10 Python Libraries For Your Coding Nightmares

Everything from extracting data from PDFs to debugging now made easy!
Python’s Pandas vs Polars: Who Wins this Fight in Library

As per the benchmark test conducted by H2O.ai, Polars is way ahead of its competitors
Best Python Libraries for Recommendation Systems

Learn from these libraries to upscale your knowledge
How to build a web scraping package to extract hyperlinks in 10 minutes using Python?

This article briefs about the process of building a custom python package that can be used to scrape data from the web by using various inbuilt functions of BeautifulSoup.
Python’s increasing popularity in scientific and high-performance computing

Python is often used as a glueing layer that relies on compiled optimised packages that it strings together to perform the target computations.
A guide to publication-quality data visualization using Proplot

Proplot is a wrapper of the matplotlib library for the visualization of data.
What’s new in Streamlit version 1.8.0?

Streamlit is an open-source Python library that makes it easy to create custom web apps for machine learning and data science.
PyTorch Lightning Introduces Improved Lightning Logger Support for Weight & Biases and Neputne.ai

The Lightning Team recently announced that it has collaborated closely with Neptune.ai and Weight & Biases Teams to provide the best experience in terms of Logging and Experiment Tracking.
PyTorch Releases Version 2 Of LightningCLI

PyTorch Lightning aims at becoming the simplest, most flexible framework for expediting any kind of deep learning research to production.
Best Python Libraries For Data Processing

What are the benefits of learning Python for data processing?
PyTorch Releases Drug Discovery Platform “TorchDrug”

TorchDrug covers many recent techniques such as graph machine learning, deep generative models, and reinforcement learning.
Top Python Libraries to Get Historical Stock Data (With Code)

Stock market analysis has always been a very interesting work not only for investors but also for analytics professionals.