🔹 1-DARAJA (Asosiy tushunchalarni mustahkamlash)

1. Foydali sonlarni ajratish

Berilgan ro'yxatdan musbat sonlarni filter() yordamida ajrating.

numbers = [4, -2, 0, 7, -9, 3, -1, 5]

2. Har bir sonni kvadratga oshiring

map() yordamida quyidagi ro'yxatdagi har bir sonni kvadratga oshiring.

nums = [1, 2, 3, 4, 5]

3. Eng kichik va eng katta

min() va max() yordamida quyidagi ro'yxatdan eng kichik va eng katta sonni toping.

numbers = [18, 29, 3, 45, 7, 12]

4. Alfavit tartibida saralash

sorted() yordamida ismlarni alfavit tartibida saralang.

names = ["Zafar", "Ali", "Sami", "Bekzod"]

5. lambda bilan ko'paytirish

Har bir elementni 5 ga ko'paytirish uchun map() va lambdadan foydalaning.

nums = [2, 4, 6, 8]

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🔹 2-DARAJA (Oraliq daraja, real hayotga yaqinlashtirish)

6. Email domenlarini ajratish

Quyidagi email ro’yxatidan faqat gmail.com domeniga tegishlilarni ajrating.

emails = ["ali@gmail.com", "vali@yahoo.com", "sami@gmail.com", "bek@outlook.com"]

7. Narxlarni $ belgisiz olish

Quyidagi narxlar ro’yxatidan $ belgisiz faqat raqamlarni ajrating (lambda bilan).

prices = ["$120", "$340", "$50", "$90"]

8. Yoshi bo'yicha sortlash

Quyidagi lug’atdagi odamlarni yosh bo’yicha o’sish tartibida saralang.

people = [
  {"name": "Ali", "age": 25},
  {"name": "Sami", "age": 19},
  {"name": "Lola", "age": 31}
]

9. Eng uzoq ismni toping

max() va lambda yordamida eng uzun ismni toping:

names = ["Ali", "Valijon", "Sami", "Diyorbek"]

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🔹 3-DARAJA (Chuqur tushunish, funksional yondashuv)

10. Matndan raqamlarni ajratish

Berilgan matndan faqat sonlarni ajrating:

text = ["apple", "34", "banana", "100", "abc", "75"]

Natija: ['34', '100', '75']

11. Juft sonlarning kvadratlari

Faqat juft sonlarni tanlab, ularning kvadratlarini filter() + map() bilan hisoblang.

nums = list(range(1, 21))

12. Talabalarni baho bo‘yicha tartiblang

Baholar bo‘yicha saralash (kichikdan katta):

students = [
  {"name": "Aziz", "grade": 89},
  {"name": "Kamola", "grade": 95},
  {"name": "Javlon", "grade": 76}
]

13. Top 3 eng uzun so‘z

Matndagi eng uzun 3 ta so‘zni toping:

sentence = "Functional programming in Python is very powerful and elegant"

Foydalaning: sorted(), lambda, split(), [:3]

14. list.sort bilan joyida o'zgartirish

Quyidagi ro’yxatni uzunlik bo‘yicha joyida sort qiling:

words = ["sun", "mountain", "a", "apple"]

list.sort(key=lambda ...) ishlatilishi kerak.

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🔹 4-DARAJA (Chuqur tahlil va kompozitsiya)

15. Tanlovlar ro'yxatidan eng ko'p ovoz olganini topish

Har bir tanlovda necha ovoz borligini bilgan holda eng ko'p ovoz olgan variantni aniqlang.

votes = [
  {"option": "A", "votes": 123},
  {"option": "B", "votes": 145},
  {"option": "C", "votes": 97}
]

max(..., key=lambda x: x["votes"])

16. lambda bilan ro'yxatni qisqartirish

Berilgan ro’yxatdagi faqat string va uzunligi 5 dan katta bo‘lganlarni ajrating:

data = [123, "apple", "banana", "cat", 456, "mango", "elephant"]

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🧪 Dictionary Amaliy Tasks - Advanced Practice

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1. get_full_names(data)

🔍 Vazifa: Har bir foydalanuvchining to‘liq ismini "First Last" formatida ro‘yxatga joylashtiring.

