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Dictionaries in Python are versatile data structures that allow us to store and manipulate key-value pairs. While dictionaries maintain an unordered collection, there may be situations where we need to swap the positions of items within a dictionary. In this blog post, we will explore how to write a Python program to swap the positions of dictionary items. Understanding the Problem The task at hand is to develop a Python program that takes a dictionary as input and swaps the positions of its items. For example, given the dictionary my_dict = {'A': 1, 'B': 2, 'C': 3}, the program should ... Read More
List comprehension is a powerful feature in Python that allows for concise and expressive code when working with lists. It provides a compact way to perform operations on elements of a list and create new lists based on certain conditions. In this blog post, we will explore how to use list comprehension to square each odd number in a list. Understanding the Problem The task at hand is to write a Python program that takes a list of numbers as input and squares each odd number in the list. For example, given the list [1, 2, 3, 4, 5], the ... Read More
NumPy, which offers high-performance data manipulation and analysis capabilities, is the foundation for the Python package Pandas. It introduces the Series and DataFrame data structures. Any sort of data can be stored in a series, which is a one-dimensional labeled array. It is comparable to a column in a database table or spreadsheet. The Series object is labeled, which means each member has an associated index, making data access and manipulation quick and simple. Similar to a spreadsheet or a SQL table, a data frame is a two-dimensional tabular data structure made up of rows and columns. It is ... Read More
Developers can rapidly and simply design web apps using the high-level Python web framework Django. A complete collection of tools and libraries is provided for creating web applications, and it adheres to the Model-View-Controller (MVC) architectural paradigm. Why is Django used in Python? From modest personal endeavours to extensive commercial solutions, Django is used to create all kinds of web applications. The construction of intricate, data-driven websites, including the social networking sites such as instagram, e-commerce platforms, and content management systems, is where it excels. Numerous functions are available out of the box with Django, such as URL ... Read More
Splitting a string into smaller parts is a common task in many text processing and data analysis scenarios. In this blog post, we will explore how to write a Python program to split a given string into k-sized overlapping strings. This program can be helpful when working with sequences of data where overlapping segments are needed for analysis, feature extraction, or pattern recognition. Understanding the Problem Before diving into the implementation details, let's define the requirements of our program. We need to develop a Python solution that takes a string as input and splits it into k-sized overlapping strings. For ... Read More
In this article, we will explore how to split a string in Python using a given list of strings. We will dive into the step-by-step process of creating a Python program that can handle this task effectively. Whether you're dealing with text processing, data parsing, or any other scenario that involves manipulating strings, the ability to split a string based on a dynamic list of substrings can greatly simplify your code and enhance its flexibility. Approach and Algorithm To solve the problem of splitting a string by a given list of strings, we can follow a systematic approach that involves ... Read More
In Python 3, the input() function always returns a string, even if the user enters a number. To check if the user input is an integer, you can use a try-except block and attempt to convert the input string to an integer using the int() function. Here are some code examples that demonstrate different ways to check if raw input is an integer in Python 3: Using a try-except block Example In this example, we use a try-except block to attempt to convert the user's input to an integer using the int() function. If the user enters an integer, the ... Read More
Sorting of lists help us in solving sort huge amount data and various mathematical and logical problems in a very less time. We can find a particular element in a sorted list easily with the help of Fibonacci search method. Here, we will create a Fibonacci Search Visualiser using a PyQt5 module in Python. Example In this example, we have used a Fibonacci visualizer's user interface that consists of a window with a list of fibonacci numbers and display the result. The following PyQt5 widgets are used in this code: QListWidget QLineEdit QPushButton ... Read More
One of the most useful data structures in Pandas is the Pandas DataFrame which is a 2-Dimensional table-like structure that contains rows and columns to store data. It allows users to store and manipulate the data, very similar to a spreadsheet or SQL table. It also provides a serial or linear data structure which is called the 1-Dimensional labelled array that can hold elements of any data type. Shallow Copy A shallow copy, as the name suggests, creates a new DataFrame object that references the original data. In other words, a shallow copy points to the ... Read More
Symmetric encoding is a cryptographic technique, where the same key is used for both encryption and decryption of messages from client to server. In order to ensure no sensitive information is leaked while passing the network packets through vulnerable servers, where hackers may use this message for malicious intent, encrypting the message will be a good idea. There are some steps followed in symmetric encryption: Key generation: For both the client and server, in order to access the message, a secret key is generated first and sent to the receiver in order to decrypt ... Read More