aliakbareth Goto Github PK

2015n3192

30-days-of-javascript

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace.

aliakbareth.github.io

app

Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.

application

authentifi

A blockchain-based Product Ownership Management System for anti-counterfeits in the Post Supply Chain.

awesome-hyperledger-fabric

A curated list of resources for creating applications with hyperledger fabric

babylon

Main repo for Babylon full node

backpack

🎒 Next level crypto wallet

blockchain-for-healthcare

A prototype dApp for managing electronic medical records on the Ethereum platform

coursera-t

This is a repository

css-exercises

css-practice

django

The Web framework for perfectionists with deadlines.

docker-practice

doctorverse

An application that will help people find doctors and hospitals nearby along with the ratings and facilities available

dr-sher-repository

This contains all the tasks given by sir Dr Sher

dsa

election

A Decentralized Ethereum Voting Application Tutorial

error-dict

fabric

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.

fastify

Fast and low overhead web framework, for Node.js

fintech-api

An API that helps you to deal with your financial calculations

flowpilot

flow-pilot is an openpilot based driver assistance system that runs on linux, windows and android powered machines.

flutter

game

git-calculator

git-practice

graphical-exploratory-data-analysis-using-python

Plotting a histogram of iris data For the exercises in this section, you will use a classic data set collected by botanist Edward Anderson and made famous by Ronald Fisher, one of the most prolific statisticians in history. Anderson carefully measured the anatomical properties of samples of three different species of iris, Iris setosa, Iris versicolor, and Iris virginica. The full data set is available as part of scikit-learn. Here, you will work with his measurements of petal length. Plot a histogram of the petal lengths of his 50 samples of Iris versicolor using matplotlib/seaborn's default settings. Recall that to specify the default seaborn style, you can use sns.set(), where sns is the alias that seaborn is imported as. The subset of the data set containing the Iris versicolor petal lengths in units of centimeters (cm) is stored in the NumPy array versicolor_petal_length. In the video, Justin plotted the histograms by using the pandas library and indexing the DataFrame to extract the desired column. Here, however, you only need to use the provided NumPy array. Also, Justin assigned his plotting statements (except for plt.show()) to the dummy variable _. This is to prevent unnecessary output from being displayed. It is not required for your solutions to these exercises, however it is good practice to use it. Alternatively, if you are working in an interactive environment such as a Jupyter notebook, you could use a ; after your plotting statements to achieve the same effect. Justin prefers using _. Therefore, you will see it used in the solution code.

how-to-become-a-real-blockchain-developer

Hi, this is first repository of it's kind as I am putting my all knowledge, research and the stuff that works for you to become a blockchain developer.