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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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Python Interviews (@pythoninterviews) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 28 762 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 796-o'rinni va Hindiston mintaqasida 15 162-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 28 762 obunachiga ega bo‘ldi.

08 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 59 ga, so‘nggi 24 soatda esa -11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 0.57% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.81% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 163 marta ko‘riladi; birinchi sutkada odatda 234 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent |--, link:-, learning, sql, analytic kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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

Yuqori yangilanish chastotasi (oxirgi ma’lumot 09 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

28 762
Obunachilar
-1124 soatlar
+217 kunlar
+5930 kunlar
Postlar arxiv
REDUCE FUNCTION The reduce(fun,seq) function is used to apply a particular function passed in its argument to all of the list elements mentioned in the sequence passed along.This function is defined in “functools” module

ALL FUNCTION EXAMPLE : list_1 = [2,4,6,8,10] # all even no list_2 = [2,5,1,6,7] # all not even no list_1check= all([num%2==0 for num in list_1]) list_2check= all([num%2==0 for num in list_2]) print(list_1check) print(list_2check) Output : True False

ALL FUNCTION SYNTAX : all(list of iterables)

ALL FUNCTION All Returns true if all of the items are True (or if the iterable is empty). All can be thought of as a sequence of AND operations on the provided iterables. It also short circuit the execution i.e. stop the execution as soon as the result is known.

ANY FUNCTION EXAMPLE : list_1 = [1,3,5,7,9] # all even no list_2 = [3,5,6,11,7] # all not even no list_1check= any([num%2==0 for num in list_1]) list_2check= any([num%2==0 for num in list_2]) print(list_1check) print(list_2check) Output: False True

ANY FUNCTION SYNTAX : any(list of iterables)

ANY FUNCTION Any Returns true if any of the items is True. It returns False if empty or all are false. Any can be thought of as a sequence of OR operations on the provided iterables. It short circuit the execution i.e. stop the execution as soon as the result is known.

ZIP FUNCTION EXAMPLE 2 list_1 = ['User','Age','Salary'] list_2 = ['Rushi',19,28000] Converting Zip into a List data_return = list(zip(list_1,list_2)) print(data_return)

ZIP FUNCTION EXAMPLE 1 list_1 = ['User','Age','Salary'] list_2 = ['Rushi',19,28000] data_return = zip(list_1,list_2) print(data_return) Output <zip object at 0x0000008C0C985080>

ZIP FUNCTION SYNTAX zip(iterator1, iterator2, iterator3 .)

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: