Explain the difference between the int and float data types. Describe how Python handles integers and floating-point numbers, including precision and operations. What is the maximum and minimum value for an int, float, and string data type in Python? Explain the limits of data types on differen...
One advantage of an interpreted language like Python is that it can be run on any platform with a Python interpreter installed. This makes Python a very portable language and one that is widely used in a variety of different applications, including web development, data analysis, machine learning...
Python's dictionaries are kind of hash table type. They work like associative arrays or hashes found in Perl and consist of key-value pairs. A dictionary key can be almost any Python type, but are usually numbers or strings. Values, on the other hand, can be any arbitrary Python object....
Python interview questions from topFAANG+ companies are based on theoretical and practical knowledge. If you’re preparing for a technical interview and have decided to use Python as your programming language, these Python interview questions and answers will help you understand what to expect. If y...
What is monkey patching in Python? A: # code at m.pyclassMyClass:deff(self):print"f()" importmdefmonkey_f(self):print"monkey_f()"m.MyClass.f = monkey_f obj = m.MyClass() obj.f() output: monkey_f() conclusion: the term monkey patch only refers to dynamic modifications of a ...
Python has a unique style of indentation to define its code blocks, it is dynamically-typed, and it supports multiple programming paradigms such as object-oriented, functional, and procedural. What are the different types of data types in Python? Python has several built-in data types including...
Types of Data Science Questions 数据科学问题的类型有如下6种: 1.Descriptive描述性分析,仅仅描述数据展现了那些内容,无需任何解释 2.Exploratory探索性分析,发现未知的关系(不一定正确或有用) 3.Inferential推断性分析,在少量观察的基础上,将得到的信息进行归纳、外推到更大的群体。
Python has its flaws too: Python's interpreted nature imposes a speed penalty on it. While Python is great for a lot of things, it is weak in mobile computing, and in browsers. Being dynamically-typed, Python uses duck-typing (If it looks like a duck, it must be a duck). This can...
Here is a comprehensive compilation of Python interview questions and answers covering a wide range of topics. From basic syntax and data types to advanced concepts like object-oriented programming, data structures, and popular libraries, this resource offers a structured approach to help you prepare...
This chapter will focus on the functional aspects of Python. We'll start by defining functions with a variable amount of positional as well as keyword arguments. Next, we'll cover lambda functions and in which cases they can be helpful. Especially, we'll see how to use them with such fun...