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What are your favorite tech books? Which do you consider most useful? Academic papers, textbooks, non-fiction, fiction, etc. Anything /g/-related. Post 'em ITT.

PDF's:
►https://oceanofpdf.com/
►https://www.gutenberg.org/
Academic Papers:
►https://sci-hub.se/
►https://www.freetechbooks.com/
►https://wikipedialibrary.wmflabs.org/
Audiobooks:
►https://librivox.org/
►https://galaxyaudiobook.com/search-audiobooks.php?s=test
Article Paywalls:
►https://unpaywall.org/
IRC:
►IRChighway.net/eBooks
>>
Wish I had the attention span to read them.
>>
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>>107598177
>>
>>107598226
Bee boop
>>
>>107598004
>>107598004
>Linear Algebra Done Right
Wrong choice for the tech context. It makes sense mostly for some physics and pure math students. But if you want to use it as an alternative to typical "intro to proofs" books before proof-based computer science subjects, it can help, but you will need discrete math anyways. If you want Springer, try:
>>>/sci/16870019
>>>/sci/16873038
>>
>>107598004
None of these are mandatory. K&r is an outdated manual for c.
>>
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>>107598004
Do I own it? Yes.
Have I read it? No.

The mandatory /g/ experience.
>>
>>107598004
K&R
Systemantics
Le Camp Des Saints
>>
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Started collecting physical copies of all the good books on the wiki.
>>
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>>107598950
"Mandatory" in the meme sense, obviously. They are good books, but I'm not suggesting you'll know nothing without them.
>>
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>>107599229
>Le Camp Des Saints
>>
>>107598004
>openStep
Obsolete shit.

>K&R C
It's the worse book to learn C

>>107599507
All those are meme book.
>>
>>107599827
Present your list.



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