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To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data …
For years, companies have rewarded their most effective engineers by suggesting they move to a management position. But treating management as the default (or only) path for an …
If you've started to work with Raspberry Pi, you know that Raspberry Pi's capabilities are continually expanding. The fourth edition of this popular cookbook provides more than 200 …
This updated edition of the Nutshell guide not only helps experienced Java programmers get the most out of versions through Java 17, it also serves as a learning path for new …
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can …
The Rust programming language is extremely well-suited for concurrency, and its ecosystem has many libraries that include lots of concurrent data structures, locks, and more. But …
Many organizations today orchestrate and maintain apps that rely on other people's services. Software designers, developers, and architects in those companies often work to …
Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical …
Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship …
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data …