跟讀練習: Google Colab for Python Beginners - Visually Explained - 通過影片學習英語口語

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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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本課的詞彙與口語要點

這節口語課以影片“Google Colab for Python Beginners - Visually Explained”為素材。影片中反覆出現的詞有：cell, text, code, python, notebook。這段影片共有 92 個句子、1079 個單詞可供跟讀。講話部分時長為 7:12。說話人語速自然，每分鐘約 150 個詞，接近日常對話。 87% 的單詞屬於英語最常用的 3,000 詞，詞彙容易理解。

影片中的重點詞彙

影片中 15 個值得學習的單詞，附發音和釋義：

單詞	發音	釋義
calculation 名詞	/ˌkælkjuˈleɪʃn̩/	計算 /計算
notebook 名詞	/ˈnoʊtˌbʊk/	筆記本 /筆記本, 本子
output 名詞	/ˈaʊtpʊt/	輸出 /輸出
complicated 形容詞	/ˈkɑm.plɪˌkeɪ.tɪd/	複雜 /複雜
format 名詞	/ˈfɔːɹ.mæt/	格式, 開本 /開本
confirm 動詞	/kənˈfɝm/	證實 /證實, 確認 /確認
experiment 名詞	/ɪkˈspɛɹ.ə.mənt/	實驗 /實驗
edit 動詞	/ˈɛdɪt/	編輯 /編輯
keyboard 名詞	/ˈki.bɔɹd/	鍵盤 /鍵盤
ignore 動詞	/ɪɡˈnɔː/	無視 /無視, 忽略
curious 形容詞	/ˈkjʊɹ.i.əs/	好奇, 有好奇心
select 動詞	/sɪˈlɛkt/	選 /選, 挑選 /挑選
ideal 形容詞	/aɪˈdi(ə)l/	理想的
helpful 形容詞	/ˈhɛlp.fl̩/	有幫助 /有幫助
trash 名詞	/tɹæʃ/	垃圾, 廢物 /廢物

影片中出現的短語動詞

單詞	釋義
check out 動詞	退房

值得反覆跟讀的句子

影片中簡短而完整的句子，可以直接用在日常對話裡：

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.

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	Have you ever wanted · We've now written · we've gone
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	is called · isn't displayed · is automatically saved
用 “might / may” 表可能 might/may + 動詞 — 有可能但不確定的事	might want · might end
“will” 表將來 will + 動詞 — 決定、承諾或預測	you'll learn · we'll type · we'll write

需要注意的發音

說話人用了 19 次縮略和弱讀形式，例如 we'll, we're, didn't。請按聽到的簡短形式來說。

“sh” 和 “zh” 音: calculation /ˌkælkjuˈleɪʃn̩/, trash /tɹæʃ/, hashtag /ˈhæʃˌtæɡ/, quotation /kwoʊˈteɪʃn̩/, shortcut /ˈʃɔːtkʌt/
長單詞——注意重音位置: complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, successfully /səkˈsɛs.fə.li/, independently /ˌɪndɪˈpɛndəntli/, parenthesis /pəˈɹɛn.θə.sɪs/

中文母語者容易讀錯的音：

/v/ — 不要讀成 /w/，上齒輕觸下唇: preview /ˈpɹiːvjuː/, hover /ˈhɒvə/
詞尾子音 — 要讀清楚，後面不要加母音: notebook /ˈnoʊtˌbʊk/, output /ˈaʊtpʊt/, complicated /ˈkɑm.plɪˌkeɪ.tɪd/, format /ˈfɔːɹ.mæt/, experiment /ɪkˈspɛɹ.ə.mənt/
/æ/ — 嘴張大，不要讀成 /e/: calculation /ˌkælkjuˈleɪʃn̩/, format /ˈfɔːɹ.mæt/, trash /tɹæʃ/, wrap /ɹæp/, arrow /ˈæɹəʊ/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
錄下自己的聲音並與原聲對比，特別注意 calculation, notebook, output 這類單詞。

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: Google Colab for Python Beginners - Visually Explained - 通過影片學習英語口語

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