쉐도잉 연습: Google Colab for Python Beginners - Visually Explained - 영상으로 영어 말하기 배우기

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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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이 레슨의 어휘와 말하기 포인트

이 말하기 레슨은 영상 “Google Colab for Python Beginners - Visually Explained”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: cell, text, code, python, notebook. 이 영상에는 섀도잉할 문장 92개와 단어 1079개가 있습니다. 말하는 구간의 길이는 7:12입니다. 화자는 분당 약 150단어로, 일상 대화에 가까운 자연스러운 속도로 말합니다. 단어의 87%가 영어에서 가장 많이 쓰이는 3,000단어에 속해 어휘가 쉬운 편입니다.

이 영상의 핵심 어휘

영상에 나오는 익혀 둘 만한 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
calculation 명사	/ˌkælkjuˈleɪʃn̩/	계산
notebook 명사	/ˈnoʊtˌbʊk/	공책, 노트
output 명사	/ˈaʊtpʊt/	출력
complicated 형용사	/ˈkɑm.plɪˌkeɪ.tɪd/	복잡하다
format 명사	/ˈfɔːɹ.mæt/	포맷
confirm 동사	/kənˈfɝm/	확인하다
experiment 명사	/ɪkˈspɛɹ.ə.mənt/	실험
edit 동사	/ˈɛdɪt/	편집하다
keyboard 명사	/ˈki.bɔɹd/	자판, 키보드
ignore 동사	/ɪɡˈnɔː/	무시하다
curious 형용사	/ˈkjʊɹ.i.əs/	호기심이 많은, 궁금하다
select 동사	/sɪˈlɛkt/	고르다
ideal 형용사	/aɪˈdi(ə)l/	이상적, 리상적
trash 명사	/tɹæʃ/	쓰레기, 오물
remind 동사	/ɹəˈmaɪnd/	생각나게 하다, 상기(想起)시키다

영상에 나오는 구동사

단어	뜻
wrap up 동사	시마이치다

따라 말해 볼 만한 문장

영상에 나오는 짧고 완결된 문장으로, 일상 대화에서 그대로 쓸 수 있습니다:

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.

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	Have you ever wanted · We've now written · we've gone
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	is called · isn't displayed · is automatically saved
“might / may” 가능성 might/may + 동사 — 가능하지만 확실하지 않은 일	might want · might end
“will” 미래 will + 동사 — 결정, 약속 또는 예측	you'll learn · we'll type · we'll write

주의할 발음

화자는 we'll, we're, didn't 같은 축약형과 약화된 형태를 19번 사용합니다. 들리는 대로 짧게 발음하세요.

“sh”와 “zh” 소리: calculation /ˌkælkjuˈleɪʃn̩/, trash /tɹæʃ/, hashtag /ˈhæʃˌtæɡ/, quotation /kwoʊˈteɪʃn̩/, shortcut /ˈʃɔːtkʌt/
긴 단어 — 강세 위치에 주의: complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, successfully /səkˈsɛs.fə.li/, independently /ˌɪndɪˈpɛndəntli/, parenthesis /pəˈɹɛn.θə.sɪs/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: format /ˈfɔːɹ.mæt/, confirm /kənˈfɝm/, successfully /səkˈsɛs.fə.li/, helpful /ˈhɛlp.fl̩/, configure /kənˈfɪɡə(ɹ)/
/v/ — ㅂ(/b/)과 구별하기: preview /ˈpɹiːvjuː/, hover /ˈhɒvə/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: browser /ˈbɹaʊ.zəɹ/, customize /ˈkʌs.tə.maɪ̯z/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, calculation, notebook, output 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

섀도잉 방법: 단계별 전체 가이드 읽기 →

쉐도잉 연습: Google Colab for Python Beginners - Visually Explained - 영상으로 영어 말하기 배우기

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