تدريب Shadowing: Google Colab for Python Beginners - Visually Explained - تعلم التحدث بالإنجليزية عبر الفيديو

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Have you ever wanted to learn

هل سبق لك أن أردت أن تتعلم

Python but always felt like it was complicated and you didn't know where to start?

لغة بايثون لكنك شعرت دائمًا أنها معقدة ولم تكن تعرف من أين تبدأ؟

Here's the good news, you don't have to install or configure anything.

إليك الخبر السار، أنت لست مضطرًا لتثبيت أو ضبط أي شيء.

Stay with us and in the next 90 seconds you'll learn how to write and run your first line of Python code.

We can do that thanks to Google Colab.

It is a free tool that lets you write and run

Python code directly in your browser

so let's jump in to get started we open our browser

and make sure we're signed into our google account then we'll type google colab in the search bar

and choose colab in the search results once the page loads at the bottom left of the window

we click new notebook perfect now we have our first python notebook ready to use see this empty box

This is called a code cell, and it's where we'll write our first line of Python code.

Let's start simply by telling

Python to display on screen the text, hello world.

We tell Python to display text by writing print followed by a set of parentheses.

Inside the parentheses, we write the text we want to print between quotation marks.

Awesome.

We've now written our first line of Python code.

the next step is to tell python to run the code to do

that we click the play button on the left side of the cell nice

we can see from the green check next to the cell

and the output that our code ran successfully

and very quickly in under 90 seconds

we've gone from python feels complicated to actually coding now this is pretty basic stuff

but it's the first step in your python journey.

There's so much more we can do.

For example, let's see how to use

Python to do some calculations for us.

We'll start by clearing our cell.

Notice that when we do this, the cell output doesn't change.

To update the cell output, we need to run the cell again.

Great, now we have a clean slate let's

now do a simple calculation say five plus three running the cell python performs the calculation

and displays eight notice that here we didn't use print

and python still outputs the answer that's because colab automatically shows the results of the last line in a cell

to see what we mean let's add another calculation above our current one say two plus three

Running the cell, we only see eight, the result of the last line.

The first calculation still runs, but its result isn't displayed.

To see both results, we need to print them.

Now, when we run the cell, both results appear.

Awesome.

To keep experimenting, let's add more cells.

When we hover at the bottom or top of a cell, a few buttons appear.

Clicking plus code adds a brand new code cell that's ready for more code.

Let's try a different calculation this time, 12 times 7.

Running the cell gives us 84.

Each cell works independently, which means we can edit and rerun them whenever we want.

This makes it really easy to experiment and try different things.

But as we add more cells to our notebook, we might want to leave ourselves some notes about what our code does.

To do this, we can add a different type of cell to the notebook, a text cell.

Inside the text cell, we can leave ourselves a note or explain our code.

They also allow us to format our text using something called markdown.

These asterisks are markdown formatting.

The text cells shows the raw text and markdown on the left, and then previews what it will look like on the right.

You don't need to know markdown to use text cells, but if you're curious about it, we left a link to learn more in the description.

When we select close on the text cell, we see what was in the preview before.

to edit this text cell we simply double click it and change the text to something new

awesome now we know how to work with both code

and text cells

but the current organization of our notebook where the text cell follows the calculations is not ideal

it would make more sense if the text cell was above the calculations to move this cell above our two calculation cells,

we can click the arrow on the upper right of the cell and move it to the top.

Looks better!

But as useful as text cells are, sometimes we also might want to add notes inside of our code cells.

We can do this with code comments.

To write a comment, we start with the hashtag symbol.

Then we can write any text we want.

When we run this cell, Python will ignore the comment.

It's just for us.

To confirm this, let's add our super secret calculation code below it and run the cell.

Great, we only get the result of the calculation.

Comments are helpful for reminding us of our code's purpose when we come back to it.

Awesome, now as we work, we might end up with cells we no longer need.

Let's see how to remove them.

We can delete a cell by clicking on it, and then clicking the trash icon in the top right corner of the cell. And poof!

The cell is gone!

Great!

Now that we're comfortable running, adding, and removing cells, we're almost done building our first notebook.

To finish up, let's give the notebook a useful name, like Calculations Practice.

Great, this notebook is automatically saved in Google Drive.

We can confirm this by clicking

File, Locate, and Drive.

We are then taken to a new tab where this notebook is saved in our drive.

Perfect, before we wrap up, let's head back to our notebook to learn a handy shortcut.

To run a cell, instead of clicking the play button, we can press

Shift plus Enter on our keyboard.

this runs the cell and automatically moves us to the next one really useful

when working through a notebook to see what other shortcuts colab offers we can go to tools

and keyboard shortcuts there are lots of options here feel free to explore

and customize them how you'd like

if you'd like to practice what you've learned in this video check out the notebook

we created it has a few exercises to get you started.

تنزيل التطبيق

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تقييم النطق بالذكاء الاصطناعيتقييم كل جملة

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المفردات وملاحظات التحدث لهذا الدرس

هذا الدرس في المحادثة مبني على الفيديو “Google Colab for Python Beginners - Visually Explained”. أكثر الكلمات تكرارًا في الفيديو: cell, text, code, python, notebook. يحتوي هذا الفيديو على 92 جملة و1079 كلمة للتدرب على الترديد. مدة الكلام 7:12. يتكلم المتحدث بسرعة طبيعية، نحو 150 كلمة في الدقيقة، قريبة من المحادثة اليومية. 87% من الكلمات ضمن أكثر 3,000 كلمة شيوعًا في الإنجليزية، فالمفردات سهلة المتابعة.

