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

Meanwhile, Wordcloud is a word cloud generator. This allows you to automate certain tasks with Python in Excel, which can be really useful for data analysis and visualization.

For data analysis, the cornerstone package in Python is “Pandas”. It allows you to work with data in the same table format as R and makes it easy to tackle missing data, form new columns and ...

Xarray, a library for working with multi-dimensional arrays, is a powerful tool for scientific computing and data analysis. It offers a pandas-like interface, making it easier for developers to ...

Useful Libraries for Data Analysis Whenever I start a data analysis project, I like to have at a minimum the following libraries installed: Requests. Matplotlib. Requests-html. Pandas.

Some are about actual number-crunching; others make it easier for Pythonistas to write fast code optimized for those jobs. Python data science essential: SciPy 1.7 ...

Python’s Meteoric Rise: From 2016-2018, KDNuggets and Kaggle report that Python overtook R as the most used programming language for data science-related purposes: today, more than 65% of all ...

While Python has become the go-to language for data scientists and machine-learning applications, VS Code – Microsoft's lightweight code editor that works on Windows, macOS, and Linux – has ...

Python is the most popular "other" programming language among developers using Julia for data-science projects. Written by Liam Tung, Contributing Writer Aug. 26, 2020, 6:07 a.m. PT ...