by MrXOR on 12/29/20, 6:14 PM with 53 comments
by ljhsiung on 12/29/20, 6:41 PM
I'm also surprised Jeff Erickson's free lecture notes [3] aren't there given 1) its easy to remember domain 2) its incredibly high, practical quality. Practical because I've had interviews that just grab questions from the book, and also because his course is basically just a walk-through of the book. It's also very easy to read, and although I didn't do great in his class, his conceptual lessons still stick with me.
[1] http://acs.pub.ro/~cpop/SMPA/Computer%20Architecture%20A%20Q...
[2] https://github.com/Seanforfun/Books/blob/master/Computer/Com...
by jcynix on 12/29/20, 10:29 PM
* Paolo Bory: The Internet Myth https://unglue.it/work/442013/
* The Digital Public Domain: Foundations for an Open Culture https://unglue.it/work/136338/
* Francis daCosta: Rethinking the Internet of Things (APress) https://unglue.it/work/310550/
* Shotts: The Linux Command Line (No Starch Press) https://unglue.it/work/136224/
* Fogel: Producing Open Source Software UT: How to Run a Successful Free Software Project https://unglue.it/work/135870/
* Ryder: Unix as IDE https://unglue.it/work/194054/
More at e.g.
by pron on 12/29/20, 7:13 PM
Finite of Sense and Infinite of Thought: A History of Computation, Logic and Algebra
by gmfawcett on 12/29/20, 6:54 PM
by asicsp on 12/30/20, 4:31 AM
And here's a huge list of freely available programming books: https://ebookfoundation.github.io/free-programming-books/boo...
by st1x7 on 12/29/20, 8:54 PM
It's also a bit intimidating and overhwelming. There is so much to learn and there is also a danger of just getting through textbooks that cover the same material that you've read before or covering stuff on a surface level without getting any practice with what you've learned. As a data scientist, it feels like anything from mathematics, computer science, statistics, large-scale systems, software engineering in general is within my domain and there is a real danger of spreading oneself a bit too thin and not getting that good at anything.
by ipodopt on 12/29/20, 7:28 PM
[audio books] http://audiobookbay.nl/
[books] http://gen.lib.rus.ec/
[research papers] https://sci-hub.do/
by riknos314 on 12/29/20, 8:31 PM
Disclaimer: I helped build this platform as a student
by irateswami on 12/29/20, 6:42 PM
by boxmonster on 12/29/20, 11:48 PM
by WalterBright on 12/29/20, 10:58 PM
by rckoepke on 12/29/20, 7:36 PM
Example Textbooks: Problem Solving with Algorithms and Data Structures using Python (3rd edition)
by subset on 12/30/20, 8:07 AM
by brogrammer2018 on 12/30/20, 4:55 AM
by teleforce on 12/30/20, 6:04 AM
Perhaps you can add "High Performance Browser Networking" in your networking book section:
by jagger27 on 12/29/20, 7:38 PM
by bluenose69 on 12/29/20, 10:24 PM
by deflox on 12/30/20, 11:55 AM
by mathieubordere on 12/30/20, 9:24 AM
by low_common on 12/29/20, 6:40 PM
by ipodopt on 12/29/20, 7:25 PM
by amir734jj on 12/29/20, 7:32 PM
by aronpye on 12/29/20, 8:03 PM
by 2fourk on 1/4/21, 3:34 AM
by boblivion on 12/29/20, 7:30 PM
by pyfan878 on 12/29/20, 11:40 PM
by blackrock on 12/29/20, 11:17 PM
Anyone have any success using the reMarkable 2 for it?
by adilsardar on 12/30/20, 7:30 AM
by blackrock on 12/29/20, 7:20 PM