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My NeetCode 150 Practice Problems. Neetcode 150 @ https://neetcode.io/ is a list of 150 LeetCode problems designed to cover all possible patterns & topics in data structures. Mainly implementing in C, C++, Rust , Python & Java.

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NeetCode-150

My NeetCode 150 Practice Problems.

Neetcode 150 is a curated list of 150 LeetCode problems designed to cover all possible patterns & topics in data structures.
Mainly practicing in C , C++ , Rust , Python , JAVA & JavaScript.
The list was created by Neetcode-gh - https://github.com/neetcode-gh, originally based on another list called blind 75 with 75 problems.
List @ https://neetcode.io/

Docker Image setup

  • Setup the docker image leetcode.Dockerfile (2.63 GB) at ./NeetCode/Envs/ .
  • The image used here is Ubuntu:kinetic.
  • The Image includes;
  • Python 3.8.13, node v16.15.1, rust 1.62.1 and OpenJDK 18.0.2.
  • Prerequisites - Docker for desktop/mac/linux.

Instructions to setup the docker image.

1. Make sure to run all the commands from the project root directory.

cd /home/projects/NeetCode-150

2. Build the docker image 'leetcode' from the docker file leetcode.Dockerfile.

docker build -t leetcode -f Envs/leetcode.Dockerfile Envs

Building the image may take 5 to 15 mins. This is done only for the first time.

3. Run a container called leetcode from the built image.

For windows cmd

docker run --rm -d -t --name=leetcode -v %cd%:/home/mount leetcode 

For Mac terminal OR windows powershell

docker run --rm -d -t --name=leetcode -v ${PWD}:/home/mount leetcode

For linux terminal

docker run --rm -d -t --name=leetcode -v $(pwd):/home/mount leetcode

4. Open a interactive terminal from the running leetcode container.

docker exec -ti leetcode bash

5. Run any files from within the shell.

ls
cd Arrays
cd two_sum
node two_sum.js

6. To stop and remove the running container.

docker stop leetcode

7. To re-run the leetcode image.

follow the same steps from step 3 above.

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My NeetCode 150 Practice Problems. Neetcode 150 @ https://neetcode.io/ is a list of 150 LeetCode problems designed to cover all possible patterns & topics in data structures. Mainly implementing in C, C++, Rust , Python & Java.

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