {},
+   "source": [
+    "append(): It added an element to the end of list, \n",
+    "keys(): It returned a dict_keys object containing all the keys currently in the dictionary\n",
+    "upper(): It returned a new string with all characters converted to uppercase."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "122a680e-6daa-4a27-9c88-201bcb0fc2c2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[31mSignature:\u001b[39m my_list.append(object, /)\n",
+       "\u001b[31mDocstring:\u001b[39m Append object to the end of the list.\n",
+       "\u001b[31mType:\u001b[39m      builtin_function_or_method"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "my_list.append?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "039a4bec-ca71-4485-91e2-71d1d20051e6",
+   "metadata": {},
+   "source": [
+    "I used the ? operator to see the documentation for .append() and I saw that it is a built-in method used to add an item to the end of a list"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff4a3fe9-4ddb-48c2-be76-d28bf88426c7",
+   "metadata": {},
+   "source": [
+    "task 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b0715755-ae2d-4331-b787-08e887546592",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "values = [10, 20, 30]\n",
+    "alias = values\n",
+    "alias.append(40)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "dbebdc87-8978-4d07-a36c-fa99c3b35f5e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "values:  [10, 20, 30, 40]\n",
+      "alias:  [10, 20, 30, 40]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"values: \",values)\n",
+    "print(\"alias: \",alias)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8ba87f78-f88c-465d-9267-7d4e502ab1d0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "values:  [10, 20, 30, 40]\n",
+      "copy of values:  [10, 20, 30, 40, 50]\n"
+     ]
+    }
+   ],
+   "source": [
+    "values_copy=values.copy()\n",
+    "values_copy.append(50)\n",
+    "print(\"values: \",values)\n",
+    "print(\"copy of values: \",values_copy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "78bc140d-a6c3-4772-87c9-6d605a44ec67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "record={\"name\":\"Nurana\",\"Surname\":\"Aliyarli\",\"age\":20}\n",
+    "record_alias=record\n",
+    "record_alias[\"city\"]=\"Baku\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c6e6a23d-3f1c-4cc7-88de-0a128c9b095d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "record:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku'}\n",
+      "record_alias:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"record: \",record)\n",
+    "print(\"record_alias: \",record_alias)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "2b5e3795-09b5-4776-ad5e-843ca0d91e86",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "record:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku'}\n",
+      "record_copy:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku', 'university': 'Khazar'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "record_copy=record.copy()\n",
+    "record_copy[\"university\"]=\"Khazar\"\n",
+    "print(\"record: \",record)\n",
+    "print(\"record_copy: \",record_copy)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e10b750-4467-495b-928a-c312bddbfa40",
+   "metadata": {},
+   "source": [
+    "When I use an alias, both names point to the same object in memory,so if I change one, the other changes too. But when I use .copy(), I create a new, independent object, so the original stays safe.\n",
+    "This is also same for functions,if I pass a list into a function, the function can accidentally change my original data because it uses the same reference.To prevent this, I should pass a copy of the list to the function instead."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5c34e31f-0eb1-454c-89ee-fe1350858414",
+   "metadata": {},
+   "source": [
+    "task 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "5033e1ed-e820-4044-bfa8-4c50dff15971",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cleaned count: 9\n",
+      "{'user_id': 2, 'event_type': 'view', 'duration_seconds': 120, 'duration_minutes': 2.0}\n",
+      "{'user_id': 4, 'event_type': 'view', 'duration_seconds': 75, 'duration_minutes': 1.25}\n"
