Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

For a data science interview, the six technical concepts I’ve mentioned are a must. Of course, it’s recommended you dive even deeper into Python and broaden your knowledge.

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

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, ...

I've looked at several ways you could use Python to do scientific calculations in the past, but I've never actually covered how to set up and use Python itself in a way that makes scientific work ...

Netflix's data-science team has open-sourced its Metaflow Python library, a key part of the 'human-centered' machine-learning infrastructure it uses for building and deploying data-science ...

Stefanie Molin recently wrote the technical book “Hands-On Data Analysis with Pandas” (published by Packt on July 26, 2019). Her work shows readers how to analyze data and get started with ...