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I have found that the best way of learning the HtDP approach to program design, at least for me (I find the book itself a bit dry), are the EdX "How to Code" free moocs  . The instructor is fantastic. It completely changed the way I program and design.
If you like the approach and want to learn more, like, for instance, how to extend it to OO design, I list below links to several courses (most, except for the last one, offer enough material to complete them on your own, but I couldn't find any videos) at the university where HtDP's main author, Matthias Felleisen, is tenured (North Eastern). The courses are listed in the order in which they should be taken, and the rationale is explained by the professor in the paper "Developing Developers" :
* CS 2500 - Fundamentals I [https://course.ccs.neu.edu/cs2500/]
* CS 2510 - Fundamentals II - Introduction to Class-based Program Design [https://course.ccs.neu.edu/cs2510/index.html]
* CS 2800 - Logic and Computation [https://course.ccs.neu.edu/cs2800/index.html]
* CS 3500 - Object Oriented Design - Spring 2018 (scaling up the 3 previous courses) [https://course.ccs.neu.edu/cs3500/]
* CS 4500 - Software Development [http://www.ccs.neu.edu/home/matthias/4500-f18/index.html]
⬐ philonoistI happen to best learn through video lectures more than reading.
Thank you for your effort. I am starting with these.⬐ hackermailmanCould try both, the book (HtDP) is more rigorous than those two MOOCs as they're meant just as an intro where you progress into many more courses (as part of the micromasters on software development) while the book is a full grounding in CS 101. Somebody correct me if wrong but I don't remember any big-O analysis in the MOOCs or the parsing XML chapter, traversing graphs, the content on fixed-size arithmetic, plus the 500 or so exercises the book has compared to the three or four at end of each unit in the MOOCs. For example the sierpinski triangle assignment in the MOOC is pretty straightforward, but in the book you also generate a fractal savannah tree using trigonometry functions that isn't so straight forward, but when you see how they do the generative steps in the book you get that 'eureka' moment learning about Bézier curves. https://jeremykun.com/2013/05/11/bezier-curves-and-picasso/⬐ charlyslAgreed. But I would still recommend those interested to start with the online courses. The reason is that they hammer in the core principles that underlie all of systematic program design, with plenty of hand holding and exercises, and spending the right amount of time on each new concept, which is a lot harder with the book alone. The instructor is so good that in 10 mins one will understand what would otherwise take more than one hour with the book, at least in my case. After completing the moocs one will have a rock solid foundation from which to tackle more ambitious problems, including the ones you mentioned. Only then would I open the book.
I can fully recommend HtDP for beginning programming - tried various options for my 11 year old. I needed it to involve very little help from me - tried some scratch, mit50x, both which helped but did not spark and sustain interest.
Then we came across https://www.edx.org/course/how-code-simple-data-ubcx-htc1x - love it and does not need any help from me :) planning to move on to https://www.edx.org/course/how-code-complex-data-ubcx-htc2x after that!
edit: corrected typos
⬐ rz2kDo you mean the online HarvardX CS50 course? I started it when MOOCs were first appearing, and it includes Scratch. It looked very enthusiastic and buzz-worthy to me (which can be very good for a lot of people). However, past students doing a music and dance routine on stage about how exciting it had been, and the first lectures concluding with announcements of pizza parties with Facebook recruiters was too much for me, in that I felt too old.
Alternatively, the MITx 6.002 course on Computational Thinking is also for undergraduate students, but it had a greater focus on programming being integral to the sciences and other fields. I don't recall the the curriculum exactly, but even though the course is an introductory one I think some of the concepts might be a little daunting for a young teenager.
