บทความ Python

Q&A with Patrick Kelly, Professional Data Wrangler

Our infographic explains how the open-source revolution has transformed data science and maps out how to become fluent in data manipulation, data visualization, machine learning, reporting and communicating data, and natural language processing.

Here’s all you need to know to get started with pandas.

This guide will help you answer one of the most frequently asked questions of newcomers in data science and help you choose between R and Python.

Discover the scope of Python for research, why scientists should use Python for scientific computing and how the Python community can effectively aid scientific research.

A discussion of the evolution of and some of the key differences between IPython and Jupyter.