The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are primarily designed for business and financial calculations. You can perform ...

One of Python's best features is the number of libraries you can use with the language. Not only does Python come with lots ...

Breaking into data analytics is not simply about learning a tool or two, but about building a blend of technical skill, ...

Python data science essential: Dask 2021.07.0 Processing power is cheaper than ever, but it can be tricky to leverage it in the most powerful way—by breaking tasks across multiple CPU cores ...

Meanwhile, the tech employment research revealed a monthly average of 14,000 job searches for data science positions, a notch or two behind web development and software programming. Despite enthusiasm ...

The Python ecosystem is loaded with libraries, tools, and applications that make the work of scientific computing and data analysis fast and convenient.

That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python. Such ...

10 min read Investment Style Analysis: Python Snippets for Evaluating Style Drift Copy and paste these code snippets to evaluate investments for style drift.

Exceptional data analysis skills, using Python (preferred) or R. Highly numerate, with the ability to think statistically. Strong communication skills, particularly with non-specialist audiences. The ...