Python Interviews

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Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun

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📈 Análisis del canal de Telegram Python Interviews

El canal Python Interviews (@pythoninterviews) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 28 854 suscriptores, ocupando la posición 4 620 en la categoría Tecnologías y Aplicaciones y el puesto 14 448 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 28 854 suscriptores.

Según los últimos datos del 30 julio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 102, y en las últimas 24 horas de 2, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.55%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.66% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 735 visualizaciones. En el primer día suele acumular 191 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
Intereses temáticos: El contenido se centra en temas clave como |--, link:-, learning, sql, analytic.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Join this channel to learn python for web development, data science, artificial intelligence and machine learning with quizzes, projects and amazing resources for free For collaborations: @coderfun”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 31 julio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

28 854

Suscriptores

+224 horas

+367 días

+10230 días

735

Visitas de la publicación

~ 19124 horas

~ 22448 horas

2.55%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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ZIP FUNCTION The zip() function returns a zip object, which is an iterator of tuples where the first item in each passed iterator is paired together, and then the second item in each passed iterator are paired together etc. If the passed iterators have different lengths, the iterator with the least items decides the length of the new iterator.

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MAP FUNCTION EXAMPLE

def addition(n) : 
   return n + n 
numbers = (1, 2, 3, 4)        
result = map(addition, numbers) 
print(list(result))

Output [2, 4, 6, 8]

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fun : It is a function to which map passes each element of given iterable. iter : It is a iterable which is to be mapped. NOTE : You can pass one or more iterable to the map() function.

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MAP FUNCTION SYNTAX map(fun, iter)

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MAP FUNCTION map() function returns a map object(which is an iterator) of the results after applying the given function to each item of a given iterable (list, tuple etc.)

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WHY USE LAMBDA FUNCTION ? You should use the lambda function to create simple expressions. For example, expressions that do not include complex structures such as if-else, for-loops, and so on. So, for example, if you want to create a function with a for-loop, you should use a user-defined function.

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LAMBDA EXPRESSION SYNTAX lambda arguments : expression

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LAMBDA EXPRESSION A lambda function is a small anonymous function. A lambda function can take any number of arguments, but can only have one expression. argument(s) is a placeholder, that is a variable that will be used to hold the value you want to pass into the function expression. A lambda function can have multiple variables depending on what you want to achieve.

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**KWARGS EXAMPLE 2 : In this case, positional arguments are collected into a tuple args, and keyword arguments are collected into a dictionary kwargs

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You can also use both args and kwargs together in a function definition, like this:

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**KWARGS EXAMPLE 1 :

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**KWARGS kwargs is a dictionary of keyword arguments, which allows you to pass a variable number of keyword arguments to a function. The syntax for keyword arguments is name=value. For example:

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*ARGS EXAMPLE :

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*ARGS args is a tuple of positional arguments, which means that you can pass an arbitrary number of arguments to a function, and they will be collected into a tuple. For example:

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*ARGS AND **KWARGS IN PYTHON In Python, args and kwargs are used to pass a variable number of arguments to a function.

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RECURSION EXAMPLE This is a recursive function to find the factorial of an integer

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DISADVANTAGE OF RECURSION Sometimes the logic behind recursion is hard to follow through. Recursive calls are expensive (inefficient) as they take up a lot of memory and time. Recursive functions are hard to debug.

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ADVANTAGE OF RECURSION Recursive functions make the code look clean and elegant. A complex task can be broken down into simpler subproblems using recursion. Sequence generation is easier with recursion than using some nested iteration.

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RECURSION Python also accepts function recursion, which means a defined function can call itself. Recursion is a common mathematical and programming concept. It means that a function calls itself. This has the benefit of meaning that you can loop through data to reach a result.

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ARGUMENT OR PARAMETER ? The terms parameter and argument can be used for the same thing: information that are passed into a function. From a function's perspective : A parameter is the variable listed inside the parentheses in the function definition. An argument is the value that is sent to the function when it is called.