शैडोइंग अभ्यास: Google Colab for Python Beginners - Visually Explained - वीडियो के साथ अंग्रेजी बोलना सीखें

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92 वाक्य

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Have you ever wanted to learn

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

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

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.

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इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “Google Colab for Python Beginners - Visually Explained” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: cell, text, code, python, notebook। इस वीडियो में शैडोइंग के लिए 92 वाक्य और 1079 शब्द हैं। बोला गया हिस्सा 7:12 लंबा है। वक्ता लगभग 150 शब्द प्रति मिनट की स्वाभाविक गति से बोलता है, जो रोज़मर्रा की बातचीत के करीब है। 87% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली आसान है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
calculation संज्ञा	/ˌkælkjuˈleɪʃn̩/	गणना, परिकलन
notebook संज्ञा	/ˈnoʊtˌbʊk/	नोटबुक, कापी
complicated विशेषण	/ˈkɑm.plɪˌkeɪ.tɪd/	जटिल, पेचीदा
confirm क्रिया	/kənˈfɝm/	पुष्टि करना
experiment संज्ञा	/ɪkˈspɛɹ.ə.mənt/	प्रयोग, तजुर्बा
edit क्रिया	/ˈɛdɪt/	संपादन करना
keyboard संज्ञा	/ˈki.bɔɹd/	कीबोर्ड, कुंजीपटल
preview संज्ञा	/ˈpɹiːvjuː/	झलक, प्रस्तुतीकरण
ignore क्रिया	/ɪɡˈnɔː/	उपेक्षा, उपेक्षा करना
curious विशेषण	/ˈkjʊɹ.i.əs/	उत्सुक, जिज्ञासु
select क्रिया	/sɪˈlɛkt/	चुनना, चयन करना
ideal विशेषण	/aɪˈdi(ə)l/	आदर्श, श्रेष्ठ
helpful विशेषण	/ˈhɛlp.fl̩/	मददगार
trash संज्ञा	/tɹæʃ/	कूड़ा
remind क्रिया	/ɹəˈmaɪnd/	याद दिलाना

दोहराने लायक वाक्य

वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:

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.

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	Have you ever wanted · We've now written · we've gone
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	is called · isn't displayed · is automatically saved
“might / may” से संभावना might/may + क्रिया — जो हो सकता है पर पक्का नहीं	might want · might end
“will” से भविष्य will + क्रिया — फ़ैसला, वादा या अनुमान	you'll learn · we'll type · we'll write

ध्यान देने योग्य उच्चारण

वक्ता 19 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे we'll, we're, didn't। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“sh” और “zh” की ध्वनियाँ: calculation /ˌkælkjuˈleɪʃn̩/, trash /tɹæʃ/, hashtag /ˈhæʃˌtæɡ/, quotation /kwoʊˈteɪʃn̩/, shortcut /ˈʃɔːtkʌt/
लंबे शब्द — बलाघात सही रखें: complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, successfully /səkˈsɛs.fə.li/, independently /ˌɪndɪˈpɛndəntli/, parenthesis /pəˈɹɛn.θə.sɪs/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: preview /ˈpɹiːvjuː/, quotation /kwoʊˈteɪʃn̩/, hover /ˈhɒvə/
/z/ — इसे “ज” (/dʒ/) न बनाएँ: browser /ˈbɹaʊ.zəɹ/, customize /ˈkʌs.tə.maɪ̯z/
/æ/ — “ऐ” से ज़्यादा खुला: calculation /ˌkælkjuˈleɪʃn̩/, format /ˈfɔːɹ.mæt/, trash /tɹæʃ/, wrap /ɹæp/, arrow /ˈæɹəʊ/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर calculation, notebook, complicated जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: Google Colab for Python Beginners - Visually Explained - वीडियो के साथ अंग्रेजी बोलना सीखें

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