1. 解释性 2. 动态特性 3. 面向对象 4. 语法简洁 5. 开源 6. 丰富的社区资源 实际上 Python 的优点远不止这些，更详细的介绍可以阅读 Introduction to Python（ https://data-flair.training/blogs/python-tutorial/）Q.2. 深拷贝和浅拷贝的区别是什么？深拷贝是将对象本身复制给另一个对象。这...
map函数会根据提供的函数对指定序列做映射。其中第一个参数 function 以参数序列中的每一个元素调用 function 函数,返回包含每次 function 函数返回值的新列表。 Q86、python numpy比列表更好吗? 我们使用python numpy数组而不是列表,原因如下:减少内存使用、快速且方便。 Q87、如何在NumPy数组中获得N个最大值的索引?
An iterator is an object that can be iterated (looped) upon, while a generator is a special type of iterator that is defined using a function. What is the use of ‘yield’ keyword in Python? The ‘yield’ keyword in Python is used in the body of a function like a return statement,...
散列函数(英语:Hash function)又称散列算法、哈希函数,是一种从任何一种数据中创建小的数字“指纹”的方法。散列函数把消息或数据压缩成摘要,使得数据量变小,将数据的格式固定下来。该函数将数据打乱混合,重新创建一个叫做散列值(hash values,hash codes,hash sums,或hashes)的指纹。散列值通常用一个短的随机字母...
The contact() function is used to concatenate two dataframes. Q22. What is the process of managing memory in Python? This is one of the most important Python interview questions asked in technical interviews. In Python, memory is managed through the Private Heap Space. Data structures and obje...
Use *args when we aren't sure how many arguments are going to be passed to a function, or if we want to pass a stored list or tuple of arguments to a function. **kwargs is used when we dont know how many keyword arguments will be passed to a function, or it can be used to ...
A function in Python is a block of reusable code that performs a specific task. In Python, functions are defined using the “def” keyword, followed by the function name, and a set of parentheses that may include parameters. The function body is indented and contains the code that performs...
print('Im a function')func#=> function __main__.func>func() #=> Im a function func是...
Python interview questions and answers: Dive into the world of functional programming in Python. Learn about lambda functions, map, filter, reduce functions, and list comprehensions.
Python interview questions and answers: Learn about writing unit tests using the unittest framework and adopting a Test Driven Development (TDD) approach in Python. Understand the importance of testing, assertions, mocking, code coverage, and TDD's benef