+     ]
+    }
+   ],
+   "source": [
+    "user_events= [\n",
+    "    {\"user_id\":1, \"event_type\":\"login\", \"duration_seconds\":60},\n",
+    "    {\"user_id\":2, \"event_type\":\"view\", \"duration_seconds\":120},\n",
+    "    {\"user_id\":3, \"event_type\":\"click\", \"duration_seconds\":-30},  \n",
+    "    {\"user_id\":4, \"event_type\":\"view\", \"duration_seconds\":75},\n",
+    "    {\"user_id\":5, \"event_type\":\"logout\", \"duration_seconds\":45},\n",
+    "    {\"user_id\":6, \"event_type\":\"login\", \"duration_seconds\":\"none\"},\n",
+    "    {\"user_id\":7, \"event_type\":\"click\", \"duration_seconds\":180},\n",
+    "    {\"user_id\":8, \"event_type\":\"view\", \"duration_seconds\":240},\n",
+    "    {\"user_id\":9, \"event_type\":\"login\", \"duration_seconds\":-90},\n",
+    "    {\"user_id\":10, \"event_type\":\"view\", \"duration_seconds\":600},\n",
+    "    {\"user_id\":11, \"event_type\":\"click\", \"duration_seconds\":15},\n",
+    "    {\"user_id\":12, \"event_type\":\"logout\", \"duration_seconds\":50}]\n",
+    "\n",
+    "cleaned_events = []\n",
+    "\n",
+    "for event in user_events:\n",
+    "    duration = event[\"duration_seconds\"]\n",
+    "    \n",
+    "    if type(duration) in (int, float) and duration >= 0:\n",
+    "        event[\"duration_minutes\"] = duration / 60\n",
+    "        cleaned_events.append(event)\n",
+    "        \n",
+    "print(\"cleaned count:\", len(cleaned_events))\n",
+    "\n",
+    "for event in cleaned_events:\n",
+    "    if not all(key in event for key in [\"user_id\", \"event_type\", \"duration_seconds\", \"duration_minutes\"]):\n",
+    "        print(\"missing key!\")\n",
+    "\n",
+    "print(cleaned_events[1])\n",
+    "print(cleaned_events[2])\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07715d60-8395-4c0d-8322-aa3569ab78b5",
+   "metadata": {},
+   "source": [
+    "we build a dictionary of event counts by event_type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "85b2ed07-1089-48d1-a4b4-5e91b6c15c9c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Event counts: {'login': 2, 'view': 4, 'logout': 2, 'click': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "event_counts = {}\n",
+    "\n",
+    "for event in cleaned_events:\n",
+    "    event_type = event[\"event_type\"]\n",
+    "    \n",
+    "    if event_type in event_counts:\n",
+    "        event_counts[event_type] += 1\n",
+    "    else:\n",
+    "        event_counts[event_type] = 1\n",
+    "\n",
+    "print(\"Event counts:\", event_counts)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e47b8e7-0e53-43a9-9db6-7b573e40e1e8",
+   "metadata": {},
+   "source": [
+    "then we build a dictionary of average duration_minutes by event_type. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "09a7a361-14a2-407a-9063-cdcdd78af391",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "average duration: {'login': 1.25, 'view': 4.3125, 'logout': 0.7916666666666667, 'click': 1.625}\n"
+     ]
+    }
+   ],
+   "source": [
+    "duration_totals = {}\n",
+    "event_numbers = {}\n",
+    "\n",
+    "for event in cleaned_events:\n",
+    "    event_type = event[\"event_type\"]\n",
+    "    duration = event[\"duration_minutes\"]\n",
+    "    \n",
+    "    if event_type in duration_totals:\n",
+    "        duration_totals[event_type] += duration\n",
+    "        event_numbers[event_type] += 1\n",
+    "    else:\n",
+    "        duration_totals[event_type] = duration\n",
+    "        event_numbers[event_type] = 1\n",
+    "\n",
+    "avg_duration = {}\n",
+    "for event_type in duration_totals:\n",
+    "    avg_duration[event_type] = duration_totals[event_type] / event_numbers[event_type]\n",
+    "\n",
+    "print(\"average duration:\", avg_duration)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e3ae55c-2e69-4a89-8caa-35b3570b21b7",
+   "metadata": {},
+   "source": [
+    "we compute number of unique users"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f036d370-88a0-44f1-9c87-47aa93ed85ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "number of unique users: 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "unique_users = set()\n",
+    "for event in cleaned_events:\n",