📥 Input: randomuser_data 📤 Output: ["Atilla Bennink", "Stefanus Hilgersom", ...] 🎯 Maqsad: Nested dictionary ichidan ma’lumot olishni mashq qilish.

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2. get_users_by_country(data, country_name)

🔍 Vazifa: Faqat country_name bo‘yicha yashovchi foydalanuvchilarni filtrlang va ularning full name va email’larini qaytaring.

📥 Input: "India" 📤 Output: [{"name": "Suhasini Bhardwaj", "email": "suhasini.bhardwaj@example.com"}, ...] 🎯 Maqsad: Filtering va list comprehensionni mustahkamlash.

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3. count_users_by_gender(data)

🔍 Vazifa: Foydalanuvchilarni jinsi bo‘yicha sanang va dictda qaytaring.

📤 Output: {'male': 6, 'female': 4} 🎯 Maqsad: Counting values in list + dictionary manipulyatsiyasi.

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4. get_emails_of_older_than(data, age)

🔍 Vazifa: Belgilangan yoshi katta bo‘lgan userlarning email ro‘yxatini qaytaring.

📥 Input: age = 60 📤 Output: ["molly.king@example.com", ...] 🎯 Maqsad: If orqali filter qilish + list yaratish.

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5. sort_users_by_age(data, descending=False)

🔍 Vazifa: Foydalanuvchilarni yoshiga qarab o‘sish yoki kamayish tartibida sortlab, full name va yoshini chiqaring.

📤 Output: [{name: "Alison Berry", age: 54}, ...] 🎯 Maqsad: sorted() funksiyasi va lambdadan foydalanishni o‘rganish.

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6. get_usernames_starting_with(data, letter)

🔍 Vazifa: Login bo‘yicha letter harfi bilan boshlanuvchi username’larni toping.

📥 Input: "g" 📤 Output: ["goldenbutterfly464", "goldenzebra713", ...] 🎯 Maqsad: String bilan ishlash + filtering skills.

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7. get_average_age(data)

🔍 Vazifa: Foydalanuvchilar orasidagi o‘rtacha yoshni hisoblang, natijani float qilib qaytaring.

📤 Output: 56.4 🎯 Maqsad: Loop + matematik hisob-kitob.

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8. group_users_by_nationality(data)

🔍 Vazifa: Foydalanuvchilarni nat (nationality) bo‘yicha guruhlab, sonini hisoblang.

📤 Output: {"NL": 3, "IN": 2, "IE": 2, ...} 🎯 Maqsad: Dictionary bilan grouping va counting.

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9. get_all_coordinates(data)

🔍 Vazifa: Har bir userning koordinatalarini tuple shaklida ro‘yxatda qaytaring.

📤 Output: [("36.7507", "-169.1103"), ...] 🎯 Maqsad: Nested dictionarylardan qiymat olish.

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10. get_oldest_user(data)

🔍 Vazifa: Eng katta yoshdagi foydalanuvchining name, age, va emailini dictionaryda qaytaring.

📤 Output: {"name": "Molly King", "age": 80, "email": "molly.king@example.com"} 🎯 Maqsad: max() funksiyasini o‘rganish.

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🧠 BONUS — KREATIV TASKLAR

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11. find_users_in_timezone(data, offset)

🔍 Vazifa: "timezone.offset" qiymati +5:30 bo‘lgan userlarni full name va city bilan qaytaring.

📤 Output: [{"name": "Gregory Reid", "city": "Clane"}, ...]

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12. get_registered_before_year(data, year)

🔍 Vazifa: Belgilangan yildan avval ro‘yxatdan o‘tgan userlarni chiqaring.

📥 Input: 2010 📤 Output: [{"name": "Doeke Krikke", "registered": "2004-06-29"}, ...]

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