Hiding User Input for Sensitive Fields Like Passwords
Typically, login forms display input characters as asterisks or bullets to prevent shoulder surfing and other forms of eavesdropping.
Category: Python
How to Check Text Similarity Between Two Documents Using Python?
NLTK (Natural Language Toolkit) is a powerful library in Python that provides easy-to-use interfaces to over 50 corpora and lexical resources, including WordNet.
Web Crawler in Python | Comparing Yahoo, DuckDuckGo and Bing Search Results
BeautifulSoup is a Python library designed to parse HTML and XML documents. It simplifies tasks like iterating and searching HTML elements by attributes.
Merging Datasets in Python using Numpy, Pandas
Pandas provides powerful tools for complex data manipulations. For the large datasets, Pandas chunk processing is a better approach.
Generators in Python
This generator acts as a task manager, handling tasks sent to it one at a time and maintaining its state across calls.
Efficiently Merging Large Sorted Files
The solution involves using an external Merge sort algorithm for handling data that cannot fit into memory. We’ll use a two-pointer technique.
Normalization and Scaling in Python using ML Libraries
These plots visualize the distributions of the original data and the data after applying each normalization technique.
What is Object-Relational Mapping (ORM)?
An ORM, or object-relational mapping, is a programming technique that allows a software application to access and manipulate a database.
How to crawl Instagram data using its public API and Python?
In 2022, the official Instagram API allow you to access only your own posts and not even public comments and posts on Instagram because of the rising privacy concerns from the users and frequent accusations of data-breach at many big companies including Facebook. This has made it difficult for programmers to crawl Instagram data.
Python Machine Learning Libraries
Python has several ML libraries but major libraries that are used are the following:
Numpy, Scikit-Learn, Pandas..