+    "    unique_users.add(event[\"user_id\"])\n",
+    "\n",
+    "print(\"number of unique users:\", len(unique_users))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ec3bec0-4c9a-4cb6-ae6f-eaa367727d57",
+   "metadata": {},
+   "source": [
+    "we check the the one validation here"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "98109304-c338-4b80-91f2-078e267a8205",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "validation passed\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_count = sum(event_counts.values()) \n",
+    "if total_count == len(cleaned_events):\n",
+    "    print(\"validation passed\")\n",
+    "else:\n",
+    "    print(\"validation failed\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a53546b4-f862-45c8-a513-4be794daa9f7",
+   "metadata": {},
+   "source": [
+    "task 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "2d6754aa-e97b-4463-8985-1fab9ff17afd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "metric,key,value\n",
+      "count,login,2\n",
+      "count,view,4\n",
+      "count,logout,2\n",
+      "count,click,2\n",
+      "average,login,1.25\n",
+      "average,view,4.3125\n",
+      "average,logout,0.7916666666666667\n",
+      "average,click,1.625\n",
+      "unique_users,all,10\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "import io\n",
+    "import csv\n",
+    "\n",
+    "csv_rows = [[\"metric\", \"key\", \"value\"]]\n",
+    "\n",
+    "#one row per event type for the counts\n",
+    "for event_type, count in event_counts.items():\n",
+    "    csv_rows.append([\"count\", event_type, count])\n",
+    "\n",
+    "#one row per event type for the averages\n",
+    "for event_type, avg in avg_duration.items():\n",
+    "    csv_rows.append([\"average\", event_type, avg])\n",
+    "\n",
+    "#final row for the unique user count\n",
+    "csv_rows.append([\"unique_users\", \"all\", len(unique_users)])\n",
+    "\n",
+    "output = io.StringIO()\n",
+    "writer = csv.writer(output)\n",
+    "writer.writerows(csv_rows)\n",
+    "csv_string = output.getvalue()\n",
+    "\n",
+    "print(csv_string)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5ddd327-befb-4eee-b0f0-c22d6bbcd954",
+   "metadata": {},
+   "source": [
+    "THE CSV FILE\n",
+    "\n",
+    "metric,key,value\n",
+    "count,login,2\n",
+    "count,view,4\n",
+    "count,logout,2\n",
+    "count,click,2\n",
+    "average,login,1.25\n",
+    "average,view,4.3125\n",
+    "average,logout,0.7916666666666667\n",
+    "average,click,1.625\n",
+    "unique_users,all,10"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/.ipynb_checkpoints/untitled-checkpoint.py b/.ipynb_checkpoints/untitled-checkpoint.py
new file mode 100644
index 0000000..e5c45bb
--- /dev/null
+++ b/.ipynb_checkpoints/untitled-checkpoint.py
@@ -0,0 +1,17 @@
+def to_float(s):
+    try:
+        return float(s)
+    except (ValueError, TypeError):
+        return None
+
+def clean(s):
+    return str(s).strip().lower()
+
+test_data = ["  42.5  ", "PYTHON", " 100 ", "alma123", "   "]
+
+for item in test_data:
+    cleaned_text = clean(item)
+    float_value = to_float(cleaned_text)
+    
+    # Nəticəni "expression" şəklində göstərək
+    print(f"Giriş: {repr(item):<10} | Təmiz: {repr(cleaned_text):<10} | Rəqəm: {float_value}")
\ No newline at end of file
diff --git a/m1-01-ipython-python-basics-lab.ipynb b/m1-01-ipython-python-basics-lab.ipynb
new file mode 100644
index 0000000..9844494
--- /dev/null
+++ b/m1-01-ipython-python-basics-lab.ipynb
@@ -0,0 +1,552 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "813714e6-069f-4a18-8345-fc250517c51e",
+   "metadata": {},
+   "source": [
+    "task 1, first,we create values and assign them variable "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "aed222f3-b0ed-4157-b709-b2773b646010",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "my_int=19\n",
+    "my_float=22.5\n",
+    "my_str=\"ironhack\"\n",
+    "my_list=[2,4,6,8,10]\n",
+    "my_dict={\"apple\":\"green\",\"banana\":\"yellow\"}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7541b79c-4a57-420f-a814-7c7503e4dd3e",
+   "metadata": {},
+   "source": [
+    "we check the type of each variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "ad3bcd65-2d54-458b-b283-489793fa77f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'int'>\n",
