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210 changes: 210 additions & 0 deletions m1-01-ipython-python-basics-lab.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "1e14eece",
"metadata": {},
"outputs": [],
"source": [
"int1 = 15\n",
"flt1 = 13.5\n",
"str1 = \"hello world\"\n",
"ls1 = [3, 4, 6, 1,]\n",
"dct1 = {\"name1\": 1, \"name2\": 2, \"name3\": 3}\n",
"\n",
"print(type(int1))\n",
"print(type(flt1))\n",
"print(type(str1))\n",
"print(type(ls1))\n",
"print(type(dct1))\n",
"\n",
"str1 = str1.upper() #Made all characters have uppercase\n",
"ls1.append(7) #Added an element '7'\n",
"dct1.pop('name1') #Removed the element 'name': 1\n",
"\n",
"str1.capitalize() # Short note as help from the software: \"Return a capitalized version of the string. More specifically make the first character have upper case and the rest lower case\"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "45541603",
"metadata": {},
"outputs": [],
"source": [
"values = [1, 2, 3, 4, 5]\n",
"alias = values\n",
"alias.append(8)\n",
"print(values, alias)\n",
"\n",
"# The output of both lists: [1, 2, 3, 4, 5, 8] [1, 2, 3, 4, 5, 8]\n",
"\n",
"\n",
"alias = values.copy()\n",
"alias.append(9)\n",
"print(values, alias)\n",
"\n",
"#The output of values and alias respectively: [1, 2, 3, 4, 5, 8] [1, 2, 3, 4, 5, 8, 9]\n",
"\n",
"\n",
"record = {'p1': 1, 'p2': 2, 'p3': 3}\n",
"record_copy = record\n",
"record_copy['p5'] = 5\n",
"print(record, record_copy)\n",
"\n",
"#The output of both dictionaries: {'p1': 1, 'p2': 2, 'p3': 3, 'p5': 5} {'p1': 1, 'p2': 2, 'p3': 3, 'p5': 5}\n",
"\n",
"\n",
"record_copy = record.copy()\n",
"record_copy['p6'] = 6\n",
"print(record, record_copy)\n",
"\n",
"#The output of record and record_copy respectively: {'p1': 1, 'p2': 2, 'p3': 3, 'p5': 5} {'p1': 1, 'p2': 2, 'p3': 3, 'p5': 5, 'p6': 6}\n",
"\n",
"\n",
"\n",
"#During the first step when we use a simple \"=\" which instead of copying a collection's elements, only acts as a reference to it.\n",
"#That's why when we make changes to the second collection, the first one gets affected.\n",
"#However when we use .copy() method, it creates a shallow copy of the original, which then gets assigned to the second collection,\n",
"#thus making it independent from the first. That's why when changes are made once more, the original collection remains unaffected\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cb299f65",
"metadata": {},
"outputs": [],
"source": [
"p1 = {'user_id': 230104001, 'event_type': 'event1', 'duration_seconds': 102}\n",
"p2 = {'user_id': 230104002, 'event_type': 'event1', 'duration_seconds': 235}\n",
"p3 = {'user_id': 230104003, 'event_type': 'event1', 'duration_seconds': -320}\n",
"p4 = {'user_id': 230104004, 'event_type': 'event2', 'duration_seconds': 427}\n",
"p5 = {'user_id': 230104005, 'event_type': 'event5', 'duration_seconds': -2698}\n",
"p6 = {'user_id': 230104006, 'event_type': 'event5', 'duration_seconds': 4653}\n",
"p7 = {'user_id': 230104007, 'event_type': 'event5', 'duration_seconds': 3800}\n",
"p8 = {'user_id': 230104008, 'event_type': 'event2', 'duration_seconds': 546}\n",
"p9 = {'user_id': 230104009, 'event_type': 'event9', 'duration_seconds': 1032}\n",
"p10 = {'user_id': 230104010, 'event_type': 'event10', 'duration_seconds': 789}\n",
"p11 = {'user_id': 230104011, 'event_type': 'event2', 'duration_seconds': \"N/A\"}\n",
"p12 = {'user_id': 230104012, 'event_type': 'event2', 'duration_seconds': 600}\n",
"\n",
"lsP = [p1, p2, p3, p4, p5, p6, p7, p8, p9, p10, p11, p12]\n",
"cleaned_events = []\n",
"\n",
"for i in lsP:\n",
" if isinstance(i['duration_seconds'], int):\n",
" if i['duration_seconds'] > 0:\n",
" new_record = i.copy()\n",
" new_record['duration_minutes'] = round(i['duration_seconds'] / 60, 1)\n",
" cleaned_events.append(new_record)\n",
"\n",
"\n",
"print(len(cleaned_events) == 9)\n",
"\n",
"required_keys = {'user_id', 'event_type', 'duration_seconds', 'duration_minutes'}\n",
"\n",
"for record in cleaned_events:\n",
" print(required_keys.issubset(record.keys()))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a5cf3c83",
"metadata": {},
"outputs": [],
"source": [
"event_counts = {}\n",
"sum_time = {}\n",
"\n",
"for i in cleaned_events:\n",
"\n",
" etype = i['event_type']\n",
" duration = i['duration_minutes']\n",
"\n",
" if etype in event_counts:\n",
"\n",
" event_counts[etype] += 1\n",
"\n",
" else:\n",
" event_counts[etype] = 1\n",
" \n",
"\n",
" if etype in sum_time:\n",
" sum_time[etype] += duration\n",
" else:\n",
" sum_time[etype] = duration\n",
"\n",
"\n",
"\n",
"avg_time = {}\n",
"for etype in sum_time:\n",
" avg_time[etype] = sum_time[etype] / event_counts[etype]\n",
" avg_time[etype] = round(avg_time[etype], 1)\n",
"\n",
"\n",
"unique_users = len({record['user_id'] for record in cleaned_events})\n",
"validation = sum(event_counts.values()) == len(cleaned_events)\n",
"\n",
"print(\"Event counts:\", event_counts)\n",
"print(\"Average duration (minutes):\", avg_time)\n",
"print(\"Number of unique users:\", unique_users)\n",
"print(\"Validation (counts match cleaned_events?):\", validation)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "80cf80ef",
"metadata": {},
"outputs": [],
"source": [
"csv_string = \"metric,key,value\\n\"\n",
"\n",
"for i in event_counts:\n",
" csv_string += f\"count,{i},{event_counts[i]}\\n\"\n",
"\n",
"for i in avg_time:\n",
" csv_string += f\"average_time,{i},{avg_time[i]}\\n\"\n",
"\n",
"csv_string += f\"unique_users,all,{unique_users}\"\n",
"\n",
"print(csv_string)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e1304306",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"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": "3.13.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
20 changes: 20 additions & 0 deletions m1-01-task-3-functions.py
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def strFloat(str1):
try:

return float(str1)

except (ValueError, TypeError):

return None

def cleanStr(str1):

nstr = str1.strip()
nstr = nstr.lower()
return nstr


inputList = [" sdFaEDei ", "12.4", " 123. ", ".hEllO.12.3 ! ", "3.1_data_structures_lists", "168.5893 "]

for i in inputList:
print(strFloat(i),"\t", cleanStr(i))