In Python, we can run Javascript using the PyExecJS library or the js2py library of Python. The PyExecJs library provides a consistent API for running JavaScript code from within Python using a variety of JavaScript engines, including Node.js, JavaScriptCore, and Google's V8 engine. The js2py library allows you to execute JavaScript code from within Python by parsing the JavaScript code and interpreting it in Python. This article will teach us how to run javascript from Python using the PyExecJS library. Method 1: Using the PyExecJS library The PyExecJs library provides a simple interface for executing JavaScript code. It allows developers ... Read More

Pygal is a Python library that is used to create interactive, customizable charts and graphs. We can rotate the x-axis label using the x_label_rotation attribute in the Pygal module. The rotation of the x-axis label makes the chart easier to read and comprehend. In this article, we will discuss how to rotate the x-label using Pygal with an example. Algorithm A general algorithm for rotating the x label using pygal is given below − Import the Pygal module. Create a chart object (e.g., Bar, Line, Pie, etc.). Add data to the chart using the add method. Set the x-axis ... Read More

We can Rotate and scale an image in Pygame using pygame.transform.rotate and pygame.transform.scale function respectively of the Pygame module. The Function is used to rotate an image by a given angle in Degrees. The function takes two parameters - the image to rotate and the angle of rotation. In this article, we will use the pygame.transform.rotate and pygame.transform.scale function to rotate and scale the image respectively. Rotate an image in Pygame Algorithm Rotating an Image in Pygame − Import the pygame library. Initialize Pygame by calling pygame.init(). Set the screen size using pygame.display.set_mode(). Load the image to rotate ... Read More

Python provides various in-built methods to retrieve an entire row or column of an array. We can use the Slice notation method, Numpy Library, list comprehension, and for loop to retrieve the entire row or column of an array. In this article, we will explore all the methods with examples to retrieve the row or column of an array. Method 1: Using Slice Notation Using slice notation we extract a subset of elements from an array. We use the “:” notation to specify the start and end index of the subset. To retrieve an entire row or column we ... Read More

We can reshape the Pandas series using ways like Transpose, reshape method, and melt function. A Pandas Series is a one-dimensional labeled array that can hold data of any type (integer, float, string, etc.). It is similar to a NumPy array but has an index associated with each element that can be used to access individual values. Reshaping refers to changing the shape or structure of the Pandas series for using the data in various ways. Algorithm The general algorithm to Reshape Pandas Series using different methods is as follows − Create a Pandas Series with some data. ... Read More

Exploring the whereabouts of the International Space Station (ISS) and witnessing its real−time movements can be an exhilarating experience. The following article aims to showcase how Python can be utilized to track the ISS, utilizing the ISS API provided by Open Notify and visualizing its location on an interactive world map with the aid of the `folium` library. Installing the Required Libraries Before we embark on our ISS tracking journey, it is necessary to install a couple of libraries: `requests`, which facilitates API calls, and `folium`, which empowers the creation of captivating interactive maps. pip install requests ... Read More

In the realm of building APIs using the renowned Django Rest Framework (DRF), one must skillfully navigate the challenges posed by managing the rate at which clients can unleash their torrent of requests upon your API endpoints. Throttling mechanisms come to the rescue by effectively safeguarding against potential abuse, protecting precious resources, and fostering an environment of equitable usage among clients. In this in−depth discourse, we shall embark upon an enlightening journey, exploring the multifaceted realm of implementing throttling techniques within your DRF−powered API. Brace yourself for a captivating exploration of the built−in throttling classes at your disposal, as well ... Read More

If you've ever pondered the swiftness at which you can type or desire to refine your typing prowess, we possess a solution tailor−made for you! Within the confines of this composition, we shall delve into a simple approach that entails evaluating your typing speed utilizing Python. Fret not if you find yourself at the nascent stages of programming or if technical jargon leaves you feeling bewildered. We shall meticulously expound upon every facet using easily comprehensible verbiage, elucidating the process step by step. Step 1: Embarking on a Pythonic Journey To commence this undertaking, it is imperative to ensure that ... Read More

When delving into the realm of Python development on a Windows operating system, there will undoubtedly be occasions where the need arises to terminate a running process. The motives behind such termination could span a wide array of scenarios, including unresponsiveness, excessive resource consumption, or the mere necessity to halt script execution. In this comprehensive article, we shall explore various methods to accomplish the task of terminating a running process on Windows using Python. By leveraging the 'os' module, the 'psutil' library, and the `subprocess` module, we will equip ourselves with a versatile toolkit to address this imperative task. Method ... Read More

Pandas, an influential Python library renowned for its data manipulation and analysis capabilities, offers an array of tools to empower data scientists and analysts alike. Among its key data structures, the DataFrame stands tall−a two−dimensional labeled data structure with columns of potentially diverse types. When traversing the vast landscape of DataFrames, it frequently becomes necessary to extract specific columns or a range of columns, an art commonly referred to as column−slicing. In this article, we embark on a journey to explore various methods that unveil the secrets of taking column−slices in Pandas. Brace yourself for an expedition through the following ... Read More