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Merge pull request #8 from wateraccounting/new-language
update AR and FR notebooks, readme
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# دفاتر Jupyter لـ "إنتاجية المياه ومحاسبة المياه باستخدام برنامج WaPOR" التدريبي المفتوح | ||
! [] (http://www.fao.org/typo3temp/pics/93f49ce381.jpg) | ||
## [شاهد الدورة الكاملة على IHE Delft OpenCourseWare] (https://ocw.un-ihe.org/course/view.php؟id=92§ion=0) | ||
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المؤلفون: بيش تران ، أبيبي شكلا ، سليمان سيوم | ||
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<html> | ||
<head> | ||
<a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"> <img alt = "ترخيص المشاع الإبداعي" style = "border-width: 0" src = "https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /> </a> <br /> هذا العمل مرخص بموجب <a rel = "License" href = "http://creativecommons.org/licenses/by-nc-sa/4.0/"> المشاع الإبداعي Attribution-NonCommercial-ShareAlike 4.0 International License </a> | ||
</head> | ||
</html> | ||
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## محتويات | ||
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### الوحدة 1: المقدمة والاستخدام | ||
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- الوحدة الرابعة لتحليل البيانات المكانية WaPOR باستخدام حزم Python | ||
* تنزيل بيانات WaPOR النقطية | ||
* مقطع وإعادة أخذ العينات | ||
* حساب النقطية | ||
- الوحدة 5 WaPOR API | ||
* احصل على فهرس وجدول البيانات المتاحة | ||
* احصل على نقطة ومنطقة زمنية متسلسلة | ||
* احصل على خطوط المسح والمحاصيل النقطية | ||
* احصل على بيانات نقطية مخصصة لإنتاجية المياه | ||
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### إعداد بيئة Python | ||
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** يجب عليك القيام بذلك في المرة الأولى التي تفتح فيها Jupyter Notebooks ** | ||
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** الخطوة 1 **: قم بتنزيل ملف zipfile الخاص بالمستودع وفك ضغطه | ||
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أو | ||
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يجب تثبيت Clone in Git Bash ([Git] (https://git-scm.com/)) | ||
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>>> git clone https://github.com/wateraccounting/WAPOROCW.git | ||
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** الخطوة 2 **: افتح موجه Anaconda ، وقم بتغيير الدليل إلى مجلد **..\WAPOROCW-master** | ||
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>>> cd ..PATH..\WAPOROCW-master\ | ||
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** الخطوة 3 **: أنشئ بيئة جديدة من ملف environment.yml | ||
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>>> conda env create | ||
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! [] (./create_env.PNG) | ||
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### بدء Jupyter Notebook | ||
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** الخطوة 1 **: تغيير الدليل إلى مجلد **..\WAPOROCW-master\notebooks_AR** | ||
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>>> cd ..PATH..\WAPOROCW-master\notebooks_AR | ||
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** الخطوة 2 **: ثم تفعيل البيئة بالباقات المطلوبة | ||
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>>> conda activate waporocw | ||
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** الخطوة 3 **: ابدأ دفتر jupyter | ||
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>>> jupyter notebook | ||
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![](./activate_env.PNG) |
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