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A free online book covering computer science from the bottom up, written by Ian Wienand and available in PDF, EPUB, and source code formats.
A tweet sharing Brendan Gregg's curated list of recommended books covering systems performance, language performance, database performance, and other computer science domains.
Updated 2204-page PDF mathematics ebook covering algebra, topology, differential calculus, and optimization theory for computer science and machine learning, released by Jean Gallier and Jocelyn Quaintance.
Discussing the high cost of EE/CS education, encouraging a search for an open-source electrical and electronic engineering course repository on GitHub, believing that the revolution in higher education will develop rapidly from this.
A GitHub repository curating courses from top universities (Harvard, MIT, Stanford, etc.) into a structured computer science degree, with prerequisites and workload details, offering a free learning roadmap without a diploma.
The Chinese edition of Introduction to Algorithms (4th Edition) is finally published, split into two volumes: Core Chapters and Extended Chapters, corresponding to Chapters 1–25 and Chapters 26–35 of the original book.
The MIT textbook 'Mathematics for Computer Science' has been translated into Japanese and is available at inzkyk.xyz.
A curated list of open-source computer science courses on GitHub, open-source-cs, featuring free public courses from top universities like MIT and Stanford, arranged according to the undergraduate curriculum. Already with 20k+ Stars, it's ideal for self-learners seeking systematic study.
Introduces LCS-Bench, a theory-scale benchmark for auto-formalization of logics for computer science, covering 327 textbook items over 4,076 Lean declarations. Evaluation on 14 models shows the benchmark is challenging, with SOTA models achieving only 20.1% on auto-formalization tasks.
This study examines how LLMs suggest research methods (datasets, models, metrics) when prompted only with a research question, finding that LLMs exhibit a strong provider bias and propose a much narrower range of methods compared to actual papers, potentially narrowing researchers' methodological search space.
The second edition of 'The Garbage Collection Handbook' updates the authoritative reference on automatic memory management, covering new hardware, software, and algorithm developments.
A 2013 video visualizing and audibilizing 15 sorting algorithms in 6 minutes, including selection sort, quick sort, and bogo sort.
A 20-year-old woman taught herself computer science for two years and became an AI engineer at Microsoft, sharing her learning notes and resource repository X-Plore.
Michelle Lam announces she is leaving Stanford after 10+ years to join UT Austin's CS department as an assistant professor in fall 2027, and is recruiting PhD students interested in AI interaction.
The blogger found that a master's exchange student from the University of Toronto's computer science department knows about AI tools but uses them conservatively on her advisor's advice.
MIT's Advanced Data Structures course (6.851) by Prof. Erik Demaine is available fully online with video lectures and collaborative problem solving.
A tweet highlights numerous free online resources for learning tech skills including computer science, data structures, system design, and machine learning, arguing that a student with internet access can learn almost any in-demand tech skill for free.
A tweet thread explaining how web browsers embody various computer science disciplines, including data structures, operating systems, compilers, networking, rendering, databases, information retrieval, and machine learning, highlighting the browser as a universal computing platform.
A popular GitHub project providing a comprehensive multi-month study plan for software engineering interviews, covering CS fundamentals, algorithms, system design, and resume tips.
A report from UC Berkeley shows that failing grades in computer science courses have surged due to increased AI use and weaker math skills among students. Instructors attribute the trend to academic dishonesty and lack of preparation, with failure rates far exceeding typical department guidelines.