+      "<class 'float'>\n",
+      "<class 'str'>\n",
+      "<class 'list'>\n",
+      "<class 'dict'>\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(type(my_int))\n",
+    "print(type(my_float))\n",
+    "print(type(my_str))\n",
+    "print(type(my_list))\n",
+    "print(type(my_dict))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f9e53042-ddd9-4663-8936-8701e591ef71",
+   "metadata": {},
+   "source": [
+    "type of my_int: integer, type of my_float: float, type of my_str: string, type of my_list: list, type of my_dict: dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "31f74414-83ba-428e-9176-6d119f37b35f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[2, 4, 6, 8, 10, 12]\n",
+      "dict_keys(['apple', 'banana'])\n",
+      "IRONHACK\n"
+     ]
+    }
+   ],
+   "source": [
+    "my_list.append(12)\n",
+    "print(my_list)\n",
+    "print(my_dict.keys())\n",
+    "print(my_str.upper())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4b376c3f-61c3-4f7f-a9b4-b64ead8e4a8a",
+   "metadata": {},
+   "source": [
+    "append(): It added an element to the end of list, \n",
+    "keys(): It returned a dict_keys object containing all the keys currently in the dictionary\n",
+    "upper(): It returned a new string with all characters converted to uppercase."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "122a680e-6daa-4a27-9c88-201bcb0fc2c2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[31mSignature:\u001b[39m my_list.append(object, /)\n",
+       "\u001b[31mDocstring:\u001b[39m Append object to the end of the list.\n",
+       "\u001b[31mType:\u001b[39m      builtin_function_or_method"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "my_list.append?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "039a4bec-ca71-4485-91e2-71d1d20051e6",
+   "metadata": {},
+   "source": [
+    "I used the ? operator to see the documentation for .append() and I saw that it is a built-in method used to add an item to the end of a list"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff4a3fe9-4ddb-48c2-be76-d28bf88426c7",
+   "metadata": {},
+   "source": [
+    "task 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b0715755-ae2d-4331-b787-08e887546592",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "values = [10, 20, 30]\n",
+    "alias = values\n",
+    "alias.append(40)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "dbebdc87-8978-4d07-a36c-fa99c3b35f5e",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "values:  [10, 20, 30, 40]\n",
+      "alias:  [10, 20, 30, 40]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"values: \",values)\n",
+    "print(\"alias: \",alias)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8ba87f78-f88c-465d-9267-7d4e502ab1d0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "values:  [10, 20, 30, 40]\n",
+      "copy of values:  [10, 20, 30, 40, 50]\n"
+     ]
+    }
+   ],
+   "source": [
+    "values_copy=values.copy()\n",
+    "values_copy.append(50)\n",
+    "print(\"values: \",values)\n",
+    "print(\"copy of values: \",values_copy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "78bc140d-a6c3-4772-87c9-6d605a44ec67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "record={\"name\":\"Nurana\",\"Surname\":\"Aliyarli\",\"age\":20}\n",
+    "record_alias=record\n",
+    "record_alias[\"city\"]=\"Baku\"\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c6e6a23d-3f1c-4cc7-88de-0a128c9b095d",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "record:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku'}\n",
+      "record_alias:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"record: \",record)\n",
+    "print(\"record_alias: \",record_alias)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "2b5e3795-09b5-4776-ad5e-843ca0d91e86",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "record:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku'}\n",
+      "record_copy:  {'name': 'Nurana', 'Surname': 'Aliyarli', 'age': 20, 'city': 'Baku', 'university': 'Khazar'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "record_copy=record.copy()\n",
+    "record_copy[\"university\"]=\"Khazar\"\n",
+    "print(\"record: \",record)\n",
