INTRODUCTION: Web scraping with Python involves extracting data from websites automatically. Python’s libraries like Beautiful Soup and Scrapy simplify this process by parsing HTML and XML documents. It starts with fetching a webpage using Python’s requests module, then using Beautiful Soup to navigate through the HTML structure and extract specific data based on tags and …
INTRODUCTION: NumPy, or Numerical Python, is a powerful library in the Python programming language that supports large, multi-dimensional arrays and matrices. It also includes a wide collection of mathematical functions to operate on these arrays. One of its fundamental functions is `numpy.arange()`, which is used to create arrays with regularly spaced values. This function is …
INTRODUCTION: NumPy’s sorting and searching capabilities are integral to data manipulation and analysis tasks. Sorting arrays allows for easier data organization and facilitates efficient algorithm design, crucial for tasks like median finding or ranking operations. Searching functions such as `numpy.where()` are essential for locating specific elements or conditions within arrays, aiding in data filtering and …