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LCD (Liquid Crystal Displays) are used in a variety of electronic devices like TVs, computer monitors, digital watches, multi meters, automobile appliances, etc. LCD displays generally come with two different types of display panels namely, Vertical Alignment (VA) Panel and In-Phase Switching (IPS) Panels. In this article, we will explore all the major differences between IPS panel and VA panel. But before that let’s have a look into the basics of IPS panel and VA panel individually. What is IPS Panel? In context of display panels, IPS stands for In-Phase Switching. IPS panel is a type of display panel used ... Read More
Bluetooth is a technology used for data transfer between electronic devices wirelessly. It is a short distance data communication medium, allowing exchange of data and information without the need of cables. Bluetooth technology uses radio waves for wireless data communication. It follows the master-slave architecture, i.e. one device works as a master device (sender) and another device works as a slave device (receiver). Today, Bluetooth technology is being used in a wide range of applications like data transfer, audio streaming over speakers, headphones, etc., hands free calling, connecting peripherals like mouse, keyboard, etc. Bluetooth technology has evolved over the time, ... Read More
Analyzing the frequency of unique values within a NumPy array is a common task in data analysis. It provides valuable insights into the distribution and occurrence of elements, enabling effective data exploration and preprocessing. In this article, we will explore various methods to count the frequency of unique values in NumPy arrays. By leveraging built−in NumPy functions and external libraries such as pandas and collections, we will guide you through step−by−step implementations of these techniques. Through this comprehensive guide, you will gain the necessary knowledge to accurately analyze and extract meaningful information from your NumPy arrays. Method 1: Using the ... Read More
Python has become one of the most popular programming languages for data analysis and manipulation, thanks to its rich libraries and frameworks. Among these libraries, Pandas stands out as one of the most valuable and powerful tools for data processing. With Pandas, you can easily load, transform, and analyze data in a wide variety of formats. In this tutorial, we will explore converting a wide data frame to a tidy data frame using the Pandas stack() function. Converting a wide data frame to a tidy one is an essential step in many data analysis workflows, as it allows for easier ... Read More
Introduction Many companies have been in the market for only 2 to 3 decades, however they are giants that are beyond competition. This superior power is given to them by our digital infrastructure. These are the start-ups or companies that were able to understand how data and the digital world are going to change the future. Data and digital technology have not only changed the business world but have entirely revolutionized the lives of customers. Companies that can adapt themselves in time as per the needs of the customer and the technology are the superpowers of today. Netflix is one ... Read More
Introduction Data is the fuel that keeps businesses running today. Technology helps businesses capture umpteen amounts of data every minute via satellite, smartphones, television, and other necessary devices for today’s survival. All this data that businesses are capturing today has a story to tell. Machine learning and artificial intelligence help businesses find the points of similarities and dissimilarities in the data and its patterns; now it is in the hands of humans to read the data. Create stories that this data wants to tell and convey to fellow humans so that businesses can make use of the data and its ... Read More
Introduction Companies can only survive with data or analytics. Big data is the new driver in the business era. Hence, it has become critical for all businesses as well as all the departments in businesses to use data to predict the future, understand the past, and then take corrective actions that will be the most beneficial to the companies. Human Resources Analytics, Workforce Analytics, and People Analytics are similar terms with new additions to their scope of work. In this article, we will be diving deep into the trends in workforce analytics in 2023 and how businesses can equip themselves ... Read More
Python is one of the most popular programming languages for data analysis and manipulation, and for good reason. With its intuitive syntax and rich ecosystem of libraries, Python provides a powerful platform for working with data. One such library is Pandas, a highly versatile tool for data manipulation and analysis. Pandas allow us to easily manipulate and transform data in a variety of ways, making it an essential part of any data analyst or scientist's toolkit. In this tutorial, we'll be focusing on one specific problem that often arises in data analysis: converting string data to integer data in Pandas ... Read More
Python is a powerful and versatile programming language that is widely used for data analysis, machine learning, and other scientific applications. One of the reasons for its popularity is the availability of several powerful libraries and frameworks that make data manipulation and analysis a breeze. Among these, Pandas is a popular library for working with tabular data in Python. In this tutorial, we will explore how to convert SQL query results to Pandas Dataframe using pypyodbc. If you're working with data in Python, you're likely to encounter situations where you need to extract data from a SQL database and manipulate ... Read More
Python is a versatile and powerful programming language that has gained immense popularity among developers for its simplicity and readability. With its extensive range of libraries and intuitive syntax, Python has become a go-to choice for various applications, including data analysis, web development, and automation. One of the notable advantages of Python is its ability to handle different data types efficiently. In this tutorial, we will explore the concept of signed and unsigned integers in Python and discuss why there might be a need to convert between the two. We will walk you through various methods that can be employed ... Read More