#python

Boolean nechta turi bor va ular qaysi data type da bo`ladi ???

#python

Python da list lar bilan ishlayotgan vaqtda pop va remove ni qanday farqi bor ???

set da bor elementlar bular arcgsi proda ham bor shu nom bilan ishlatiladigan tools ni ko`p marotaba ishlatganmiz lekin dasturlashni o`rganishdi boshlagandan so`ng mohiyatini yaxshiroq tushunsa bo`lar ekan ( bu mani shaxsiy fikrim )

# Muchal aniqlovchi eng sodda dastur (Pythonda)

print("==== MUCHAL ANIQLASH DASTURI ====\n")

yil = int(input("Tug'ilgan yilingizni kiriting: "))

Muchallar = [
"Sichqon", "Sigir", "Yo'lbars", "Quyon", "Ajdarho",
"Ilon", "Ot", "Qo'y", "Maymun", "Tovuq", "It", "To'ng'iz"
]

index = (yil - 2008)%12

print("\nSizning muchalingiz:", Muchallar[index])

📊 Sug‘orish tizimlari bo‘yicha interaktiv dashboard

🛣 Ariqlar – umumiy infratuzilma holati
🚰 Kanallar – asosiy suv yo‘llari ma’lumotlari
🌊 Suv omborlari va ko‘llar – suv resurslari statistikasi
🕳 Kollektorlar – drenaj tarmoqlari bo‘yicha ko‘rsatkichlar
🌧 Daryolar va soylar – suv oqimlari monitoringi

🧪 Tuproq tahlili
🔹 Azot
🔹 Fosfor
🔹 Kaliy
🔹 Gumus
(📈 halqa diagramma ko‘rinishida)

🗺 Viloyatlar xaritasi
📍 Hududlar bo‘yicha rangli tasnif

🔧 Nasoslar soni
📊 Hududlar kesimidagi ustun diagramma

👉🏻@gisonline_uz

🌋 Satellite Insights | Sakurajima Eruption & Coastal Aquaculture Risks

On November 16, 2025, Japan’s Sakurajima volcano erupted, spewing ash up to 4,400 meters into the sky. Within six days, high-resolution satellite imagery captured by STAR.VISION revealed significant changes in the eruption’s activity.

🌫 From Ash Explosion to Persistent Gas Emissions

The latest satellite imagery shows the eruption plume shifting from dense black ash to lighter gray steam and volcanic gases. Instead of rising vertically, the plume now drifts gently northeast, signaling a transition from the eruption’s explosive phase to a prolonged degassing phase. Despite the calmer visual, ongoing emissions confirm active magma beneath the surface, underscoring Japan's decision to maintain access restrictions around the crater.

🌊 Micro-Insight A: AI-Powered Asset Monitoring for Marine Aquaculture

Zooming in on Kinko Bay, Japan, satellite imagery shows a high-density aquaculture zone. STAR.VISION's on-orbit AI technology identified and counted over 1,000 aquaculture cages — a valuable asset at risk.

Key Insights:
● High-value assets at risk: Millions of dollars in aquaculture infrastructure lie just beneath the active volcano’s shadow.
● Environmental monitoring: Satellite spectral analysis detects early signs of turbidity or algal blooms, helping prevent potential damage to marine life.
● Insurance support: AI-driven before/after image comparison enables precise loss assessments, streamlining parametric insurance claims.

🧱 Micro-Insight B: Engineering Defenses in Volcanic Terrain

On closer inspection of the volcanic slopes, satellite imagery reveals sophisticated infrastructure designed to mitigate volcanic hazards:
● Check dams: Step-wise dams intercept debris flows to prevent downstream damage.
● Hillside diversion structures: These stabilize ash-covered slopes, channeling rainfall to reduce landslide risks.
Regular satellite monitoring helps assess the sediment build-up in these structures, ensuring their continued effectiveness in safeguarding nearby communities.

🧑‍🌾 Resilience Amidst Active Volcanoes

Despite ongoing volcanic activity, the nearby communities continue to thrive. Sakurajima, with its main crater only 8 km from Kagoshima City, remains one of the world’s most active volcanoes. Satellite imagery demonstrates the resilience of communities coexisting with natural hazards — a clear example of how AI and satellite data can support disaster monitoring and risk management in real-time.

Source link : https://www.linkedin.com/feed/update/urn:li:groupPost:14492316-7401476653308444673?utm_medium=ios_app&rcm=ACoAAEF2uRMBs4n1zra-au2CwtHhgYuGw3x0p-o&utm_source=social_share_send&utm_campaign=copy_link

🌋 Sputnik Kuzatuvlari | Sakurajima Otilishi va Qirg‘oq Akvakulturasi Xavflari

2025-yil 16-noyabr kuni Yaponiyaning Sakurajima vulqoni otilib, osmon sari 4 400 metr balandlikda kul ustunini purkadi. Olti kun o‘tib, STAR.VISION tomonidan olingan yuqori aniqlikdagi sun’iy yo‘ldosh tasvirlari vulqon faolligidagi sezilarli o‘zgarishlarni ko‘rsatdi.

🌫 Qora Kuldon Otilishidan Doimiy Gaz Ajralishigacha

Eng so‘nggi sun’iy yo‘ldosh rasmlarida portlash vaqtida kuzatilgan quyuq qora kul o‘rnini ochroq kulrang bug‘ va vulqon gazlari egallagani ko‘rinadi. Endi ustun vertikal ko‘tarilmayapti, balki shimol-sharqqa tomon asta siljimoqda. Bu esa otilishning portlovchi bosqichidan uzoq davom etuvchi gaz ajralish bosqichiga o‘tganini ko‘rsatadi. Vizual tinchlikka qaramay, davom etayotgan emissiyalar yer ostida magma harakati davom etayotganini tasdiqlaydi — shu bois Yaponiya krater atrofidagi kirish cheklovlarini saqlab qolmoqda.