In addition to the UBC courses, another introductory treatment that won't overwhelm to a committed young learner is the DartmouthX C Programming with Linux. One of the instructors, Petra Bonfert-Taylor, taught a very accessible introductory complex analysis course on Coursera, and seems especially interested in first experiences students have with topics so that they are not discouraged. She has written a number of articles on teaching an introductions to new subjects.⬐ tshanmu⬐ jimhefferonmy bad - yes, I meant the Harvard CS50 course. Thanks for MITx 6.002 and DartmouthX C Programming with Linux - The DarmouthX one would be a good second course if the interest still continues.> we came across
There are YouTube videos (I don't know how well they fit with the current course) and they are excellent.⬐ PopeDotNinja+1 to learning programming thingies from YouTube videos.
SICP, although an excellent book, is not a good introduction to programming.
 thoroughly explains why
[2,3] based on How To Design Programs  is a much better intro; you should read SICP after completing this
I am not an expert, but maybe because of that I believe that I can offer valuable advice to those who are totally new to functional programming (or feel that they are missing something), and want to get the core basics down cold without getting drowned in accidental complexity, do yourself a favor and start with edx's free moocs "How To Code"  , which are based on "How To Design Programs" . After that, you will cruise through the recommended classics above.
If interested in why if you are an FP newbie said material is superior to SICP , read the pdf paper "The Structure and Interpretation of the Computer Science Curriculum" 
⬐ Serow225Thank you so much, that sounds like exactly what I need to make a (successful this time) deep dive into FP. Cheers!
Have you done both courses (https://www.edx.org/course/how-code-complex-data-ubcx-htc2x is the second)? Your comment suggests you're only gone through one.
Beyond the courses, it depends on your goals and interest. I would stick with functional programming (FP) to avoid confusion right now, rather than moving to an imperative language. I would first go through PLAI (see http://racket-lang.org/books.html for a link and other Racket books) because I think understanding some programming language theory is super-useful. If you understand PLAI you're well ahead of most programmers IMO, and there is no need to read SICP. Learning a typed language such as Haskell, Scala, or O'Caml might be a useful next step. My own book, Creative Scala, is very much in the HtDP tradition (http://www.creativescala.org/) though it might be a bit basic at this point. Beyond that, whatever takes your fancy.
A quick note on SICP: I don't believe in great books, more the right book at the right time. When I read SICP it was at exactly the right time for me, but I can see with retrospect the presentation is a bit old-fashioned in many ways. If you can work through PLAI you'll have learned most of the big lessons from SICP.
⬐ None⬐ l_l_bauersThank you for taking the time to write such a detailed response. I will absolutely be looking at your recommendation and hold off on SICP until it is the right time.
Thank you for adding that — I didn't know the edX courses were still online under a different name! The links from wikibob's comment for those interested:
I also love Gregor's teaching style and philosophy. It clicked with me and felt obvious and natural in a way the book never did.
Just wanted to note that HtDP is the best pedegogy for teaching the foundations of CS that I've ever found.
However, the book really needs professional editing.
Instead, take a look at the Intro CS classes from University of British Columbia .
They are taught by the excellent Gregor Kiczales, and directly follow the course structure from HtDP, in an extremely learner-friendly way. Absolutely the best online course I've ever done, Gregor really put an enormous amount of effort into doing this right.
⬐ baldfatI wouldn't say it needs an editor. It is dense! Very dense. I started the book 20 times. I would go from page one till I got stuck and then go back and see what I missed. Took forever to get through it but it was the best thing I have gone through learning anything in computer science.⬐ skrishnamurthi⬐ noelwelshAre you looking at the first edition or the second? The first is very dense early on. The second was rewritten to avoid that. Take a look at the second edition instead: I'm confident you'll find it qualitatively very different. https://htdp.org/2018-01-06/Book/
[Disclaimer: co-author, so I'm biased.]Can you expand on what you found lacking in the book that the online courses provided?⬐ stronglikedanIf I understood the parent comment correctly, it's not that the book was lacking anything, it's just that the online courses were more accessible.
You can take a look at the book How To Design Programs (HTDP) . It's similar. The 2nd edition printed book is going to be released soon . There is a paper from the authors of HTDP comparing it to SICP . By the way, there is an couple of online courses at EDX that covers content of HTDP .