أهم المفردات في هذا الفيديو

15 كلمة من الفيديو تستحق التعلّم، مع النطق والمعنى:

الكلمة	النطق	المعنى
calculation اسم	/ˌkælkjuˈleɪʃn̩/	حَسْب, مُحَاسَبَة
notebook اسم	/ˈnoʊtˌbʊk/	دَفْتَر, مُذَكِّرَة
output اسم	/ˈaʊtpʊt/	مُخرَج
complicated صفة	/ˈkɑm.plɪˌkeɪ.tɪd/	مُعَقَّد, مُرَكَّب
confirm فعل	/kənˈfɝm/	أَكَّدَ, أَثْبَتَ
experiment اسم	/ɪkˈspɛɹ.ə.mənt/	تَجْرِبَة, اِخْتِبَار
edit فعل	/ˈɛdɪt/	حَرَّرَ, عَدَّلَ
keyboard اسم	/ˈki.bɔɹd/	لَوْحَةُ مَفَاتِيح
ignore فعل	/ɪɡˈnɔː/	تَجَاهَلَ, طَنَّش
curious صفة	/ˈkjʊɹ.i.əs/	فُضُولِيّ
select فعل	/sɪˈlɛkt/	اِخْتَارَ
successfully ظرف	/səkˈsɛs.fə.li/	بِنَجَاحٍ
ideal صفة	/aɪˈdi(ə)l/	مِثَالِيّ
helpful صفة	/ˈhɛlp.fl̩/	نَافِع, مُفِيد
trash اسم	/tɹæʃ/	زُبَالَة, نُفَايَات

جمل تستحق التكرار

جمل قصيرة وكاملة من الفيديو يمكنك استخدامها في الحديث اليومي:

There's so much more we can do.
We'll start by clearing our cell.
To keep experimenting, let's add more cells.
Let's see how to remove them.

القواعد في هذا الفيديو

أكثر التراكيب التي يستخدمها المتحدث، مع العبارات نفسها من الفيديو:

التركيب	في الفيديو
المضارع التام have/has + اسم المفعول — حدث ماضٍ ما زال له أثر الآن	Have you ever wanted · We've now written · we've gone
المبني للمجهول be + اسم المفعول — التركيز على ما يحدث لا على من يفعله	is called · isn't displayed · is automatically saved
الاحتمال بـ “might / may” might/may + فعل — شيء ممكن لكنه غير مؤكد	might want · might end
المستقبل بـ “will” will + فعل — قرار أو وعد أو توقع	you'll learn · we'll type · we'll write

نطق يحتاج إلى انتباه

يستخدم المتحدث 19 من الصيغ المختصرة، مثل we'll, we're, didn't. انطقها بصيغتها القصيرة كما تسمعها.

أصوات “sh” و“zh”: calculation /ˌkælkjuˈleɪʃn̩/, trash /tɹæʃ/, hashtag /ˈhæʃˌtæɡ/, quotation /kwoʊˈteɪʃn̩/, shortcut /ˈʃɔːtkʌt/
الكلمات الطويلة — انتبه لموضع النبر: complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, successfully /səkˈsɛs.fə.li/, independently /ˌɪndɪˈpɛndəntli/, parenthesis /pəˈɹɛn.θə.sɪs/

أصوات يجدها متحدثو العربية صعبة:

/p/ — ليس /b/: انطقه مع نفخة هواء: output /ˈaʊtpʊt/, complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, preview /ˈpɹiːvjuː/, helpful /ˈhɛlp.fl̩/
/v/ — ليس /f/: مع اهتزاز الأوتار الصوتية: preview /ˈpɹiːvjuː/, hover /ˈhɒvə/
تتابع الصوامت — لا تضف حركة بينها: calculation /ˌkælkjuˈleɪʃn̩/, complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, keyboard /ˈki.bɔɹd/, preview /ˈpɹiːvjuː/

كيف تتدرب بهذا الفيديو

استمع إلى الفيديو كاملًا مرة واحدة دون أن تتكلم، ودوّن الكلمات التي لا تعرفها.
ابدأ بسرعة 0.75×، وردّد جملة جملة، ثم عُد إلى السرعة العادية عندما يصبح الأمر سهلًا.
سجّل صوتك وقارنه بالأصل، مع الانتباه إلى كلمات مثل calculation, notebook, output.

ما هي تقنية التظليل الصوتي؟

التظليل الصوتي (Shadowing) تقنية تعلم لغة مدعومة علمياً، طُورت أصلاً لتدريب المترجمين الفوريين المحترفين. الطريقة بسيطة لكنها قوية: تستمع لصوت إنجليزي أصلي وتكرره فوراً بصوت عالٍ — كظل يتبع المتحدث بتأخير 1-2 ثانية. تُظهر الأبحاث تحسناً كبيراً في دقة النطق والتنغيم والإيقاع وربط الأصوات والاستماع والطلاقة.

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تدريب Shadowing: Google Colab for Python Beginners - Visually Explained - تعلم التحدث بالإنجليزية عبر الفيديو

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