His argument against Python is that a person using it for data science needs to learn about extra Python packages, like NumPy, which brings Matlab-like data-analysis powers to Python.

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...

These Python courses on Coursera help you solve educational, professional and financial challenges using the popular programming language.

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Although Julia is purpose-built for data science, whereas Python has more or less evolved into the role, Python offers some compelling advantages to the data scientist.

In this section, we use the dataset cargame.csv to demonstrate how to create basic graphical displays in Python. Below is the scenario for the data: A toy company has four types of vehicles for sale: ...

Netflix's Metaflow Python tool helps data scientists deploy machine-learning models to production faster. Written by Liam Tung, Contributing Writer Dec. 4, 2019 at 5:01 a.m. PT ...

Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform may finally solve the Python efficiency problem.