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The files are very important documents in our systems. In files we store our important data and moving these files is also an important task to organize the system. So we will learn how to move and also overwrite the files and folders using Python modules. Understanding the Logic for the Problem The problem at hand is that we have to create a code for moving and overwriting the files and folders in Python. For solving this problem we will import os and shutil libraries of Python. So with the help of these libraries we can move and overwrite the ... Read More
Hypertext markup language i.e. HTML is a markup language that is used to create webpages content on the internet. HTML document files may contain some unwanted or malicious elements which can cause several issues while rendering the webpage. Before processing the HTML content we need to perform HTML cleaning for removal and cleaning of the malicious elements in the file. HTML entities are special characters that need to be converted into corresponding HTML representations to ensure proper rendering in browsers. In this article, we will understand cleaning and entity conversion methods using Python. HTML Cleaning HTML cleaning is done ... Read More
Two lists of lists can be merged in Python using the zip() function. Combining two lists of lists can be particularly valuable when dealing with tabular or multidimensional data, as it allows for combining related information from different sources. The zip() function, a powerful built-in tool in Python, facilitates this process by pairing corresponding elements from the sublists and generating a new list. In this article, we will explore how to zip two lists of lists in Python using the zip() function. Algorithm A general algorithm to zip two lists of lists is as follows: Create two lists ... Read More
The problem statement requires finding the summation of nested record values using Python. Sometimes we are required to add the values present in the data so that time this approach can be useful as record is the powerful dataset in terms of updating or manipulating the data using the keys. Understanding the Problem The given problem is to find the addition of values in the given record so here we will be using the nested dictionary as a record. And we will implement the code using Python. And the nested dictionaries are the dictionary inside the dictionary. And we have ... Read More
HTML is a markup language that is used for creating web page structure and content in any web-related projects. Python provides various libraries and methods for writing to an HTML file. Python can be used to write to an HTML file using the open() function and write() method. In this article, we will explore how to write to an HTML file in Python, including the necessary syntax and examples. Writing to an HTML file To write to an HTML file we need to first open the HTML file and then add content to it in HTML syntax using tags. Once ... Read More
Pandas dataframe can be written as a tab separated Value (TSV) using the to_csv() method of Pandas library. Pandas is a powerful data manipulation and analysis library in Python. It provides various functionalities to work with structured data, including reading and writing data in different formats. One common format for storing tabular data is TSV (Tab-Separated Values), where columns are separated by tabs. In this article, we will understand with examples how to write a Pandas Dataframe to a TSV file using Python. Algorithm To write a Pandas DataFrame as a TSV file, we can follow these steps: ... Read More
Flask is a lightweight web framework written in Python that allows developers to quickly build web applications and APIs. It provides a simple and elegant way to create RESTful APIs with minimal code. In this article, we will walk through the process of creating a simple Flask API that returns a "Hello, World!" message. Prerequisites Before we start, make sure you have the following installed on your machine: Python (version 3.6 or above) Flask (can be installed using pip) Algorithm A generic algorithm for writing any simple Flask API is as follows: Set up ... Read More
When we work with large datasets in Pandas we often view and analyze data in a tabular format. When dealing with wide data frames containing numerous columns, the default display settings may truncate or hide some columns, making it difficult to fully explore and understand the data. To overcome this limitation, we can widen the output display in Pandas to ensure all columns are visible. In this article, we will discuss various methods and techniques to widen the output display to see more columns. The default Display settings By default, Pandas restricts the number of columns displayed in order ... Read More
Sparse matrices are a specialized type of matrix that contain mostly zero values. These matrices are commonly encountered in applications such as graph theory, machine learning, and network analysis. Visualizing sparse matrices can provide valuable insights into the distribution and patterns of non-zero values. In this article, we will understand how to visualize sparse matrices in Python using the popular data visualization library, Matplotlib. Understanding Sparse Matrices A sparse matrix is a matrix in which most of the elements are zero. These matrices are typically large and inefficient to store in memory if all the zeros are explicitly represented. ... Read More
PySpark, the Python API for Apache Spark, provides a powerful and scalable big data processing and analytics framework. When working with PySpark DataFrames, it's essential to understand and verify the data types of each column. Accurate column-type verification ensures data integrity and enables you to perform operations and transformations accurately. In this article, we will explore various methods to verify PySpark DataFrame column types and provide examples for better understanding. Overview of PySpark DataFrame Column Types In PySpark, a DataFrame represents a distributed data collection organized into named columns. Each column has a specific data type, which can be any ... Read More