Issue #202

May 23, 2023

This week’s Data Science Book is " Fluent Python " by L. Ramalho, which is, in my opinion, the best book on Python programming available as it teaches readers to truly understand how Python works and how to utilize it effectively. This is a book for those who want a comprehensive and in-depth understanding of the language, covering advanced topics such as metaprogramming with "dunder()" methods without getting lost in the weeds. It covers exactly what you need to know, without overwhelming you with unnecessary information. "Fluent Python" is a must-have for any serious Python programmer as even after almost twenty years of working with Python, I continue to learn new things with each chapter. The second edition weighs in at over 1,000 pages for an in depth, comprehensive cover, of everything you may ever need to know about Python.

Fluent Python

1. Ken Griffin's Hand-Picked Math Prodigy Runs Market-Making Empire [bloomberg.com]
2. All languages are NOT created (tokenized) equal [blog.yenniejun.com]
3. The Unreasonable Effectiveness of Character-level Language Models [colab.research.google.com]
4. AI boom could expose investors' natural stupidity [reuters.com]
5. LangChain AI Handbook [pinecone.io]
6. Graph Machine Learning: An Overview [towardsdatascience.com]
7. "Where have all the hackers gone?" + a way to discuss programming languages [morepablo.com]
8. 30 Years Ago World Wide Web Released Into Public Domain [i-programmer.info]

• Satellites reveal widespread decline in global lake water storage (F. Yao , B. Livneh, B. Rajagopalan, J. Wang, J.-F. Crtaux, Y. Wada, M. Berge-Nguyen)
• Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes (E. Massaro, R. Schifanella, M. Piccardo, L. Caporaso, H. Taubenböck, A. Cescatti, G. Duveiller)
• Polarization in Online Social Networks: A Review of Mechanisms and Dimensions (L. Tölle, M. Trier)
• From language models to large-scale food and biomedical knowledge graphs (G. Cenikj, L. Strojnik, R. Angelski, N. Ogrinc, B. K. Seljak, T. Eftimov)
• Probing sociodemographic influence on code-switching and language choice in Quebec with geolocation of tweets (O. Kellert)
• Graph2Feat: Inductive Link Prediction via Knowledge Distillation (Ahmed E. Samy, Z. T. Kefato, S. Girdzijauskas)
• GPT detectors are biased against non-native English writers (W. Liang, M. Yuksekgonul, Y. Mao, E. Wu, J. Zou)
• Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics (Y. Yang, A. Pentland, E. Moro)

Intro to Neo4J

May 23, 2023

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