Dear friends,
Welcome to the March 4th edition of the Sunday Briefing. This week we’re proud to announce the latest post in teh Viz4Sci series: Waterfall Chart. You’re also welcome to catch up on our latest Medium post “Top 10 Books we read in 2022” and the most recent post on the G4Sci series: Network Attacks: Breaking up a network without observing it completely.
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The very first edition of the brand new webinar series : Interactive Data Visualization with Python is coming up in just a few weeks. In this course we will explore different ways in which we can build visualizations that we can interact with to better explore our data. You can still be one of the first ones to Sign Up!
On our regularly scheduled content, we discover pandas 2.0 and the Arrow revolution, The Uniqueness of Human Recursive Thinking and the Transformative Power of Sabbaticals.
On the academic front, we explore some universal patterns in egocentric communication networks, how contact networks have small metric backbones that maintain community structure and are primary transmission subgraphs and how we can predict food crises using news streams.
This week’s Data Science Book is “Advanced Algorithms and Data Structures” by M. La Rocca. As always you can find all the previous book recommendations on our website. In the video of the week, we have a tutorial on Bar Charts Basics with Bokeh.
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Semper discentes,
The D4S Team
This week’s Data Science Book is " Advanced Algorithms and Data Structures " by M. La Rocca. This book is a great resource for engineers who want to enhance their knowledge of algorithms and data structures without having to go back to traditional, academic-style textbooks. The author has a deep understanding of how to deliver high-quality code and each algorithm is thoroughly illustrated with pseudo-code and diagrams. The book is especially helpful for tackling contemporary problems such as multidimensional search, understanding caches better, classification, and graph theory.
The writing is friendly and approachable, making it relatively easy to understand, although some familiarity with math may be helpful. It is a book that can be read, skipped around, and returned to from time to time when needed. Overall, this is a strongly recommended book for engineers looking to enhance their algorithm and data structure knowledge.
