Closing out our list of 10 best Python libraries for data science is BeautifulSoup, which is most often used for web crawling and data scraping. With BeautifulSoup, users can collect data that’s ...

PyTorch has many data science applications and can be integrated with other Python libraries, such as NumPy. The library can create computational graphs that can be modified while the program is ...

Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know.

It does not require any computer science or statistics background. We strongly recommend taking the Python for Data Science course before starting this course to get familiar with the Python ...

Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and ...

Abstract: Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand ...

In its IBM Data Science Professional Certificate course, you will learn how to analyze and visualize data and build machine-learning models using Python, SQL, and open-source tools and libraries.

It also covers key data science libraries in Python, such as NumPy and Pandas. SQL for Data Analysis: This course covers the basics of SQL, including data querying, data filtering and data ...