Python Practice Project

Quyida ikkita demo dataset berilgan: Users va Products. Ushbu ma’lumotlardan foydalanib turli amaliy topshiriqlarni bajarish mumkin.

---

📌 Users Data

users ro‘yxatida 20 ta foydalanuvchi haqidagi ma’lumot mavjud. Har bir foydalanuvchida quyidagi kalitlar (keys) bor:

• name → foydalanuvchi ismi
• email → elektron pochta manzili
• age → yoshi
• phone → telefon raqami
• country → yashash davlati

Misol:

users = [
    {"name": "Ali", "email": "ali0@gmail.com", "age": 25, "phone": "+998901234567", "country": "Uzbekistan"},
    {"name": "Vali", "email": "vali1@yahoo.com", "age": 32, "phone": "+998911112233", "country": "USA"},
    {"name": "Gani", "email": "gani2@hotmail.com", "age": 41, "phone": "+998933334455", "country": "UK"},
    {"name": "Sami", "email": "sami3@mail.ru", "age": 29, "phone": "+998944445566", "country": "Germany"},
    {"name": "Madina", "email": "madina4@outlook.com", "age": 21, "phone": "+998955556677", "country": "France"},
    {"name": "Aziza", "email": "aziza5@gmail.com", "age": 38, "phone": "+998966667788", "country": "Uzbekistan"},
    {"name": "Lola", "email": "lola6@yahoo.com", "age": 27, "phone": "+998977778899", "country": "USA"},
    {"name": "Zarina", "email": "zarina7@hotmail.com", "age": 30, "phone": "+998988889900", "country": "UK"},
    {"name": "Kamol", "email": "kamol8@mail.ru", "age": 22, "phone": "+998901112223", "country": "Germany"},
    {"name": "Umid", "email": "umid9@outlook.com", "age": 35, "phone": "+998912223344", "country": "France"},
    {"name": "Bekzod", "email": "bekzod10@gmail.com", "age": 28, "phone": "+998923334455", "country": "Uzbekistan"},
    {"name": "Dilshod", "email": "dilshod11@yahoo.com", "age": 40, "phone": "+998934445566", "country": "USA"},
    {"name": "Nodir", "email": "nodir12@hotmail.com", "age": 24, "phone": "+998945556677", "country": "UK"},
    {"name": "Shahnoza", "email": "shahnoza13@mail.ru", "age": 26, "phone": "+998956667788", "country": "Germany"},
    {"name": "Nigora", "email": "nigora14@outlook.com", "age": 31, "phone": "+998967778899", "country": "France"},
    {"name": "Sevinch", "email": "sevinch15@gmail.com", "age": 23, "phone": "+998978889900", "country": "Uzbekistan"},
    {"name": "Laziz", "email": "laziz16@yahoo.com", "age": 36, "phone": "+998989990011", "country": "USA"},
    {"name": "Anvar", "email": "anvar17@hotmail.com", "age": 33, "phone": "+998901223344", "country": "UK"},
    {"name": "Javlon", "email": "javlon18@mail.ru", "age": 20, "phone": "+998912334455", "country": "Germany"},
    {"name": "Diyor", "email": "diyor19@outlook.com", "age": 39, "phone": "+998923445566", "country": "France"},
]

🎯 Tasks

Ushbu dataset yordamida quyidagilarni o‘rganasiz:

• task 01: users ro‘yxatidan barcha foydalanuvchilarning name qiymatlarini ajratib olib, alohida list ko‘rinishida chiqaring.
• task 02: users ro‘yxatidan barcha foydalanuvchilarning email manzillarini list ko‘rinishida chiqaring.
• task 03: Har bir email manzilidan @ belgidan keyin keladigan domen qismini ajratib oling va ularni list ko‘rinishida chiqaring.
• task 04: Foydalanuvchilarning telefon raqamidan foydalanib qidiruv qiling. Funksiyaga berilgan telefon raqamiga tegishli user ma’lumotini qaytaring.
• task 05: Foydalanuvchilarning email manzilidan foydalanib qidiruv qiling. Funksiyaga berilgan emailga tegishli user ma’lumotini qaytaring.
• task 06: users ro‘yxatidan barcha country qiymatlarini ajratib oling va faqatgina takrorlanmagan (unique) davlatlar ro‘yxatini chiqaring.
• task 07: Foydalanuvchilarni ularning country qiymati bo‘yicha guruhlab chiqing. Har bir davlat nomiga tegishli foydalanuvchilar ro‘yxatini yarating.
• task 08: Foydalanuvchilarni ularning age qiymati bo‘yicha guruhlab chiqing. Har bir yosh qiymati ostida shu yoshdagi userlar chiqsin.
• task 09: users ro‘yxatidan eng yosh (min age) va eng katta yosh (max age) foydalanuvchini topib chiqaring. Ikkala user ma’lumotini qaytaring.
• task 10: Funksiyaga min_age va max_age qiymatlari beriladi. Shu oralig‘idagi barcha foydalanuvchilarni ro‘yxat qilib qaytaring.

