Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

In our digital sage, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating ...

At a glance. Title: Python Tools for Scientists Author: Lee Vaughan Publisher: No Starch Press Print: $49.99; Ebook: $39.99 Unpacking Anaconda. Part three tours many of the libraries packaged with ...

Jose Portilla for creating the Udemy course Python for Data Science and Machine Learning. These are my notes from his course. Patrick Walls for creating the wonderful Mathematical Python book. Python ...

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.

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be ...

Today, we are launching the first Anaconda course, Interactive Data Visualization with Bokeh. Bokeh is an interactive visualization library for Python (and other languages!) that targets modern ...

Employ data manipulation libraries like pandas in Python or dplyr in R to preprocess and clean large datasets before visualization. Consider using data streaming techniques for real-time data ...

Here’s my run-down of some of the best, most popular or most innovative data visualization tools available today. These are all paid-for (although they all offer free trials or personal-use ...

Python and Excel can only really talk to each other through limited functions—xl() and =PY()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.