"This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1."

"We present a set of computing tools and techniques that every researcher can and should adopt. These recommendations synthesize inspiration from our own work, from the experiences of the thousands of people who have taken part in Software Carpentry and Data Carpentry workshops over the past six years, and from a variety of other guides. Unlike some other guides, our recommendations are aimed specifically at people who are new to research computing."

"Big-O notation used to be a really scary concept for me. I thought this is how "real" programmers talked about their code. It was all the more scary because the academic descriptions (such as Wikipedia) made very little sense to me. This is frustrating because the underlying concepts aren't actually that hard."

"This book (and course) takes a unique approach to “Intro CS.” In a nutshell, our objective is to provide an introduction to computer science as an intellectually rich and vibrant field rather than focusing exclusively on computer programming. While programming is certainly an important and pervasive element of our approach, we emphasize concepts and problem-solving over syntax and programming language features."

"Exploratory Ventures is a class taught at Riverdale High School by high school students. This project-based course allows students to learn a wide variety of skills and immediately apply them. The project changes every year; some past examples are below."

"Papers We Love is a repository of academic computer science papers and a community who loves reading them."

"It is popular nowadays to bring techniques from bibliometrics and scientometrics into the world of digital libraries to analyze the collaboration patterns and explore mechanisms which underlie community development. In this paper we use the DBLP data to investigate the author's scientific career and provide an in-depth exploration of some of the computer science communities. We compare them in terms of productivity, population stability and collaboration trends.Besides we use these features to compare the sets of topranked conferences with their lower ranked counterparts."

"PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. "

The Palette Project (Pedagogically sustained Adaptive Learning through the Exploitation of TaciT and Explicit Knowledge) is an European project, which aims at facilitating and augmenting individual and organisational learning in Communities of Practice (CoPs). Towards this aim, an interoperable and extensible set of innovative services as well as a set of specific scenarios of use have been designed, implemented and thoroughly validated in CoPs of diverse contexts.