---

---

📌 Products Data

products ro‘yxatida 20 ta mahsulot haqidagi ma’lumot mavjud. Har bir mahsulotda quyidagi kalitlar (keys) mavjud:

• name → mahsulot nomi
• price → narxi (USD)
• category → mahsulot kategoriyasi

Misol:

products = [
    {"name": "iPhone 15", "price": 1200, "category": "Electronics"},
    {"name": "Samsung TV", "price": 800, "category": "Electronics"},
    {"name": "Nike Shoes", "price": 150, "category": "Fashion"},
    {"name": "Adidas Shoes", "price": 120, "category": "Fashion"},
    {"name": "Couch", "price": 500, "category": "Furniture"},
    {"name": "Chair", "price": 100, "category": "Furniture"},
    {"name": "MacBook Pro", "price": 2000, "category": "Electronics"},
    {"name": "T-shirt", "price": 25, "category": "Fashion"},
    {"name": "Desk", "price": 220, "category": "Furniture"},
    {"name": "Monitor", "price": 300, "category": "Electronics"},
    {"name": "Keyboard", "price": 50, "category": "Electronics"},
    {"name": "Mouse", "price": 30, "category": "Electronics"},
    {"name": "Jeans", "price": 80, "category": "Fashion"},
    {"name": "Jacket", "price": 200, "category": "Fashion"},
    {"name": "Bed", "price": 700, "category": "Furniture"},
    {"name": "Lamp", "price": 60, "category": "Furniture"},
    {"name": "iPad", "price": 900, "category": "Electronics"},
    {"name": "Watch", "price": 250, "category": "Fashion"},
    {"name": "Bookshelf", "price": 400, "category": "Furniture"},
    {"name": "Headphones", "price": 180, "category": "Electronics"},
]

---

🎯 Tasks

Ushbu dataset yordamida quyidagilarni o‘rganasiz:

Zo‘r! Endi products dataset uchun ham xuddi usersdagidek aniq va tushunarli 10 ta task yozib beraman. Formatni o‘zgartirmayman:

---

🎯 Tasks

Ushbu dataset yordamida quyidagilarni o‘rganasiz:

• task 11: products ro‘yxatidan barcha mahsulotlarning name qiymatlarini ajratib olib, alohida list ko‘rinishida chiqaring.
• task 12: products ro‘yxatidan barcha mahsulotlarning price qiymatlarini list qilib chiqaring.
• task 13: products ro‘yxatidan barcha mahsulotlarning category qiymatlarini ajratib oling va unique ro‘yxat ko‘rinishida chiqaring.
• task 14: products ichidan eng qimmat mahsulotni toping va uning barcha ma’lumotlarini qaytaring.
• task 15: products ichidan eng arzon mahsulotni toping va uning barcha ma’lumotlarini qaytaring.
• task 16: Foydalanuvchi tomonidan berilgan narxdan yuqori mahsulotlarni ro‘yxat qilib qaytaring.
• task 17: Foydalanuvchi tomonidan berilgan narxdan past mahsulotlarni ro‘yxat qilib qaytaring.
• task 18: products ni category qiymatlari bo‘yicha guruhlab chiqaring. Har bir kategoriya ichida shu guruhga tegishli mahsulotlar bo‘lsin.
• task 19: Funksiyaga min_price va max_price qiymatlari beriladi. Shu oraliqda bo‘lgan barcha mahsulotlarni ro‘yxat qilib qaytaring.
• task 20: Har bir kategoriyaga tegishli mahsulotlarning o‘rtacha narxini hisoblang va natijani dictionary ko‘rinishida chiqaring.