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Articles by Sarika Singh
Page 9 of 15
How to return a json object from a Python function?
In Python, you need to use the built-in json module to work with JSON data. When you want to return data from a function in JSON format, you can use the json.dumps() function to convert a Python dictionary (or similar object) into a JSON string. This is helpful when making APIs, sending data in web responses, or saving organized data in files. Using json.dumps() Function The json.dumps function is used to convert a Python object (like a dictionary or list) into a JSON-formatted string. Syntax Following is its basic syntax - json.dumps(python_object) Where python_object is usually a dictionary or list ...
Read MoreWrite down a python function to convert camel case to snake case?
Camel case and snake case are ways of writing words together when we are programming. In camel case, we write words together without spaces and we start each new word with a capital letter except for the first word. For example, if we want to write a variable name for someone's date of birth, we can write it like this: dateOfBirth. In snake case, we write words together with an underscore symbol between them, and all the letters are lowercase. For example, if we want to write a variable name for someone's home address, we can write it like this: ...
Read MoreHow to pass arguments by value in Python function?
In Python, when you pass arguments to a function, they are passed by object reference. This means the function gets a reference (or pointer) to the actual object, not a copy of it. However, how this reference affects the object depends on whether the object is mutable or immutable. Mutable objects (like lists, dictionaries, and sets) can be changed inside the function. If you modify a mutable object inside the function, the changes will affect the original object outside the function as well. Immutable objects (like numbers, strings, and tuples) cannot be changed. If you try to modify ...
Read MoreHow to pass optional parameters to a function in Python?
In Python, you can pass optional parameters to functions, allowing you to call a function with fewer arguments than specified. Optional parameters are useful for providing default values when certain arguments are not provided. Python provides different ways to define optional parameters, including default values, variable-length argument lists, and keyword arguments. Using Default Arguments One common way to pass optional parameters is by setting default values for the parameters in the function definition. If no argument is passed for those parameters during the function call, the default value is used. Example In the following example, the greet() function has an ...
Read MoreHow to produce documentation for Python functions?
In Python, documenting your functions is an important step that helps others understand what your code does, what inputs it expects, and what it returns. Python provides a built-in way to write documentation using docstrings. By producing good documentation, you can make your code more readable and usable in larger projects or by external users. Using Docstrings A docstring is a string that appears just after the definition of a function. It describes what the function does, its parameters, and its return value. You write it using triple quotes (""" or '''). Syntax Following is the syntax for writing a ...
Read MoreHow to catch a python exception in a list comprehension?
Before we understand how to catch a Python exception in a list comprehension, let us first learn what a list comprehension is.Python List Comprehension List comprehension is a statement that allows you to create a list and execute a for loop, all in a single sentence.This also allows the lists to be created from other iterables like tuples, strings, arrays, lists, and so on. The syntax of list comprehension is given below - List = [expression(element) for element in list if condition] The Python list and list comprehension capability, which may be used inside a single line of code ...
Read MoreHow to handle a python exception within a loop?
The looping technique in Python transforms complex problems into simple ones. It allows us to change the flow of the program so that instead of writing the same code over and over, we can repeat it a limited number of times until a certain condition is satisfied. For example, if we need to display the first ten natural numbers, we can do it inside a loop that runs up to ten iterations rather than using the print command ten times. Python offers three ways to loop a block of code in a program: using for loops, while loops and ...
Read MoreHow to call a function with argument list in Python?
The purpose of a function is to perform a specific task using code blocks. In programming, functions save time by eliminating unnecessary and excessive copying and pasting of code. Hence, a function will be of great use if there is a common action that needs to be performed in different places and often. The only thing you will need to do is update that specific function, if you want to make a change. As a result, you no longer have to copy and paste the same piece of code that is scattered throughout your program in order to find ...
Read MoreHow to ignore an exception and proceed in Python?
An exception is an unexpected error or event that occurs during the execution of program. The difference between an error and an exception in a program is that, when an exception is encountered, the program deflects from its original course of execution whereas when an error occurs, the program is terminated. Hence, unlike errors, an exception can be handled. Therefore, you won't have a program crash. However, in some cases of Python, the exception might not cause the program to terminate and will not affect the direction of execution hugely. Therefore, it is best to ignore such kind of exceptions. ...
Read MoreHow to print the Python Exception/Error Hierarchy?
We will learn about what an exception is before learning how to print Python exceptions. An exception occurs when a program fails to execute in the direction it was intended to be. Python throws exceptions when unexpected errors or events occur. It is common for exceptions to be both valid and invalid. Errors and exceptional conditions can be managed in a program through exceptions in a variety of ways. The exception handling technique can be used when you suspect your code may create an error. This can prevent the software from crashing. Following are some common Exceptions in Python - IOError ...
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