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Python Interviews

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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šŸ“ˆ Analytical overview of Telegram channel Python Interviews

Channel Python Interviews (@pythoninterviews) in the English language segment is an active participant. Currently, the community unites 28 854 subscribers, ranking 4 620 in the Technologies & Applications category and 14 448 in the India region.

šŸ“Š Audience metrics and dynamics

Since its creation on невіГомо, the project has demonstrated rapid growth, gathering an audience of 28 854 subscribers.

According to the latest data from 30 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 102 over the last 30 days and by 2 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.55%. Within the first 24 hours after publication, content typically collects 0.66% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 735 views. Within the first day, a publication typically gains 191 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as |--, link:-, learning, sql, analytic.

šŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
ā€œJoin 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: @coderfunā€

Thanks to the high frequency of updates (latest data received on 31 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

28 854
Subscribers
+224 hours
+367 days
+10230 days
Posts Archive
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.

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]

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.

MAP FUNCTION SYNTAX map(fun, iter)

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.)

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.

LAMBDA EXPRESSION SYNTAX lambda arguments : expression

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.

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

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

**KWARGS EXAMPLE 1 :
**KWARGS EXAMPLE 1 :

**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:

*ARGS EXAMPLE :
*ARGS EXAMPLE :

*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:

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

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

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.

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.

RECURSION Python also accepts function recursion, which means a defined function can call itself. Recursion is a common mathe
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.

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.