14. What is lambda in Python? Why is it used? Lambda functions are also referred to as a “single-line function.” Here are a few characteristics of a lambda function: It is also known as anoynymous / nameless functions Function definition is stored within a variable A function call is ...
Indentation is required in Python. It designates a code block. An indented block contains all of the code for loops, classes, functions, and so on. The most common method is to use four space characters. If your code is not indented properly, it will not run correctly and will generate ...
Python provides type() and isinstance() functions to check the type of these variables. These data types can be grouped into the following categories- None Type:None keyword represents the null values in Python. Boolean equality operation can be performed using these NoneType objects. Class Name...
Below is a set of 25 questions for the Certified Entry-Level Python Programmer (PCEP) examination focusing on the subtopic "default parameter values." The questions use various formats, including single- and multiple-select questions, fill-in-the-gap, code fill, code insertion, sorting, and mor...
To keep things simple for you, you should just know that lambda functions are anonymous functions that are constructed at runtime. Considering that that piece of code can just serve as an indication for you, you can just ignore it and focus on x*x. You see that this function takes one ...
organized, and reusable codes to perform single, and related events. Functions are important to create better modularity for applications that reuse a high degree of coding. Python has a number of built-in functions like print(). However, it also allows you to create user-defined functions. ...
42. How do you handle circular imports in Python? Answer: Circular imports occur when two modules depend on each other. Solutions include restructuring code to reduce interdependencies or using dynamic imports within functions. 43. What are Python’s descriptors?
Here’s a graphical illustration of these functions: 28. How do you split a DataFrame according to a Boolean criterion? To split a DataFrame according to a Boolean criterion in Pandas, you use conditional filtering to create two separate DataFrames based on the criterion. Here’s a step-by...
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...
1) Is there a way to get PyCharm to run the currently open file? If I last ran file1.py, then open file2.py, PyCharm won't automatically run file2.py - I either have to right click on file2.py from the project tab on the right, which shows all the files, and click run...