Top 10 Python Libraries in 2023 | Python Libraries Explained | Python for Beginners | Simplilearn

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In this video on Top 10 Python Libraries in 2023,we will take a look at some of the best Python libraries that you should consider using in your projects in 2023. In this python for beginners video, we will cover what is python, what is a Python library, and the best python libraries explained - Numpy, Pandas, Matplotlib, Sciket learn, Scrapy, Pytorch, Pygame, theano, Keras, and BeautifulSoup. Below are the topics we are covering in this video.

00:00 Top 10 Python Libraries in 2023
00:07 What is Python
01:34 What is a library
02:11 NumPy
03:11 Pandas
04:18 Matplotlib
05:11 sciket-Learn
06:10 Scrapy
06:47 Keras
07:19 Pytorch
07:50 BeautifulSoup
08:21 Pygame
09:30 Theano

Python is the most widely used programming language today. When it comes to solving data science tasks and challenges, Python never ceases to surprise its users. It's an easy-to-learn, easy-to-debug, widely used, object-oriented, open-source, high-performance language, and there are many more benefits of Python programming.

NumPy: NumPy is an open-source Python library used for scientific computing and data analysis.

Pandas: Pandas is an open-source data manipulation and analysis library for the Python programming language.

Matplotlib: Matplotlib is a Python library used for data visualization.

Sciket-learn: Scikit-learn, also known as skilearn, is a popular open-source machine-learning library for Python.

Scrapy: Scrapy is one of the most popular, fast, open-source web crawling frameworks written in Python.

Keras: Keras is another popular library that is used extensively for deep learning and neural network modules.

Pytorch: Python is a Python-based scientific computing package that uses the power of graphics processing units.

BeautifulSoup: BeautifulSoupr popular python library most commonly known for web crawling and data scraping.

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