Server Side Programming Articles - Page 2601 of 2650

As you may know a string is a group of letters, numbers, or symbols in Python. Sometimes we do not need the whole string. We may only want a small part of it. For example, we may want only the first 100 characters. Python makes this easy by using something called slicing. Slicing means taking a part of the string. We use square brackets [] with numbers inside to do this. It is a very useful and simple way to get the part of a string that we need. In this article, we will show you how to get ... Read More

A list is a data structure in Python that is a mutable or changeable ordered sequence of elements. A list's items are any elements or values that are contained within it. Lists are defined by having values inside square brackets [], just as strings are defined by characters inside quotations. They are used to store multiple items in a single variable. In Python, strings are among the most widely used types. We can create them simply by enclosing characters in quotes. Python treats single quotes the same as double quotes. Creating strings is as simple as assigning a value to ... Read More

In Python, a list is an ordered sequence that can hold several object types, such as integers, characters, or floats. In other programming languages, a list is equivalent to an array. Square brackets [] are used to denote it, and a comma (, ) is used to divide two items in the list. In this article, we will show you how to get a comma-separated string from a list using Python. Comma-Separated String using join() ... Read More

In programming, it is very common to work with lists, which are collections of items. But sometimes, you may want to turn a list into a single string. So in this chapter, we will show you how you can do this in Python. We will use some simple explanations and examples to make this easy, so you can understand it very well. Understanding Lists So first, we need to understand what exactly a list is in Python. So, in simple terms, we can say it is a way to store multiple values. For example, you can have a list of ... Read More

Complex numbers is the combination of both real and imaginary components. Sometimes they are written as a + bi, where - a is the real part or number, b is the imaginary part, i is the imaginary unit which is basically a square root of -1. The imaginary part is written as the letter i. It is basically a square root of -1. Python already has support for complex numbers so it is easy to use them. So in this article, we will explain the basic ideas of complex numbers in Python, like how to create them, ... Read More

Assuming that MySQL database named as test is present on server and a table named employee is also created. The table has five fields fname, lname, age, gender, and salary.A tuple object containing data of a record is defined ast1=('Mac', 'Mohan', 20, 'M', 2000)To establish interface between MySQL  and Python 3, you need to install PyMySQL module. Then you can set up the connection using following statementsimport PyMySQL # Open database connection db = PyMySQL.connect("localhost", "root", "", "test" ) # prepare a cursor object using cursor() method cursor = db.cursor()Next step is to set up the insert query using data ... Read More

In Python, a Tuple is an ordered and immutable collection of elements, and tuples are created using parentheses. In this article, we are going to explore all the different ways to use a tuple within a tuple. Tuple within a Tuple in Python A tuple can contain elements of any data type, such as another tuple. When one tuple is placed inside another tuple, it is called a nested tuple or a tuple within a tuple. Following is the syntax of creating a Tuple in Python - outer_tuple = (value1, value2, (nested_value1, nested_value2), value3) Note: We can access ... Read More

A Dictionary is a set of key-value pairs, and each key in a Dictionary is separated from its value by a colon ":"; the items are separated by commas. They do not allow duplicate values. Since the 3.7 Python update, dictionaries are ordered. The correct syntax to create a Python Dictionary is to store values in the form of key-value pairs within the curly braces "{ }". On the left of the colon, we store keys, and on the right, values. The keys should be unique (within one dictionary), and we need to separate the items using commas. Basic ... Read More

In Python, a list is a built-in data structure that is used to store a sequence of items. Lists are mutable, i.e., the elements can be changed after the list is created. Syntax to create a Python List The correct syntax to create a Python List is using square brackets "[ ]". We need to specify the elements in the list by separating them with commas. Here is the basic syntax to create a list in Python - my_list = [item1, item2, item3, ...] Example: List of Integers A list of integers in Python is a sequence of whole numbers ... Read More

A Nested dictionary is a dictionary inside another dictionary. In Python, we have the function len() to count elements in a Nested Dictionary. With that, we can also use a function that recursively calls and calculates the elements in an arbitrary depth of the nested dictionary. Non-Recursive Count in Nested Dictionary A non-recursive count in a nested dictionary means counting only the keys at the top level, without going into any nested dictionaries inside it. Here is an example of counting the elements in a nested python dictionary- # Define a nested dictionary nested_dict = { ... Read More