🌊 Mikro-Insight A: Dengiz Akvakulturasini AI Asosida Monitoring Qilish

Yaponiya, Kinko ko‘rfaziga yaqinlashtirilgan sun’iy yo‘ldosh rasmlarida yuqori zichlikdagi akvakultura hududi ko‘rinadi. STAR.VISION’ning orbitadagi AI texnologiyasi 1 000 dan ortiq akvakultura qutilarini aniqladi va sanab chiqdi — bu katta xavf ostidagi aktivlar hisoblanadi.

Asosiy xulosalar:
● Xavf ostidagi qimmat aktivlar: Ko‘rfazdagi millionlab dollarlik akvakultura infratuzilmalari faol vulqon soyasida joylashgan.
● Atrof-muhit monitoringi: Sun’iy yo‘ldosh spektral tahlili suv loyqaligi yoki suv gulchambarlari (algal bloom)ning dastlabki belgilarini aniqlab, dengiz hayotini himoya qilishga yordam beradi.
● Sug‘urta qo‘llab-quvvatlashi: AI asosidagi oldin/ keyin tasvirlarini solishtirish aniq zarar bahosini ta’minlab, parametrik sug‘urta da’volarini soddalashtiradi.

🧱 Mikro-Insight B: Vulqon Hududidagi Muhandislik Himoya Inshootlari

Vulqon yonbag‘irlarining yaqin tasvirlarida quyidagi rivojlangan himoya infratuzilmalari ko‘rinadi:
● Tekshiruv (check) to‘g‘onlari: Bu bosqichma-bosqich qurilgan to‘g‘onlar oqiziqlar oqimini ushlab qolib, pastki hududlarni himoya qiladi.
● Yonbag‘ir yo‘naltirish inshootlari: Ushbu tuzilmalar kul bilan qoplangan yonbag‘irlarni barqarorlashtiradi va yog‘ingarchilik suvini xavfsiz yo‘naltirib, ko‘chki xavfini kamaytiradi.
Doimiy sun’iy yo‘ldosh kuzatuvi ushbu strukturalarda cho‘kindi to‘planishini baholashga yordam beradi va ularning samaradorligini ta’minlaydi.

🧑‍🌾 Faol Vulqonlar Bag‘rida Barqaror Hayot

Vulqon faolligiga qaramay, yaqin atrofdagi jamoalar hayotini davom ettirmoqda. Sakurajima — Kagoshima shahridan atigi 8 km uzoqlikda joylashgan — dunyoning eng faol vulqonlaridan biri bo‘lib qolmoqda. Sun’iy yo‘ldosh tasvirlari tabiiy xavflar bilan yonma-yon yashayotgan jamoalarning barqarorligini namoyish etadi — bu AI va sun’iy yo‘ldosh ma’lumotlari real vaqt rejimida ofat monitoringi va xavf boshqaruvini qanday qo‘llab-quvvatlashini yaqqol ko‘rsatadi.

Manba havolasi: https://www.linkedin.com/feed/update/urn:li:groupPost:14492316-7401476653308444673?utm_medium=ios_app&rcm=ACoAAEF2uRMBs4n1zra-au2CwtHhgYuGw3x0p-o&utm_source=social_share_send&utm_campaign=copy_link

📢 E’LON

📍 Yo‘nalish: Toshkent → Qashqadaryo viloyati, Qarshi shahri
🚌 Transport: Avtobus
🎟 Bilet soni: 1 dona
📅 Sana: 25-dekabr
⏰ Jo‘nash vaqti: 20:30
📌 Jo‘nash joyi: Toshkent
💸 narxi : 115 000 so'm

Qiziqqanlar murojaat qilishi mumkin. : @Davlatov_9959

📊 Asosiy ko‘rsatkichlar:
💧 Suv bosgan maydonlar (ga)
👥 Toshqindan ta’sirlangan aholi (nafar)
🏘 Zarar ko‘rgan tumanlar soni
🛣 Infratuzilmaga yetgan zarar

🗺 Interaktiv xarita:
📍 Suv bosgan hududlar vizualizatsiyasi
📡 Sentinel ma’lumotlari asosida tahlil
⏱️ Vaqt bo‘yicha o‘zgarishlarni kuzatish

📈 Tahliliy grafiklar:
🏞 Hududlar kesimida toshqinlar
🌊 Daryolar bo‘yicha suv sathi (gidropostlar)
⚠️ Xavf darajasi bo‘yicha taqsimot

🎯 Afzalliklar:
✅ Tezkor qaror qabul qilish
✅ Vizual va tushunarli dizayn
✅ Hududlar va sanalar bo‘yicha filtrlash

👉🏻gisonline_uz

🌎 Google Earth Engine bo'yicha video darslar ro'yxati

1. Google Earth Engine bilan tanishuv bilan tanishuv

2. Google Earth Enginde Code Editor bilan tanishuv

3. Google Earth Engineda Shape faylni yuklash va undan foydalanish

4. Google Earth Engineda image (raster) fayl bilan ishlash


Google Earth Engine -SRTM bilan ishlash, Vizualizatsiya, Yuklab olish

Google Earth Engine vegetatsiya va suv maydonlarini aniqlash

Google Earth Engine Ob-havo ma’lumotlari bilan ishlash

Google Earth Engineda Web App yaratish haqida

Darslarimiz maqul bo'lsa videolarga layk bosish va izoh yozish esdan chiqmasin

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