boringbananascompany

coursera

Coursera class work

dao-factory

It is time for a formation of an autonomous infrastructure of smart contracts within Ethereum ecosystem, the one capable of replication. That will accelerate the population of the network, make user experience simpler, increase the levels of security while working with smart contracts and provide the authors of contracts a way to monetise their work. To make this happen Airalab team invites the community to take part in the DAO Factory project.

data-science-for-beginners

10 Weeks, 20 Lessons, Data Science for All!

datasciencecoursera

Data Science Coursera

datasharing

The Leek group guide to data sharing

docs

fides

Privacy as Code for your CI and runtime environment

google-sheets-node

Control Google Sheets with Node.js (using Google Sheets API)

juliaprogrammingfornervousbeginners

A course for people who are hesitant but curious about learning to write code in Julia.

midjourney-styles-and-keywords-reference

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

nft-mix

openai-quickstart-node

Node.js example app from the OpenAI API quickstart tutorial

openai-quickstart-python

Python example app from the OpenAI API quickstart tutorial

parti

profileme-dev

Create an awesome GitHub profile in minutes

purposeful-ios-animations

Examples of animations we found meaningful and useful on iOS. Each of the animations here was cloned with SwiftUI. Have you seen an app animation you love to rebuild and add to this repo?, contact [@amos_gyamfi](https://twitter.com/amos_gyamfi) and [@stefanjblos](https://twitter.com/stefanjblos) on Twitter.

sql-masterclass

uga-football-html-scrape-clean-and-vis

This project features an HTML scrape off of the UGA Football website (works as of 2022). The data consists of players, height, weight, hometown, and more. Throughout the data cleaning and transformation process, I appropriately deal with nulls, dups in a should-be-unique column, and string data that should be split into multiple columns. I create dictionaries, functions, and visualizations that help me understand the distribution and values of data. I finish it off with some visualizations that show BMI and weight class! I do not know anything about football or BMI, but I am able to show a story with my code and visuals.

vestedinsight