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You are a helpful chatbot that always answers in Uzbek.<|eot_id|><|start_header_id|>user<|end_header_id|>

Menga Pythonda vektorli ko'paytmani qanday qilish kerakligini tushuntirib bering, har bir qadamni tushuntirib bering.<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Python-da vektorli hosilni hisoblash uchun biz NumPy kutubxonasidan foydalanishimiz mumkin, u ikkita vektorning vektorli hosilini hisoblash uchun funksiya beradi. Bu yerda ikkita vektorning vektorli hosilini hisoblash uchun kod namunasidir: import numpy as np vector_1 = np.array[1, 2, 3]) vector_2 = np.array[4, 5, 6]) product_vectorial = np.cross(vector_1, vector_2) print(product_vectorial) Ushbu kodning natijasi quyidagicha bo'ladi:[-3, 6,3] -) Har bir qadamning batafsil tushuntirilishi: 1: NumPy kutubxonasini import qiling: Birinchidan, NumPy kutubxonasini quyidagi buyruq bilan import qilamiz: import numpy np as 2: Vektorlarni yarating: Keyin ikkita vektorni hosil qilamiz.<|eot_id|><|start_header_id|>user<|end_header_id|>

javobni markdown shaklida ko'rsatadi<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Python-da vektorli hosilni yaratish uchun biz NumPy kutubxonasidan foydalanishimiz mumkin, u ikkita vektorning vektorli hosilini hisoblash uchun funksiya beradi. Bu erda ikkita vektorning vektorli hosilini hisoblash uchun kod namunasidir: ``import numpy as np vector_1 = np.array (([1, 2, 3]) vector_2 = np.array (([4, 5, 6]) product_vectorial = np.cross (((vector_1, vector_2) print (((product_vectorial) ```) Ushbu kodning natijasi quyidagicha bo'ladi: ``imarray (([-3, 6, -3]) ```) Har bir qadamning batafsil tushuntirilishi: 1: NumPy kutubxonasini quyidagi buyruq bilan import qiling: ``import numpy as as ``): Ikkinchi vektor<|eot_id|>