+    "print(\"record_copy: \",record_copy)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e10b750-4467-495b-928a-c312bddbfa40",
+   "metadata": {},
+   "source": [
+    "When I use an alias, both names point to the same object in memory,so if I change one, the other changes too. But when I use .copy(), I create a new, independent object, so the original stays safe.\n",
+    "This is also same for functions,if I pass a list into a function, the function can accidentally change my original data because it uses the same reference.To prevent this, I should pass a copy of the list to the function instead."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5c34e31f-0eb1-454c-89ee-fe1350858414",
+   "metadata": {},
+   "source": [
+    "task 4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "5033e1ed-e820-4044-bfa8-4c50dff15971",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "cleaned count: 9\n",
+      "{'user_id': 2, 'event_type': 'view', 'duration_seconds': 120, 'duration_minutes': 2.0}\n",
+      "{'user_id': 4, 'event_type': 'view', 'duration_seconds': 75, 'duration_minutes': 1.25}\n"
+     ]
+    }
+   ],
+   "source": [
+    "user_events= [\n",
+    "    {\"user_id\":1, \"event_type\":\"login\", \"duration_seconds\":60},\n",
+    "    {\"user_id\":2, \"event_type\":\"view\", \"duration_seconds\":120},\n",
+    "    {\"user_id\":3, \"event_type\":\"click\", \"duration_seconds\":-30},  \n",
+    "    {\"user_id\":4, \"event_type\":\"view\", \"duration_seconds\":75},\n",
+    "    {\"user_id\":5, \"event_type\":\"logout\", \"duration_seconds\":45},\n",
+    "    {\"user_id\":6, \"event_type\":\"login\", \"duration_seconds\":\"none\"},\n",
+    "    {\"user_id\":7, \"event_type\":\"click\", \"duration_seconds\":180},\n",
+    "    {\"user_id\":8, \"event_type\":\"view\", \"duration_seconds\":240},\n",
+    "    {\"user_id\":9, \"event_type\":\"login\", \"duration_seconds\":-90},\n",
+    "    {\"user_id\":10, \"event_type\":\"view\", \"duration_seconds\":600},\n",
+    "    {\"user_id\":11, \"event_type\":\"click\", \"duration_seconds\":15},\n",
+    "    {\"user_id\":12, \"event_type\":\"logout\", \"duration_seconds\":50}]\n",
+    "\n",
+    "cleaned_events = []\n",
+    "\n",
+    "for event in user_events:\n",
+    "    duration = event[\"duration_seconds\"]\n",
+    "    \n",
+    "    if type(duration) in (int, float) and duration >= 0:\n",
+    "        event[\"duration_minutes\"] = duration / 60\n",
+    "        cleaned_events.append(event)\n",
+    "        \n",
+    "print(\"cleaned count:\", len(cleaned_events))\n",
+    "\n",
+    "for event in cleaned_events:\n",
+    "    if not all(key in event for key in [\"user_id\", \"event_type\", \"duration_seconds\", \"duration_minutes\"]):\n",
+    "        print(\"missing key!\")\n",
+    "\n",
+    "print(cleaned_events[1])\n",
+    "print(cleaned_events[2])\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07715d60-8395-4c0d-8322-aa3569ab78b5",
+   "metadata": {},
+   "source": [
+    "we build a dictionary of event counts by event_type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "85b2ed07-1089-48d1-a4b4-5e91b6c15c9c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Event counts: {'login': 2, 'view': 4, 'logout': 2, 'click': 2}\n"
+     ]
+    }
+   ],
+   "source": [
+    "event_counts = {}\n",
+    "\n",
+    "for event in cleaned_events:\n",
+    "    event_type = event[\"event_type\"]\n",
+    "    \n",
+    "    if event_type in event_counts:\n",
+    "        event_counts[event_type] += 1\n",
+    "    else:\n",
+    "        event_counts[event_type] = 1\n",
+    "\n",
+    "print(\"Event counts:\", event_counts)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e47b8e7-0e53-43a9-9db6-7b573e40e1e8",
+   "metadata": {},
+   "source": [
+    "then we build a dictionary of average duration_minutes by event_type. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "09a7a361-14a2-407a-9063-cdcdd78af391",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "average duration: {'login': 1.25, 'view': 4.3125, 'logout': 0.7916666666666667, 'click': 1.625}\n"
+     ]
+    }
+   ],
+   "source": [
+    "duration_totals = {}\n",
+    "event_numbers = {}\n",
+    "\n",
+    "for event in cleaned_events:\n",
