ch
Feedback
Python Interviews

Python Interviews

前往频道在 Telegram

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

显示更多

📈 Telegram 频道 Python Interviews 的分析概览

频道 Python Interviews (@pythoninterviews) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 28 854 名订阅者,在 技术与应用 类别中位列第 4 620,并在 印度 地区排名第 14 448

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 28 854 名订阅者。

根据 30 七月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 102,过去 24 小时变化为 2,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 2.55%。内容发布后 24 小时内通常能获得 0.66% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 735 次浏览,首日通常累积 191 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2
  • 主题关注点: 内容集中在 |--, link:-, learning, sql, analytic 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
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

凭借高频更新(最新数据采集于 31 七月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

28 854
订阅者
+224 小时
+367
+10230
帖子存档
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 .)