Shadowing-Übung: List Comprehension || Python Tutorial || Learn Python Programming - Englisch Sprechen Lernen mit YouTube

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When coding, you spend a lot of time making lists.
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When coding, you spend a lot of time making lists.
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In many languages this can be tedious.
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Create an empty list, set up a for loop, then add the items to the list one by one.
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Python cares about your sanity and gives you a tool to simplify this process, list comprehensions.
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In most cases, list comprehensions let you construct a list in a single line of code.
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It's now time for Python to shine and save time with a single line.
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We will cover many examples of list comprehensions, but first, let's talk about them generally.
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In Python, lists are a collection of data surrounded by brackets, and the elements are separated by commas.
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A list comprehension is also surrounded by brackets, but instead of a list of data inside, you enter an expression followed by for loops and if clauses.
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Here is the most basic form for a list comprehension.
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The first expression generates the elements in the list, in the list, and you follow this with a for loop over some collection of data.
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This will evaluate the expression for every item in the collection.
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If you only want to include the expression for certain pieces of data, you can add on an if clause after the for loop.
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The expression will be added to the list only if the if clause is true.
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You can even have more than one if clause, and the expression is in the list only if all the if clauses are true.
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And you can even loop over more than one collection.
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Let's now see some examples.
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For our first example, let's create a list of the squares of the first 100 positive integers.
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Let's first do this without list comprehensions.
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To begin, you might create an empty list called squares.
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Next, you would loop over the first 100 positive integers.
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You would then append the square of i to the list squares.
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Don't forget that an exponent in Python is represented by double asterisks.
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Why, oh why, do they not use the intergalactic mathematical notation for exponents?
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To see that this works print the list squares Let's do this once more using list comprehensions.
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We will call the list comprehension squares 2
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Open with a bracket then first type the expression for each term in the list
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Finally enter the desired for loop
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if you print this you get the exact same list But we only needed one line of code instead of three
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Let's now look at a slightly more complex example.
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We'll create a list of remainders when you divide the first 100 squares by 5.
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To find the remainder when you divide by 5, use the % operator.
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In mathematics, this is the same as taking the square mod 5.
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If you print the list, you'll see there are only 3 perfect squares mod 5, 0, 1, and 4.
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Let's do this again but look at the remainders when you divide the squares by 11.
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We see the perfect squares mod 11 are 0, 1, 3, 4, 5, 9.
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This example shows you that the expressions in the list comprehension can be complex.
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By the way, if you look at the remainders when you divide by a prime number p, you'll notice an interesting pattern.
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The number of remainders is p plus 1 divided by 2.
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The problem of finding which numbers appear in the list is a complex puzzle from number theory known as quadratic reciprocity, and was first proved by Gauss.
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Next, let's create a list comprehension that has an if clause.
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Suppose we have a list of movies and we want to find those movies that start with the letter G.
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Let's see how to do this with and without list comprehensions.
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If you were not using list comprehensions, you'd start by making an empty list.
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Next, loop over the list of movies.
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We can use the starts with method to see if the title starts with the letter G.
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If it does, then append it to our list.
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Print the list to make sure that it worked.
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But this four-line routine can be done in a single line with a list comprehension.
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The expression we want to appear in our list is simply the title.
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Next, loop over the movies.
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But also, check that the title starts with the letter G.
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Print and observe.
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We get the same answer with a single line of code.
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Let's complicate this example a bit more.
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Suppose our list of movies is a list of tuples
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containing both the title of the movie and the year it was released.
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What if we want a list of the titles of all movies that were released before the year 2000?
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How would you do this using list comprehensions?
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As before, we want our list to only contain the titles, but this time, when we write the for loop, each element is a tuple.
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Next, we select the movies released before 2000 using an if clause on the year.
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If you print the list, you can see that it worked.
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In this example, the IF block used the year, but the year was not included in the list.
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Only the title is included.
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Let's see a mathematical example.
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Suppose you use a list to represent a vector.
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How would you perform scalar multiplication on this vector?
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That is, what if we want to multiply each number by 4?
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You might be tempted to try 4 times v, but look what happens.
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This is unusual.
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What happened here is 4 times v is the same as v plus v plus v plus v.
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And in Python, if you add two lists, it concatenates them, rather than adding them component-wise.
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For example, if you add 2, 4, 6 and 1, 3, you get the list 2, 4, 6, 1, 3.
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So 4 times v is just a list containing four copies of v.
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This is not what we want.
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We can achieve scalar multiplication with a list comprehension.
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Just make a list comprehension where you multiply each component by 4.
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If you print this vector, you can see we get the desired result.
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For our final example, let's use list comprehensions to compute the Cartesian product of sets.
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The Cartesian product is named after the French scholar René Descartes.
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Recall that if you have two sets A and B, then the Cartesian product is the set of pairs where the first component is in A
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and the second component is from B.
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You can write this mathematically like this.
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For example, if A is the set and B is the set , then the Cartesian product is the set of pairs .
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Let's use list comprehensions to compute the Cartesian product of two sets.
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Let A be the list of odd integers 1, 3, 5, and 7.
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Let B be the list of even integers .
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To compute the Cartesian product, create a list comprehension where each term is the tuple a, b.
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Next, write a for loop over the elements of a, and then a for loop over the elements of b.
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If you print the product, you can see the list contains all 16 possible pairs.
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Using this technique, you can even compute the Cartesian product of three or more sets.
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With list comprehensions, you can build complex lists using a single line of code.
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And with Socratica, you can learn complex topics in a single video.
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So please, append yourself to our list of subscribers.
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And if you are in a position to help financially, we would be honored to add you to our list of patrons.
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Now go forth and code compactly.
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Warum das Sprechen mit diesem Video üben?

