LeetCode-Solutions
kactl
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LeetCode-Solutions | kactl | |
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6 | 6 | |
4,496 | 2,496 | |
- | 3.1% | |
9.9 | 6.0 | |
4 days ago | 5 days ago | |
C++ | C++ | |
MIT License | - |
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LeetCode-Solutions
- A site that hosts implementations of various programming algorithms in different languages
- ๐พNeed some suggestion for DSA answer storing for revison
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Personal project and internship question
and also I searching problems based on algorithms and topics categorized like on this github: https://github.com/kamyu104/LeetCode-Solutions
- LC Account Share
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Are Leetcode solutions copyrighted?
I notice that there are lots of places on the internet where solutions to Leetcode problems are given. For example, this repository - https://github.com/kamyu104/LeetCode-Solutions
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Python code snippets & resources for Developers
9, Python LeetCode solutions
kactl
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Popcount walks: next, previous, toward and nearest
As a competitive programmer, Iโve seen similar โmagicโ tricks here: https://github.com/kth-competitive-programming/kactl/blob/ma... (page 23)
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Learning Python was a good decision. Python may have its own shortcomings, but big integers aren't scary anymore ๐๐
Printed references (e.g. KACTL) are allowed.
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Competitive Programming Is Useless
There's not _that_ many algorithms or data structures you see in competitive programming, and the vast majority of them aren't advanced. You do need to memorize a good portion of them, but doing so is the easy part towards becoming good at it.
You can read one moderate length book and know all of the DSes and algorithms you'll need for 99.9% of the time. cses.fi/book is a good one with a free version if you're curious.
https://github.com/kth-competitive-programming/kactl may also be of interest, it contains a good amount of the algorithms/DSes you'd ever need on a few printable pages (20ish).
- [graph theory] Simple algorithm to solve k-cliques problem on graphs
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I want to design and build a programming language specifically for competitive programming!
Finally, there are certain types of algorithms/operations that can be very sensitive to implementation. For example, a "good" Fast Fourier Transform implementation may be 3-4 orders of magnitude faster than a naive recursive one (with the same complexity!). Another fun case is something like (a*b)%c when the numbers are 64 bit. Using a fast implementation like this one (https://github.com/kth-competitive-programming/kactl/blob/master/content/number-theory/ModMulLL.h#L20) can speed up your code by 3-4x compared to using a naive implementation.
What are some alternatives?
Python Cheatsheet - All-inclusive Python cheatsheet
cpstl - Copy and Paste standard library (CPSTL) is a repository with a collection of data structure and algorithms in many different languages
python-cheatsheet - Comprehensive Python Cheatsheet
cc0-textures - Torrent downloads of free, CC0 licensed, PBR textures
codewars.com - Issue tracker for Codewars
BitsPlease-solutions - Solutions For Problems uploaded in
learn oops in python - ๐ Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Fork_CPP - This repository contain the C++ program from basic to advance. This repository will help you to prepare for the interview questions.
kotlin - The Kotlin Programming Language.
dice - Digital Image Correlation Engine (DICe): a stereo DIC application that runs on Mac, Windows, and Linux
interviews - Everything you need to know to get the job.
Leetcode_Solutions