Prática de Shadowing: Google Colab for Python Beginners - Visually Explained - Aprenda a falar inglês com vídeo

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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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Vocabulário e dicas de fala para esta lição

Esta aula de conversação usa o vídeo “Google Colab for Python Beginners - Visually Explained”. As palavras que mais se repetem: cell, text, code, python, notebook. Este vídeo tem 92 frases e 1079 palavras para praticar shadowing. A fala dura 7:12. O falante fala em ritmo natural, cerca de 150 palavras por minuto, próximo de uma conversa do dia a dia. 87% das palavras estão entre as 3.000 mais comuns do inglês, por isso o vocabulário é fácil de acompanhar.

Vocabulário principal deste vídeo

15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:

Palavra	Pronúncia	Significado
calculation substantivo	/ˌkælkjuˈleɪʃn̩/	cálculo
notebook substantivo	/ˈnoʊtˌbʊk/	caderno
output substantivo	/ˈaʊtpʊt/	produção
complicated adjetivo	/ˈkɑm.plɪˌkeɪ.tɪd/	complicado
format substantivo	/ˈfɔːɹ.mæt/	formato
confirm verbo	/kənˈfɝm/	firmar
experiment substantivo	/ɪkˈspɛɹ.ə.mənt/	experimento, experiência
edit verbo	/ˈɛdɪt/	editar
keyboard substantivo	/ˈki.bɔɹd/	teclado
preview substantivo	/ˈpɹiːvjuː/	prévia
ignore verbo	/ɪɡˈnɔː/	ignorar
curious adjetivo	/ˈkjʊɹ.i.əs/	curioso
select verbo	/sɪˈlɛkt/	escolher, selecionar
successfully advérbio	/səkˈsɛs.fə.li/	com sucesso
ideal adjetivo	/aɪˈdi(ə)l/	ideal

Phrasal verbs que você vai ouvir

Palavra	Significado
check out verbo	verificar, sacar só
finish up verbo	finalizar, terminar
wrap up verbo	embrulhar, empacotar

Frases que vale a pena repetir

Frases curtas e completas do vídeo que você pode usar na conversa do dia a dia:

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.

Gramática neste vídeo

As estruturas que o falante mais usa, com as palavras exatas do vídeo:

Estrutura	No vídeo
Present perfect have/has + particípio passado — uma ação passada que ainda importa agora	Have you ever wanted · We've now written · we've gone
Voz passiva be + particípio passado — o foco está no que acontece, não em quem faz	is called · isn't displayed · is automatically saved
Possibilidade com “might / may” might/may + verbo — algo possível, mas não certo	might want · might end
Futuro com “will” will + verbo — uma decisão, promessa ou previsão	you'll learn · we'll type · we'll write

Pronúncia para ficar de olho

O falante usa 19 contrações e formas reduzidas, como we'll, we're, didn't. Diga-as na forma curta, do jeito que você ouve.

Os sons de “sh” e “zh”: calculation /ˌkælkjuˈleɪʃn̩/, trash /tɹæʃ/, hashtag /ˈhæʃˌtæɡ/, quotation /kwoʊˈteɪʃn̩/, shortcut /ˈʃɔːtkʌt/
Palavras longas — acerte a sílaba tônica: complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, successfully /səkˈsɛs.fə.li/, independently /ˌɪndɪˈpɛndəntli/, parenthesis /pəˈɹɛn.θə.sɪs/

Sons difíceis para falantes de português:

Consoante final — sem acrescentar um “i” depois: notebook /ˈnoʊtˌbʊk/, output /ˈaʊtpʊt/, complicated /ˈkɑm.plɪˌkeɪ.tɪd/, format /ˈfɔːɹ.mæt/, experiment /ɪkˈspɛɹ.ə.mənt/
/l/ final — a língua toca o céu da boca, não vira “u”: ideal /aɪˈdi(ə)l/, symbol /ˈsɪmbəl/, install /ɪnˈstɔl/
/h/ — um sopro suave, diferente do “r”: helpful /ˈhɛlp.fl̩/, hashtag /ˈhæʃˌtæɡ/, hover /ˈhɒvə/

Como praticar com este vídeo

Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
Grave a sua voz e compare com o original, prestando atenção a palavras como calculation, notebook, output.

O que é a Técnica de Shadowing?

Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.

Técnica de shadowing: leia o guia completo passo a passo →

Prática de Shadowing: Google Colab for Python Beginners - Visually Explained - Aprenda a falar inglês com vídeo

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