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Articles by Mukul Latiyan
Page 25 of 37
Change Value in Excel Using Python
In this article we will learn different approaches with which we can change the value of data present in an excel sheet using python. Openxypl Openpyxl is a Python library used for working with Excel spreadsheets. It is a popular choice for working with Excel files in Python because it is easy to use, has an active developer community, and provides many features for working with spreadsheets. Openpyxl allows you to create, read, write, and modify Excel files using Python. It supports the following file formats: XLSX (Microsoft Excel Open XML Spreadsheet) XLSM (Microsoft Excel Open XML Macro−Enabled ...
Read MoreCluster Sampling in Pandas
In this article, we will learn how we can perform cluster sampling in Pandas. But before we deep dive into that, let's explore a little about what sampling is in Pandas, as well as how pandas help us to do that. Sampling In Pandas, sampling refers to the process of selecting a subset of rows or columns from a DataFrame or Series object. Sampling can be useful in many data analysis tasks, such as data exploration, testing, and validation. Pandas provides several methods for sampling data, including: DataFrame.sample(): This method returns a random sample of rows from a ...
Read MoreClear LRU Cache in Python
In this article, we will learn how to clear an LRU cache implemented in Python. Before we dive deep into the coding aspect, let's explore a little about what an LRU cache is and why it is popular. LRU Cache, also known as the Least Recently Used Cache, is a data structure that is widely used in computer science to improve the performance of applications by reducing the time it takes to access frequently−used data. The LRU Cache stores a limited number of items and removes the least recently used item when the cache becomes full. This allows ...
Read MoreCheck if a Thread has Started in Python
Multithreading is a powerful technique used in modern programming languages to execute multiple threads simultaneously. In Python, the threading module is used to implement multithreading. Multithreading allows programs to perform multiple tasks at once and can improve the performance of applications. When working with multithreading in Python, it's essential to know how to check if a thread is running or not. The is_alive() method provided by the Thread class is a simple and effective way to check the status of a thread. By using this method, you can determine whether a thread has started, is running, or has finished its ...
Read MoreCheck if a String is Present in a Pdf File in Python
In today's digital world, PDF files have become an essential medium for storing and sharing information. However, sometimes it can be difficult to find a specific string of text within a PDF document, especially if the file is lengthy or complex. This is where Python, a popular programming language, comes in handy. Python provides several libraries that allow us to interact with PDF files and extract information from them. One common task is to search for a particular string within a PDF file. This can be useful for various purposes, such as data analysis, text mining, or information retrieval. In ...
Read MoreChange the View of Tensor in PyTorch
PyTorch is an open−source machine learning library developed by Facebook's AI Research team. It is primarily used for deep learning applications, including natural language processing, computer vision, and reinforcement learning. PyTorch provides two main features: a multidimensional Tensor object and a collection of functions that operate on these Tensors. Torch The Tensor object in PyTorch is similar to NumPy's ndarray, but with added capabilities for utilizing GPUs and building dynamic computational graphs. These computational graphs are constructed on−the−fly during the execution of the program, allowing for efficient memory usage and more flexible model architectures. Additionally, PyTorch has a modular design ...
Read MoreFunctional Programming with JavaScript Libraries: Ramda, Lodash, and Immutable.js
Functional programming is a popular paradigm in JavaScript development, emphasising immutability, pure functions, and higher-order functions. It promotes writing clean, concise, and maintainable code. To facilitate advanced functional programming techniques, several JavaScript libraries have emerged, providing powerful tools and utilities. In this article, we will explore three such libraries: Ramda, Lodash, and Immutable.js. We will dive into code examples, explain their features, and showcase the benefits they bring to functional programming in JavaScript. Ramda: Functional Programming made Easy Ramda is a powerful library that promotes functional programming in JavaScript. It focuses on immutability and provides a wide range of functions ...
Read MoreHow to create a meeting with the zoom API in Python?
Zoom is a video conferencing platform that has become increasingly popular for remote meetings and webinars. Zoom provides an API that allows developers to programmatically interact with Zoom's features and functionality, including creating and managing meetings. In this context, Python provides a simple and efficient way to create meetings through Zoom's API. By using Python, you can automate the process of creating Zoom meetings and integrate it with other workflows or applications. In this guide, we will explore how to create a meeting with the Zoom API in Python using the requests library and the Zoom API's authentication mechanisms. ...
Read MoreHow to Create a Pivot Table in Python using Pandas?
A pivot table is a powerful data analysis tool that allows you to summarize and aggregate data based on different dimensions. In Python, you can create pivot tables using the pandas library, which provides flexible and efficient tools for data manipulation and analysis. To create a pivot table in pandas, you first need to have a dataset in a pandas DataFrame. You can load data into a DataFrame from various sources such as CSV files, Excel spreadsheets, SQL databases, and more. Once you have your data in a DataFrame, you can use the pandas pivot_table() function to create ...
Read MoreHow to Create a Pie Chart in Seaborn?
One of the most commonly used types of graphs in data visualisation is the pie chart. A pie chart is a circular chart that is divided into slices to represent the proportion of different categories in a dataset. Seaborn is a Python data visualization library that is built on top of Matplotlib, which is another popular Python visualization library. Seaborn provides a high-level interface for creating a wide range of statistical graphics and can produce more sophisticated and aesthetically pleasing visualizations than Matplotlib. Matplotlib is a low-level library for creating basic graphs and charts in Python. It provides ...
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