| > Ok, but the problem is, _which_ book? I have solved this particular problem but have myriads of others. (See my main comment on this thread.) First, when you are looking for a book in a particular topic, search Kagi/You.com, and sneak into 4/5 lists quickly. Some books will appear in almost all lists. Take a note. Second, append reddit to search term and look into 3/4 threads. Take a note of highly upvoted or "+1"d responses. Third, ask people you know who are experts in that topic. Ask 2/3/4 persons. They likely have read many books on that topic. Take a note of their top recommendations. Fourth, there are some titles ubiquitous on HN, twitter, Reddit, word-of-mouth in academia/industry. Such titles are The Algorithms Design Manual, Designing Data Intensive Applications, etc. When you look into a new topic, there will be 1/2 titles that you will instantly recognize. Take a note. Now you have narrowed down to 3/4 titles. Find them. Taste them, couple this with Third, and you find the most appropriate book for your situation. The whole process takes 20-25 minutes excluding the calls with people IRL. |
But my point is, note just how many separate bits of information you're looking at to make the decision. 4 threads on Reddit, 4 threads on HN, and you're already in the hundreds of different opinions! All of them coming from people you don't know, with different background, different learning style, etc.
Compare to going to a book store with ZERO external information, and picking the one YOU seem to like reading the most, without those hundreds of voices in your head.