Shadowing-Übung: Google Colab for Python Beginners - Visually Explained - Englisch Sprechen Lernen mit Video

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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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Wortschatz und Sprechhinweise zu dieser Lektion

Diese Sprechübung basiert auf dem Video „Google Colab for Python Beginners - Visually Explained“. Diese Wörter kommen am häufigsten vor: cell, text, code, python, notebook. Dieses Video enthält 92 Sätze und 1079 Wörter zum Nachsprechen. Der gesprochene Teil dauert 7:12. Der Sprecher spricht in natürlichem Tempo, etwa 150 Wörter pro Minute, ähnlich wie im Alltagsgespräch. 87 % der Wörter gehören zu den 3.000 häufigsten im Englischen, der Wortschatz ist also leicht zu verfolgen.

Wichtiger Wortschatz in diesem Video

15 lernenswerte Wörter aus dem Video, mit Aussprache und Bedeutung:

Wort	Aussprache	Bedeutung
calculation Substantiv	/ˌkælkjuˈleɪʃn̩/	Berechnung, Kalkulation
notebook Substantiv	/ˈnoʊtˌbʊk/	Notizbuch, Notizheft
output Substantiv	/ˈaʊtpʊt/	Output
complicated Adjektiv	/ˈkɑm.plɪˌkeɪ.tɪd/	kompliziert, umständlich
format Substantiv	/ˈfɔːɹ.mæt/	Format
confirm Verb	/kənˈfɝm/	bestätigen
experiment Substantiv	/ɪkˈspɛɹ.ə.mənt/	Experiment, Versuch
edit Verb	/ˈɛdɪt/	bearbeiten, redigieren
keyboard Substantiv	/ˈki.bɔɹd/	Tastatur
preview Substantiv	/ˈpɹiːvjuː/	Vorschau, Vorblick
ignore Verb	/ɪɡˈnɔː/	ignorieren, missachten
curious Adjektiv	/ˈkjʊɹ.i.əs/	neugierig
select Verb	/sɪˈlɛkt/	auswählen
successfully Adverb	/səkˈsɛs.fə.li/	erfolgreich
ideal Adjektiv	/aɪˈdi(ə)l/	ideal, bestmöglich

Phrasal Verbs, die du hören wirst

Wort	Bedeutung
check out Verb	überprüfen
wrap up Verb	verpacken, einpacken

Sätze zum Wiederholen

Kurze, vollständige Sätze aus dem Video, die du im Alltag wiederverwenden kannst:

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.

Grammatik in diesem Video

Die Strukturen, die der Sprecher am häufigsten verwendet, mit den genauen Worten aus dem Video:

Struktur	Im Video
Present Perfect have/has + Partizip Perfekt – eine vergangene Handlung, die jetzt noch wichtig ist	Have you ever wanted · We've now written · we've gone
Passiv be + Partizip Perfekt – wichtig ist, was geschieht, nicht wer es tut	is called · isn't displayed · is automatically saved
Möglichkeit mit „might / may“ might/may + Verb – etwas ist möglich, aber nicht sicher	might want · might end
Zukunft mit „will“ will + Verb – eine Entscheidung, ein Versprechen oder eine Vorhersage	you'll learn · we'll type · we'll write

Aussprache, auf die du achten solltest

Der Sprecher verwendet 19 Kurzformen und abgeschwächte Formen, zum Beispiel we'll, we're, didn't. Sprich sie in der kurzen Form, so wie du sie hörst.

Die Laute „sh“ und „zh“: calculation /ˌkælkjuˈleɪʃn̩/, trash /tɹæʃ/, hashtag /ˈhæʃˌtæɡ/, quotation /kwoʊˈteɪʃn̩/, shortcut /ˈʃɔːtkʌt/
Lange Wörter – auf die Betonung achten: complicated /ˈkɑm.plɪˌkeɪ.tɪd/, experiment /ɪkˈspɛɹ.ə.mənt/, successfully /səkˈsɛs.fə.li/, independently /ˌɪndɪˈpɛndəntli/, parenthesis /pəˈɹɛn.θə.sɪs/

Laute, die Deutschsprachigen schwerfallen:

Stimmhafter Auslaut — /b/, /d/, /g/, /z/, /v/ am Wortende nicht verhärten: complicated /ˈkɑm.plɪˌkeɪ.tɪd/, keyboard /ˈki.bɔɹd/, remind /ɹəˈmaɪnd/, hashtag /ˈhæʃˌtæɡ/, customize /ˈkʌs.tə.maɪ̯z/
/æ/ — offener als „ä“: calculation /ˌkælkjuˈleɪʃn̩/, format /ˈfɔːɹ.mæt/, trash /tɹæʃ/, wrap /ɹæp/, arrow /ˈæɹəʊ/

So übst du mit diesem Video

Höre dir das ganze Video einmal an, ohne zu sprechen, und notiere die Wörter, die du nicht kennst.
Beginne mit 0,75-facher Geschwindigkeit, sprich Satz für Satz nach und wechsle zur normalen Geschwindigkeit, sobald es leichtfällt.
Nimm dich auf und vergleiche mit dem Original; achte dabei auf Wörter wie calculation, notebook, output.

Was ist die Shadowing-Technik?

Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.

Shadowing-Technik: die vollständige Schritt-für-Schritt-Anleitung lesen →

Shadowing-Übung: Google Colab for Python Beginners - Visually Explained - Englisch Sprechen Lernen mit Video

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