Step-by-Step Guide to Interactive Data Visualization with Bokeh in Python

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

Step-by-Step: Implementing a Blockchain Client Based on RSA Algorithm Using Python

Big Data Digest Work Compiled by: Wan Jun, Molly, Jiang Bao Shang Blockchain, as the core technology behind Bitcoin and other cryptocurrencies, has attracted global attention in recent years. However, countries have varying attitudes towards this disruptive technology. Its decentralized distributed structure allows users to communicate directly without the need for a central node, which … Read more

How Cool Would Cyberpunk Be If Combined with Python?

Reprinted with permission from Fanastr“Cyberpunk 2077” is a very popular single-player game recently.The game is set in the year 2077, in a highly developed yet chaotic “cyberpunk” city.In this world, although technology is highly advanced, the living standards of humans are extremely low, or rather, the living standards of the poor are extremely low.Moreover, apart … Read more

No Memory Issue That One Line of Python Code Can’t Solve

Produced by Big Data Digest Compiled by: Javen, Hu Jia, Yun Zhou Insufficient memory is a common issue encountered during project development. My team and I faced this problem in a previous project where we needed to store and process a fairly large dynamic list. Testers often complained to me about memory shortages. However, in … Read more

Beginner’s Guide to Common Python Libraries for Data Science (Includes PDF Download)

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

Step-by-Step | Is Python Too Slow? Achieve 4x Speedup with Process Pools in Just Three Lines of Code!

This is a work from Big Data Digest, please see the end of the article for reprint requirements. Author | Adam Geitgey Translation | Yuan Yuan, Lisa, Saint, Aileen Python is undoubtedly an excellent programming language for processing data or automating repetitive tasks. Need to scrape web logs? Or adjust a million images? There is … Read more

Ant Group’s Wang Yi: Go+ Effectively Complements Python’s Shortcomings

Introduction by Ali Sister: Python’s syntax is very flexible, incorporating many features from other languages that are considered convenient. However, the advantages of Python also imply its disadvantages. Ant Group researcher Wang Yi has gained a deeper understanding of Python’s limitations through his hands-on experience in industrial systems, and he believes that Go+ is the … Read more

New Year Goal: Mastering ‘Kung Fu Panda’ in Python to Become the Most Efficient Data Scientist

Produced by Big Data Digest Source: Medium Translated by: Zhu Shuai, Xue Qing, Xia Yawei This is an introductory guide to pandas, where the author uses simple language and straightforward example code to showcase the overview of pandas and some advanced operations. “… It is a library that everyone engaged in data science must master,” … Read more

Step-by-Step | 20 Lines of Python Code to Batch Convert PDF to Word

Big Data Digest Work Author|Ding Yanjun In daily work or study, one often encounters the following frustration: “Xiao Ren, please type out the contents of this PDF and send it to me.” Ugh, what a hassle, a 2MB PDF can’t be finished by 12 o’clock! Many times while studying, I find that many documents are … Read more