Anusha ShenoyLet’s start this article with a quick question to understand your understanding of strings. 💬 Question: Can the string objects be modified in Python? What do you think? Well, the fact is String objects are immutable. They cannot be modified. Consider the below example : Output: Now you might say, replacement operations and insertion operations … Read more
In today’s article, let’s discuss one of the most asked interview questions: How to find the most common elements of the list in Python? Although this might sound like a simple question, the approach we use to answer this question gives the interviewer an idea of our knowledge and expertise in Python. Understanding the Challenge … Read more
BeautifulSoup is a library used for parsing web pages. As the library is simple to access and use, it is extensively used by the developers for Web Scraping activities. If the webpage is in the HTML format, we can parse the webpage using an HTML parser. After parsing the document, we can filter only the … Read more
The HTML iframe tags are extensively used on a webpage to display advertisements, map locations, results, etc. When we’re scrapping a website, we might have to extract the data from the iframe elements. It is possible to extract the data from the iframe elements. But the way of doing it is slightly different. In this … Read more
When we browse through a webpage, we see some blue text with an underline underneath. These are called anchor texts. That’s because when you click on these texts, they take you to a new webpage. The anchor tags, or the <a> tags of HTML, are used to create anchor texts, and the URL of the … Read more
When we’re working on real-world data, the data files that we receive will be huge. In such cases, cleansing the data becomes important. Often, we might have to count the occurrences of elements in a column. Doing so, gives us insights like: The number of times the value has been duplicated. Count corresponding to a … Read more
Problem Formulation While working on large datasets, we might have to find the unique values from various columns. For example, let’s say, we have a dataframe object as shown below: And we want to find the unique elements from Col1 and Col2. That is, we want to return the following values: Solution Overview To solve … Read more
All the Python objects like strings, integers, lists, dictionaries, and sets have a hashable property associated with them. Some of the objects are hashable, while others are not. When we say a Python object is hashable, it means the value of that object will remain the same till the end of its life. For example, … Read more
NaN stands for Not A Number. It is a placeholder to indicate the absence of value. One can think of it as a None or 0. It’s just that None or 0 belongs to a specific type. However, NaN doesn’t. We use NaN to represent missing data or the failure to perform some operation. While … Read more
Background and Problem Description Multi-threading allows you to run your program concurrently. You can achieve this by using threads. 💡 Definition: In simple terms, a thread is a set of instructions that can be executed independently to perform some task. One thread might run a part of the program while the other runs another part. … Read more