Pinned Repositories
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
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
Docker-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.
AliakbarETH's Repositories
AliakbarETH/babylon
Main repo for Babylon full node
AliakbarETH/backpack
🎒 Next level crypto wallet
AliakbarETH/LandOrg
AliakbarETH/Problems
AliakbarETH/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.
AliakbarETH/Application
AliakbarETH/css-exercises
AliakbarETH/CSS-practice
AliakbarETH/django
The Web framework for perfectionists with deadlines.
AliakbarETH/DoctorVerse
An application that will help people find doctors and hospitals nearby along with the ratings and facilities available
AliakbarETH/Error-Dict
AliakbarETH/fastify
Fast and low overhead web framework, for Node.js
AliakbarETH/fintech-api
An API that helps you to deal with your financial calculations
AliakbarETH/flowpilot
flow-pilot is an openpilot based driver assistance system that runs on linux, windows and android powered machines.
AliakbarETH/game
AliakbarETH/git-calculator
AliakbarETH/js-practice
AliakbarETH/kolibri
Kolibri Learning Platform: the offline app for universal education
AliakbarETH/kubernetes
Production-Grade Container Scheduling and Management
AliakbarETH/Medpro
AliakbarETH/MustardFarmManagementSystem
AliakbarETH/nextJS-learning
AliakbarETH/Replyser
AliakbarETH/rust
Empowering everyone to build reliable and efficient software.
AliakbarETH/SaL--dApp
The Sal-dApp provides an efficient platform for organizational administrators to effectively oversee and manage their employees' salaries by adding them as users and securely storing their information on IPFS/Filecoin network. The platform enables the administrator to process payments conveniently and seamlessly on both Matic Ethereum blockchai
AliakbarETH/studio
Content curation tools for Kolibri
AliakbarETH/ToDoList
AliakbarETH/vectara-answer
LLM-powered Conversational AI experience using Vectara
AliakbarETH/WasteCredit
AliakbarETH/yours-wallet
A non-custodial and open-source wallet for BSV and 1Sat Ordinals.