Compiled by: Huang Nian, Xi Xiongfen Proofread by: Wang Jing Image source: bokeh.pydata.org ◆ ◆ ◆ Introduction Recently, I have been watching a video from the SciPy 2015 conference held in Austin, Texas, titled “Creating Python Data Applications with Blaze and Bokeh,” and I can’t help but repeatedly think about the powerful capabilities these two … Read more
This is a work from Big Data Digest, please contact us for reprints. Compiled by: Zhang Yuanyuan, Traveler, Aileen “Introduction: In this issue of the Beginner’s Guide to Data Science, we continue to help you learn Python. This time, our editors have gathered several useful cheat sheets for common Python libraries online, making it easier … Read more
Source: Deep Learning Enthusiasts This article is about 1800 words long and takes about 8 minutes to read. It introduces 10 Python data visualization libraries suitable for multiple disciplines. Today, we will introduce 10 Python data visualization libraries suitable for multiple disciplines, some of which are well-known while others are less recognized. 1. Matplotlib Two … Read more
Bokeh: An Intelligent and User-Friendly Python Visualization Library Bokeh is a Python data visualization library for creating interactive charts, especially suitable for scenarios that require displaying complex and dynamic data on the web. It is widely appreciated for its powerful interactivity and ease of use, making it ideal for beginners and data analysts. This article … Read more
The portrait mode on mobile phones, also known as “background blur” or “dual-camera blur” mode, also referred to as Bokeh mode, can keep specific people or objects in focus while blurring the rest of the background. This highlights the main subject of the image, resulting in a stronger aesthetic appeal. Portrait mode effect on VIVO … Read more