Das Üben des Sprechens mit diesem Video bietet Ihnen die Möglichkeit, Schlüsselkonzepte von Python zu lernen und Ihre Sprachfähigkeit im Englischen gleichzeitig zu verbessern. Wenn Sie in einer realistischen Programmierumgebung sprechen, werden Sie nicht nur mit technischen Begriffen vertraut, sondern stärken auch Ihr Selbstbewusstsein im Englischen. Englisch sprechen üben mit solch spezifischen Inhalten hilft Ihnen, einen aktiven Wortschatz aufzubauen und die mündliche Ausdrucksweise zu verfeinern, während Sie lernen, Problemlösungsstrategien in Python zu formulieren.

Grammatik & Ausdrücke im Kontext

In der Diskussion über Listenverständnisse im Python-Kontext verwendet der Sprecher verschiedene grammatikalische Strukturen und Ausdrücke, die für Lernende wichtig sind:

  • Der Einsatz von Bedingungen: Der Sprecher erläutert, wie if-Klauseln verwendet werden, um bestimmte Elemente in eine Liste aufzunehmen. Diese Struktur ist essenziell für das Verständnis komplexer Sätze im Englischen.
  • Der Gebrauch von Schleifen: Der Satzbau von for loops kann Lernenden helfen, die Struktur von wiederholenden Aussagen zu verstehen, was sich auch auf das Sprechen auswirken kann.
  • Komplexe Ausdrücke: Der Sprecher erwähnt, dass man mehrere Bedingungen oder Sammlungen in einer kompakten Form kombinieren kann. Dies lehrt nicht nur Grammatik, sondern auch strategisches Denken im Englischen.

Gemeinsame Ausspracheschwierigkeiten

Beim Anhören des Videos könnten einige Wörter oder Ausdrücke Schwierigkeiten bei der Aussprache aufwerfen:

  • Comprehension: Das Wort könnte oft als "kom-pri-hen-sion" ausgesprochen werden, was nicht dem korrekten englischen Klang entspricht. Es sollte eher wie "kom-pri-menschen" klingen.
  • Loop: Dieses technische Wort hat eine spezifische Betonung, die leicht zu verwechseln ist. Üben Sie es, um den Klang korrekt zu erfassen.
  • Remainder: Die Aussprache kann herausfordernd sein, da die Silbenzahl leicht übersehen wird. Stellen Sie sicher, dass Sie jeder Silbe die richtige Betonung geben.

Durch das Englisch Shadowing dieser Inhalte, etwa durch shadowspeak, haben Sie eine hervorragende Gelegenheit, Ihre Sprechfähigkeiten in Verbindung mit fachspezifischem Vokabular zu verbessern. Nutzen Sie die Technik des shadow speak, um die genannten Ausdrücke fließend und präzise zu wiederholen.

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.