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Mbongeni Ndlovu's Projects

amp icon amp

wethinkcode_ iOS bootcamp day03 project - the application downloads images from the internet

avaj-launcher icon avaj-launcher

Java project (Wethinkcode_) - his project is the introduction to the Java world at wethinkcode.

avaj-launcher-1 icon avaj-launcher-1

This project is the introduction to the Java world at 42. This is an implementation of an aircraft simulation program based on the class UML diagram.

ft_linux icon ft_linux

Kernel project (Wethinkcode ) - This is not about Kernel programming, but it’s highly related.

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Unix Project (Wethinkcode_) . This project will make you recode the command β€œls”

ft_ls-1 icon ft_ls-1

My own implementation of the famous Unix command: ls, using the C programming language

ft_select icon ft_select

A robust file browser and manager in the terminal.

get_next_line icon get_next_line

A C function that reads any valid file line by line until the end.

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Web group project (Wethinkcode_) - The purpose of this project is to create a web application that allows the user to search and watch videos

kanto icon kanto

wethinkcode_ iOS bootcamp day05 project - geolocation application

leaderboard icon leaderboard

This project is a very simple Android Project aimed at getting you to implement some simple concepts that are very important as far as Android Development is concerned.

libft icon libft

First wethinkcode_ project - recode some of libc functions

libft-1 icon libft-1

My implementation of some of the Standard C Library functions including some additional ones.

libftasm icon libftasm

Kernel project (Wethinkcode_) - The aim of this project is to get familiar with assembly language.

minishell icon minishell

Unix project (Wethinkcode_) - You must program a mini UNIX command interpreter.

select icon select

Unix project (Wethinkcode_) . This project is meant to make you code a small program using termcaps which will allow you to pick from a list of choices and return it to your shell.

stanford_alpaca icon stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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