Otobong Peter's Projects
I am using this repository to document my journey learning about DevOps. I began this process on January 1, 2022, and plan to continue until March 31. I will be dedicating one hour each day, including weekends, to gaining a foundational understanding of the various aspects of DevOps. This will be a 90-day intensive study period. 2022 & 2023 inc.
A community DAO for funding projects SDS & MDG related projects across the African Continent
The web framework for content-driven websites. ⭐️ Star to support our work!
Bitcoin Improvement Proposals
The core component that is used to participate in a Cardano decentralised blockchain.
Used during my Cardano development course with Emurgo
A simple cli clock
A Tool that allows you to compress files - written with Rust
📜 Haskell course info, plan, video lectures, slides
A Simple Full Featured To Do Application Build off Python and Runned on the CLI. Not written Python in a while so this project served to get my cogs oiled.
Hands-ons examples and excersises for Dapp360 CDP with CSA extras
A decentralized platform for staking and getting rewards in form of tokens
DevOps Guide - Development to Production all configurations with basic notes to debug efficiently.
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.
Only allow specific people to come into your room
Committed to Learning Go 5 topics each day from Go By Example
A simple guessing game written in Rust for implementation via the CLI
A simple hangman game written in haskell and implemented on the CLI.
API that powers a local languages project for sub-saharan Africa
Lucid is a library, which allows you to create Cardano transactions and off-chain code for your Plutus contracts in JavaScript, Deno and Node.js.
This project was done using Jupyter notebook, so to make it work properly you need to download the files and paste them in your virtual environment created via conda . This produces the modules that help you to run the entire code successfully
Global AI Hub Intro to ML Course Nigeria
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent