Subject

Software Engineering

Becoming a Better Data Scientist by Learning Software Engineering Principles

Software Engineering for Data Scientists presents principles that will improve the performance and efficiency of data science projects.

So, You Want to Lead a Team of Devs…

Unlock your full potential as an effective, efficient, and inspiring leader, and be the software engineering manager that your team deserves!

Differential Privacy in Action

This article introduces the concept and definition of differential privacy.

Read it if you’re a machine learning engineer, or a developer building around machine learning.

Applied Natural Language Processing

From Real-World Natural Language Processing by Masato Hagiwara


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The Guide to Cryptography

From Real-World Cryptography by David Wong


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Expand Your Programming Skill Set


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From
Advanced Algorithms and Data Structures by Marcello La Rocca.

The Singleton Lifestyle

From Dependency Injection, Principles, Practices, and Patterns by Steven van Deursen and Mark Seemann

This articles explains the Singleton Lifestyle: what it is and what it means for your code.

Tidying, Manipulating, and Plotting Data with the tidyverse

From Machine Learning with R, tidyverse, and mlr by Hefin Rhys

This article covers:

• What the tidyverse is
• What’s meant by tidy data
• How to install and load the tidyverse
• How to use the tibble, dplyr, ggplot2 and tidyr packages of the tidyverse

Free eBook: Microservices Stability: Design For Failure, Deploy With Confidence

freePereira_MS

Chapters selected by Paulo Pereira

Make Software that Stands the Test of Time

From Seriously Good Software: Code that works, survives, and wins by Marco Faella


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