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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 28 760 名订阅者，在 技术与应用 类别中位列第 4 783，并在 印度 地区排名第 15 157 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 28 760 名订阅者。
根据 08 六月, 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 59，过去 24 小时变化为 -11，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 0.57%。内容发布后 24 小时内通常能获得 0.81% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 163 次浏览，首日通常累积 234 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 1。
- 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 09 六月, 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。
28 760
订阅者
-1124 小时
+217 天
+5930 天
帖子存档
28 762
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
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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
False28 762
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.
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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
True28 762
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.
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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)28 762
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>28 762
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]28 762
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
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
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:
