Data Structures and Algorithms in Python

What Hacker News says

1. ambrose2Feb 2024
   I enjoyed “Data Structures and Algorithms in Python”!
   thread
2. thatinternetguyDec 2022
   I asked the exact same question and got these results. Some of the titles actually exist.

   There are several resources that deal with the mathematical properties of lists, including:

   "Lists and Sets: The Mathematics of Computer Science" by Keith H. Rosen, which provides a comprehensive overview of the mathematical concepts and principles that underlie the use of lists in computer science.

   "Discrete Mathematics with Applications" by Susanna S. Epp, which includes a chapter on lists and their mathematical properties, including operations such as concatenation and reversal.

   "Introduction to the Theory of Computation" by Michael Sipser, which discusses the use of lists in the context of automata and formal languages, including their role in the construction of Turing machines.

   "Data Structures and Algorithms in Python" by Michael T. Goodrich et al., which provides a detailed discussion of the mathematical properties of lists, including their time and space complexity.

   "A Course in Combinatorics" by J. H. van Lint and R. M. Wilson, which includes a chapter on set systems and their properties, including lists as a special case.

   Show morethread
3. 40acresJun 2019
   I'll recommend: Data Structures and Algorithms in Python by Goodrich et. all, they've also done this series in Java and C++ but I am only familiar with the Python version. It has a great balance in terms of covering everything you need to know in terms of fundamental ADTs, asymptotic complexity, etc. but without the rigorous math in CLRS. Because Python is so concise, every data structure and algorithm is fully implemented.

   My only con is that the answer key doesnt seem to be available.

   Show morethread
4. EnderMBNov 2018
   This actually happened to me before I started my current job. I was leaving a senior-level role as a .NET developer, and was moving over to be a standard-level developer in Ruby and Python. I left mid-way through November, thanks to a ton of holiday I had booked for Christmas, and decided to join in January instead of at a time when everything winds down in a lot of companies.

   My Python knowledge was non-existent, so I spent most of my time sleeping in, and working my way through a set of Python books. I worked through Learn Python The Hard Way, and Data Structures and Algorithms in Python, and although I've not done much Python this year it gave me the best of both worlds. I was able to relax through the two months off, but keep my mind in code and get over the initial impostor syndrome I'd get from joining an established team with zero experience of their tools in anger.

   Frankly, I still feel like my Ruby and Python skills are beginner-level, at best, but those two months helped me hit the ground running at my new job, and nearly a year later I've come to appreciate different languages as similar in many ways. I feel that I can start a new non-trivial project and (if given enough time) I can write working code in either to achieve a task - something I didn't feel before, which I put down to the two months holiday I took.

   Show morethread
5. potta_coffeeNov 2017
   Tech:

   1. The C Programming Language

   2. Data Structures and Algorithms in Python

   Non-Tech:

   3. Dune

   4. Lord of the Flies

   Show morethread
6. treatmesubjDec 2024
   My Grandmother asks what (physical) book I'd like for Christmas each year. Last year I asked for Pro Git. This year I might ask for Data Structures & Algorithms in Python.

   I listen to countless audio-books, but don't find myself sitting down to read a physical book except for this strange tech-knowledge niche, where I can learn without it feeling like laptop-work-overtime because it's a physical book. Do you like any particular books in physical form?

   Show morethread