- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Rohan Singh has Published 171 Articles
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
444 Views
The apply() function in pandas is used to apply a custom function to the data frame or series. The apply() function can be used to perform transformations, computation, and other operations on the data. The apply() function returns a new Data frame or series by default. We can also modify ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
5K+ Views
The Numpy where() function allows us to perform element-wise conditional operations on array. Numpy is a Python library that is used for numerical computation and data manipulation. To use where() method with multiple conditions in Python we can use logical operators like & (and), | (or) and ~ (not). In ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
495 Views
The paragraphs can be scraped using the Beautiful Soup library of Python. BeautifulSoup is a Python library that allows us to parse HTML and XML documents effortlessly. It provides a convenient way to navigate and search the parsed data, making it an ideal choice for web scraping tasks. By utilizing ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
2K+ Views
The data of the local HTML file can be extracted using Beautiful Soup and Python file handling techniques. Beautiful Soup allows us to parse HTML documents and navigate their structure, while file handling enables us to fetch the HTML content from local files. By combining these tools, we can learn ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
3K+ Views
Google Maps is a powerful tool that provides a vast amount of geospatial data, including locations, addresses, reviews, ratings, and more. Being able to extract this data programmatically can be immensely useful for various applications such as business analysis, research, and data-driven decision-making. In this article, we will explore how ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
1K+ Views
Web scraping is a powerful technique used to extract data from websites. One popular library for web scraping in Python is BeautifulSoup. BeautifulSoup provides a simple and intuitive way to parse HTML or XML documents and extract the desired information. In this article, we will explore how to scrape all ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
2K+ Views
Scaling is the process of preprocessing the data in data analysis and ensuring that all the features in a dataset have similar ranges, making them more comparable and reducing the impact of different scales on machine learning algorithms. We can scale Pandas dataframe columns using methods like Min-max scaling, standardization, ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
121 Views
In Python, we can group tuples by kth index element using several methods like using a dictionary, leveraging the groupby() function from itertools, and utilizing the defaultdict from the collection module. Grouping tuples by the kth index is useful when analyzing data and data manipulation. In this article, we will ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
68 Views
Grouping singleāitem dictionaries into list values can be useful for data aggregation or reformatting. In Python, we can perform this task using various methods like using a loop, using a list comprehension, using the map() function, and using the operator.itemgetter() function. In this article, we will explore different methods to ... Read More
![Rohan Singh](https://www.tutorialspoint.com/assets/profiles/638564/profile/60_146647-1681360804.jpg)
Rohan Singh
809 Views
In Python, we can group similar value list to dictionary using methods like using for loop and conditional statement, using defaultdict, and using groupby methods from the itertools module. Grouping them together can be useful when analyzing complex data. In this article, we will understand how we can group similar ... Read More