Issue #136
July 4, 2021
This weeks Data Science Book is " Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code " by J. Dougherty, I. Ilyankou. Data visualization, and in particular, storytelling with Data is an often overlooked skill that can help you stand out among your peers. Being able to explain your results, highlight the key points and messages can help you maximize your professional impact. This book is one of the best introductions to Data Visualization and storytelling using a wide range of tools and techniques that are presented through hands-on, step by step, tutorials. The book focuses on generating interactive visualizations that can be embedded within your customer facing website or internal dashboard using a wide range of practical tools.
- 1. The Modern Guide to OAuth [fusionauth.io]
- 2. Python module for parsing Apple Numbers files [github.com/masaccio]
- 3. Laws, Theories, Principles and Patterns that developers will find useful [github.com/dwmkerr]
- 4. Category Theory: Lecture Notes and Online Books [logicmatters.net]
- 5. Graph ML in 2022: Where Are We Now? [towardsdatascience.com]
- 6. Probability, Statistics and Truth [camrongodbout.medium.com]
- 7. 8 Guidelines to Create Professional Data Science Notebooks [towardsdatascience.com]
- 8. Distillation of BERT-Like Models: The Theory [towardsdatascience.com]
- 9. How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch [theaisummer.com]
- 10. Ancient dreams of intelligent machines: 3,000 years of robots [nature.com]
- • Functional observability and target state estimation in large-scale networks (A. N. Montanari, C. Duan, L. A. Aguirre, A. E. Motter)
- • Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (T. Eliassi-Rad, V. Latora, M. Rosvall, I. Scholtes)
- • The Science of Visual Data Communication: What Works (S. L. Franconeri, L. M. Padilla, P. Shah, J. M. Zachs, J. Hullman)
- • Depression alters the circadian pattern of online activity (M. ten Thij, K. Bathina, L. A. Rutter, L. Lorenzo-Luaces, I. A. van de Leemput, M. Scheffer, J. Bollen)
- • Complex contagions (D. Centola)
- • Visual analysis of global research trends in social bots based on bibliometrics (X. Chen, S. Gao, X. Zhang)
- • Bad Characters: Imperceptible NLP Attacks (N. Boucher, I. Shumailov, R. Anderson, N. Papernot)
Type Hints in Python: What, Why, and How
All our videos are also available in our YouTube playlist.
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