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Extensible Markup Language (XML) is a popular data exchange format used in many applications. It provides a standardised way of representing data that can be easily understood by both humans and machines. In many cases, it is necessary to convert data stored in Python lists to XML format for various purposes, such as data exchange or storage. In this article, we will explore different approaches for converting Python lists to XML format using Python's built−in libraries. Below are the two different approaches that we can use to convert Python lists to XML in points. Using ElementTree library Import ... Read More
In order to make sure that the data is accurate, trustworthy, and appropriate for the intended analysis, cleaning the data is a crucial step in any data analysis or data science endeavour. The data cleaning functions in Pyspark, like dropna, make it a potent tool for working with big datasets. The dropna function in Pyspark allows you to remove rows from a DataFrame that contain missing or null values. Missing or null values can occur in a DataFrame for various reasons, such as incomplete data, data entry errors, or inconsistent data formats. Removing these rows can help ensure the quality ... Read More
We know that Python is a programming language used for accomplishing various tasks in fields such as Data Analysis, AI, Machine Learning and so on. And obviously, there are different modules with special functions which help us to do the job. Similarly, Python code is made to interact with a PostgreSQL database using a module known as the “Psycopg2 module”. It is a popular PostgreSQL database adapter for Python. This module provides us with a set of functions and classes that help us with database connectivity, result handling as well as query execution. Key Features of ... Read More
As we know, Python is a language widely used for Data Science and Data Analytics. Alongside libraries such as NumPy and Pandas, Plotly is another such library to represent given data in charts and graphs of all sorts. Let’s learn more about this library! Why a whole library exists in Python just for the sake of Data Representation? Many might think of representing some data in a graph is simple, but that isn’t simple at all! For small amounts of data, it is a somewhat easy task to plot graphs manually. But when dealing with large amounts ... Read More
LAMP is one of the most widely used Open source technology stacks which is used in the development of web applications. In this combination, Linux acts as the operating system, while PHP is the server side programming language. MySQL or MariaDB acts as the database management system along with apache as web server. In this article, we’ll cover how to set up the LAMP stack with PhpMyAdmin on an Ubuntu 15.04 server. With the use of LAMP (Linux, Apache, MySQL/MariaDB, PHP) components, we can build interactive and engaging Web applications. Let's understand each component of the LAMP stack: Linux ... Read More
We know that NSE (National Stock Exchange of India Limited) is the leading stock exchange of India. It is situated in Mumbai, Maharashtra. It was established back in 1992 as the first ever dematerialized exchange of the country. As NSE contains data which can be used for further analysis, there is a library in Python which can help with just that. The library is known as 'nsetools' library. Uses of the NSE tools Module This library can be used in various projects which requires live updates of a certain index, stock or to create even ... Read More
What is Nextcloud? Nextcloud is a file−sharing platform which users can use to store, access and send data from any part of the world and from any device. Nextcloud was launched in 2016 as a part of ownCloud. Now it is one of the most popular cloud storage platforms. It is an open−source software which can be used for storing various kinds of files. Price Plans of Nextcloud There are three price plans of Nextcloud which can be found in the table below: Plan Price Basic €36 per user per year Standard €65 per ... Read More
A Hashtable is a powerful data structure in Java that allows programmers to store and organise data in key-value pairs. Many applications need retrieving and displaying entries from a Hashtable. In a Hashtable, any non-null object can serve as a key or a value. However, for successful storage and retrieval of items from the Hashtable, the objects used as keys must implement both the equals() method and the hashCode() method. These implementations ensure proper handling of key comparisons and hashing, enabling efficient management and retrieval of data within the Hashtable. Through the utilization of the keys() and elements() ... Read More
The ability to interact with databases is an important requirement for many software programs in this data-driven world. Java is a versatile and robust programming language that offers Java Database Connectivity (JDBC), an effective mechanism that enables smooth interaction with different database systems. JDBC is an API that offers a standardised interface for Java applications to communicate with databases. We can perform operations like querying, inserting, updating, and deleting data using it as a bridge between the Java application and the database. This article helps us to delve into the world of Java's JDBC API, enabling us ... Read More
Designing interactive user interfaces for Kivy apps by working with buttons in.kv files is simple and effective. Kivy, a Python framework for building cross-platform apps, uses the.kv file type to separate the visual appearance and functionality of buttons from the underlying code. The .kv file's declarative language is used to provide button properties like text, size, and event handlers, allowing developers to create straightforward, condensed, and manageable user interfaces. Without cluttering the Python code, developers may easily change the appearance and functionality of buttons by adding them straight to the.kv file. Covered Topics Python Kivy ... Read More