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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 28 854 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 4 620-o'rinni va Hindiston mintaqasida 14 448-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 28 854 obunachiga ega bo‘ldi.

30 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 102 ga, so‘nggi 24 soatda esa 2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.55% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.66% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 735 marta ko‘riladi; birinchi sutkada odatda 191 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 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 31 Iyul, 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.

28 854
Obunachilar
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+10230 kunlar
Postlar arxiv
Data Types in Python | Python for Beginners

Variables in Python | Python for Beginners

Installing Jupyter Notebooks/Anaconda | Python for Beginners

Applied Machine Learning (2023).pdf116.41 MB

Practical Computer Architecture with Python and ARM (2023).pdf12.26 MB

FILTER FUNCTION The filter() method filters the given sequence with the help of a function that tests each element in the sequence to be true or not. data = [1,2,3,4,5,5,6,6,7,9,10] var = list(filter(lambda x : x%2==0 , data)) print(var) Output : [2, 4, 6, 6, 10]

MIN FUNCTION This function is used to compute the minimum of the values passed in its argument and lexicographically smallest value if strings are passed as arguments. a = [4,328,38,62] print("The Maximum Value Is : ",min(a)) Output : 4

MAX FUNCTION This function is used to compute the maximum of the values passed in its argument and lexicographically largest value if strings are passed as arguments. a = [4,328,38,62] print("The Maximum Value Is : ",max(a)) Output : The Maximum Value Is : 328

REDUCE FUNCTION EXAMPLE : from functools import reduce li = [5, 9, 12, 22, 40, 95] sum = reduce((lambda x, y: x + y), li) print(sum) Output : 183

WORKING OF REDUCE FUNCTION At first step, first two elements of sequence are picked and the result is obtained. Next step is to apply the same function to the previously attained result and the number just succeeding the second element and the result is again stored. This process continues till no more elements are left in the container. The final returned result is returned and printed on console.

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 .)