+    "    event_type = event[\"event_type\"]\n",
+    "    duration = event[\"duration_minutes\"]\n",
+    "    \n",
+    "    if event_type in duration_totals:\n",
+    "        duration_totals[event_type] += duration\n",
+    "        event_numbers[event_type] += 1\n",
+    "    else:\n",
+    "        duration_totals[event_type] = duration\n",
+    "        event_numbers[event_type] = 1\n",
+    "\n",
+    "avg_duration = {}\n",
+    "for event_type in duration_totals:\n",
+    "    avg_duration[event_type] = duration_totals[event_type] / event_numbers[event_type]\n",
+    "\n",
+    "print(\"average duration:\", avg_duration)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e3ae55c-2e69-4a89-8caa-35b3570b21b7",
+   "metadata": {},
+   "source": [
+    "we compute number of unique users"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f036d370-88a0-44f1-9c87-47aa93ed85ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "number of unique users: 10\n"
+     ]
+    }
+   ],
+   "source": [
+    "unique_users = set()\n",
+    "for event in cleaned_events:\n",
+    "    unique_users.add(event[\"user_id\"])\n",
+    "\n",
+    "print(\"number of unique users:\", len(unique_users))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ec3bec0-4c9a-4cb6-ae6f-eaa367727d57",
+   "metadata": {},
+   "source": [
+    "we check the the one validation here"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "98109304-c338-4b80-91f2-078e267a8205",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "validation passed\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_count = sum(event_counts.values()) \n",
+    "if total_count == len(cleaned_events):\n",
+    "    print(\"validation passed\")\n",
+    "else:\n",
+    "    print(\"validation failed\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a53546b4-f862-45c8-a513-4be794daa9f7",
+   "metadata": {},
+   "source": [
+    "task 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "2d6754aa-e97b-4463-8985-1fab9ff17afd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "metric,key,value\n",
+      "count,login,2\n",
+      "count,view,4\n",
+      "count,logout,2\n",
+      "count,click,2\n",
+      "average,login,1.25\n",
+      "average,view,4.3125\n",
+      "average,logout,0.7916666666666667\n",
+      "average,click,1.625\n",
+      "unique_users,all,10\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "import io\n",
+    "import csv\n",
+    "\n",
+    "csv_rows = [[\"metric\", \"key\", \"value\"]]\n",
+    "\n",
+    "#one row per event type for the counts\n",
+    "for event_type, count in event_counts.items():\n",
+    "    csv_rows.append([\"count\", event_type, count])\n",
+    "\n",
+    "#one row per event type for the averages\n",
+    "for event_type, avg in avg_duration.items():\n",
+    "    csv_rows.append([\"average\", event_type, avg])\n",
+    "\n",
+    "#final row for the unique user count\n",
+    "csv_rows.append([\"unique_users\", \"all\", len(unique_users)])\n",
+    "\n",
+    "output = io.StringIO()\n",
+    "writer = csv.writer(output)\n",
+    "writer.writerows(csv_rows)\n",
+    "csv_string = output.getvalue()\n",
+    "\n",
+    "print(csv_string)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5ddd327-befb-4eee-b0f0-c22d6bbcd954",
+   "metadata": {},
+   "source": [
+    "THE CSV FILE\n",
+    "\n",
+    "metric,key,value\n",
+    "count,login,2\n",
+    "count,view,4\n",
+    "count,logout,2\n",
+    "count,click,2\n",
+    "average,login,1.25\n",
+    "average,view,4.3125\n",
+    "average,logout,0.7916666666666667\n",
+    "average,click,1.625\n",
+    "unique_users,all,10"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/m1-01-task-3-functions.py b/m1-01-task-3-functions.py
new file mode 100644
index 0000000..6e90697
--- /dev/null
+++ b/m1-01-task-3-functions.py
@@ -0,0 +1,16 @@
+def to_float(a):
+    try:
+        return float(a)
+    except (ValueError, TypeError):
+        return None
+
+def clean(a):
+    return str(a).strip().lower()
+
+test= ["IronHACK", " 2006 ", "data", "   ","  20.33  "]
+
+for item in test:
+    cleaned_text = clean(item)
+    float_value = to_float(cleaned_text)
+    
+    print("Input: ", item, " Clean: ", cleaned_text, " Float: ", float_value)
\ No newline at end of file