Historical forex data is crucial for identifying trends, assessing past performance, and making informed predictions in currency markets. Visualizing this data enhances analysis by clearly displaying price movements and patterns, aiding in better decision-making for traders and analysts. This tutorial will guide you through retrieving historical currency data using the TraderMade API and visualizing it in a candlestick chart format with Plotly. Candlestick charts are popular in financial analysis because they provide a clear view of price movements, including open, high, low, and close prices for a specific period. We will use the EUR/USD currency pair data over a specified ... Read More

The data structures are essential components in computer science and software engineering. Among the most commonly used are stacks and trees both of which play a crucial role in the different algorithms and systems. Though both stack and tree are non-primitive data structures they serve different purposes and operate on distinct principles. This article will explore the key differences between the stack and a tree, their structures, operations, use cases and examples. What is a Stack? A stack is a linear data structure that follows the Last In, First Out (LIFO) principle. This means that the last element added to ... Read More

The mirror of a matrix across a diagonal means swapping the elements at position[i, j] with the elements at position[j, i].  Problem statement You are given a 2-D matrix in Python in the form of a nested List, and you need to find the transpose, that is, the mirror is that matrix across the diagonal. Example Input: matrix = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] Output: [[1, 4, 7], [2, 5, 8], [3, 6, 9]] Mirror of a Matrix Using Nested for Loop In this approach, we will use ... Read More

Ever wonder how data processing companies manage huge datasets effectively? Partitioning is a key method employed in this. We'll explore the idea of partitioning in PySpark in this blog article with a particular emphasis on partitioning using a list by several columns. We'll break down the process step-by-step so that even a beginner can understand it.IntroductionIn today's world of big data efficiently processing and managing large datasets is critical. An effective solution for managing such jobs is Apache Spark, and more especially PySpark (the Python API for Spark). "Partitioning" is one of the best strategies to maximize PySpark's query speed ... Read More

The S&P 500 index represents the benchmark performance of the 500 largest public companies in the US. It is very important to extract the fundamental data from these companies for investors, analysts, and researchers. Python is a great language through which one can extract and then analyze such information with the help of its extensive libraries. The following post shows how to extract the fundamental data of the S&P 500 index with the assistance of Python. Why Extract Fundamental Data? Fundamental data involves the core financial information such as earnings, revenues, dividends, and other measures normally used to determine the ... Read More

Converting a KivyMD App into an AndroidAPK KivyMD is an ultra-popular framework, an extension of another well-known framework called Kivy, that provides lots of tools and widgets to make modern and beautiful UIs for Android, iOS, and Linux. If you are creating an application with KivyMD and want it to be installed on Android devices, then this conversion must be done. This tutorial will help you convert a KivyMD app into an Android APK. Requirements Have the following tools and software ready before you begin. Python: It is written in Python, so you would have to install the same ... Read More

Using Python Programming to solve PDV work problems In cases of closed systems which are also called as systems where the identity of mass does not change, the system interacts with its surroundings either in terms of heat or work. In this article, we will be dealing with the non-dissipative work interaction which is also known as the PDV or displacement work. We will be using Python programming to solve these problems. But before we start, one should know the fundamental meaning of displacement work. The displacement work is evaluated as the integral of the path the system has taken ... Read More

The Python winsound module is a simple way to play audio files on a Windows machine using Python. It has a straightforward interface that allows you to play sound files and MIDI files, and control MIDI devices with just a few lines of code. The winsound module is part of the Python standard library, so you don't need to install it separately. While it has some limitations such as only supporting a limited number of audio file formats, it can be a useful tool for simple audio tasks in Python. In this tutorial, we'll explore the features and ... Read More

A choropleth map is a map that displays data on geographic regions using different colors or shades to represent values. The data is usually represented as a color scale, with darker colors indicating higher values and lighter colors indicating lower values. Choropleth maps are useful for visualizing data on a map, such as demographic data, election results, or economic indicators. Plotly is a Python data visualization library that allows users to create interactive plots and charts. It offers a range of features for creating custom visualizations, including line charts, scatterplots, bar charts, and choropleth maps. Plotly is widely used ... Read More

An important aspect of creating accurate simulations is the ability to choose elements from a list with different probabilities. For example, in a simulation of a crowd, certain actions may be more likely to occur than others, or in a simulation of a physical system, particles may move with different probabilities in different directions Python provides several ways to choose elements from a list with different probabilities. In this tutorial, we'll explore the different techniques for doing so, using the built-in random module and the NumPy module. Choosing Elements from a List with Equal Probability Let's first discuss ... Read More