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Create: 2024-12-17 Update: 2025-07-05 11:13:03

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✅کار با ابزار numpy در پایتون (1)

⏪اگر بخواهیم ببینید که چه ورژنی از این ابزار رو در سیستمتون نصب کردید با دستور زیر این کار امکان پذیر می باشد:

»> numpy.version.version
'1.8.1'

⏪روش دیگری برای import کردن نام پای وجود داره که ما میتونیم اسمش رو کوتاه کنیم،چون ما ممکنه تو برنامه مون چندین بار از پکیج های این ابزار استفاده کنیم هر چه اسم ابزار کوتاهتر باشه راحتتریم.خوب دستور زیر ابزار نام پای رو با نام np معرفی میکنه(انتخاب اسم دلخواه می باشد)

»> import numpy as np

⏪برای شروع کار با متدهای نام پای، ابتدا یک آرایه تعریف میکنیم.یک آرایه با اسم دلخواه a1 ایجاد میکنیم و از متد array به صورت زیر استفاده می کنیم.
داخل پرانتز باید آرایه را مشخص کنیم و ما همان اعداد فرد رو داخل کروشه قرار میدهیم.

»> a1 = np.array([1,3,5,7])
»> a1
array([1, 3, 5, 7])
»> print a1
[1 3 5 7]

توجه کنید که بعد از np وقتی نقطه رو قرار میدهیم با کمی صبر تمام توابع قابل استفاده توسط این ابزار نمایش داده میشه.(تصویری که ارسال میشه رو ببینید)

نکته : تفاوتی که معرفی آرایه با این ابزار وجود داره با زمانی که ما از طریق لیست در بخش قبل معرفی کردیم اینجاست که الان ما دقیقا یک آرایه داریم و با دستور type از نوع آرایه برگردونده میشه.

»> type(a1)
<type 'numpy.ndarray'>

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@pythonchallenge

چالش پایتون

»> numpy.version.version
'1.8.1'

»> import numpy as np

»> a1 = np.array([1,3,5,7])
»> a1
array([1, 3, 5, 7])
»> print a1
[1 3 5 7]

»> type(a1)
<type 'numpy.ndarray'>

➖➖➖➖➖➖➖➖
@pythonchallenge

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