A simple tutorial on making nft/memecoins on algorand

Let’s make a simple NFT/memecoin on the Algorand TestNet! We’ll use the Purestake API, NFT Storage, and the Algorand Python SDK to programmatically create some coins/nfts/assets. 1 Tip: If you want to speedrun through this tutorial, just read each heading and the tl;drs at the end of the section. Pre-requisites You should hopefully know how to open the terminal and use a code editor. On MacOS or Ubuntu (any Linux-based OS), just open up your terminal. If you are on […]

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A tutorial designed to introduce you to SQlite 3 database using python

A tutorial designed to introduce you to SQlite 3 database using python SQLite is an in-process library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. It is a database, which is zero-configured, which means like other databases you do not need to configure it in your system. SQLite engine is not a standalone process like other databases, you can link it statically or dynamically as per your requirement with your application. SQLite accesses its storage files directly. Easier […]

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In this tutorial we will be learning how to create custom desktop notification using Python

In this video i am going to use a module called plyer Link for the module : https://pypi.org/project/plyer/ About Plyer – Plyer is an open source library to access features commonly found in various platforms via python . It provides support for Windows, MacOS, Linux, Android and iOS. Installation Usage from plyer import notification Subscribe Please subscribe CodeWithNiranjan GitHub The Github Link Is For Subscribers Only Subscribe now Already have an account? Sign in    

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Tutorial for STARKs with supporting code in python

STARK tutorial with supporting code in python Outline: introduction overview of STARKs basic tools — algebra and polynomials FRI low degree test STARK information theoretical protocol speeding things up with NTT and preprocessing Visit the Github Pages website here: https://aszepieniec.github.io/stark-anatomy/ Running locally (the website, not the tutorial) Install ruby Install bundler Change directory to docs/ and install Jekyll: $> sudo bundle install Run Jekyll: $> bundle exec jekyll serve Surf to http://127.0.0.1:4000/ LaTeX and Github Pages Github-Pages uses Kramdown as […]

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JimShapedCoding Python Crash Course 2021

This Repository includes the code and MORE exercises on each section of the entire course After this 5-hour course, you’ll have a lot of new information on Programming with Python. While you watch the video, feel free to ask questions in the comments section, share your code on different exercises, and give a feedback about the tutorial at all. What this course includes ? At least 1 Exercise on each section 10 on-demand exercises with solutions 40 lectures Best Practices […]

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Integrating Oxylabs’ Residential Proxies with AIOHTTP

Requirements for the Integration For the integration to work you’ll need to install aiohttp library, use Python 3.6 version or higher and Residential Proxies. If you don’t have aiohttp library, you can install it by using pip command: You can get Residential Proxies here: https://oxylabs.io/products/residential-proxy-pool Proxy Authentication There are 2 ways to authenticate proxies with aiohttp.The first way is to authorize and pass credentials along with the proxy URL using aiohttp.BasicAuth:

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Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you if: you’re new to few-shot learning and want to learn; or you’re looking for reliable, clear and easily usable code that you can use for your projects. Don’t get lost in large repositories with hundreds of methods and no explanation on how to use them. Here, we want each line of code to be covered by a tutorial. What’s in there?

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Yet Another Reinforcement Learning Tutorial

This repo contains self-contained RL implementations including For those who want to run without git clone, please find the colab notebooks in this Google Drive. Lecture notes can also be found in this repo. It contains: RL applications Model-based methods (MDP, Value Iteration, Policy Iteraction, etc) Model-free methods (MC, TD, SARSA, Q-learning, etc) Policy-based methods (TRPO, PPO, SAC, etc) Population-based methods (CEM, CMA-ES, ARS) Summary contact: sungjoon-choi at korea dot ac dot kr GitHub https://github.com/sjchoi86/rl_tutorial    

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A free, online learning platform to make quality education accessible for all

Oppia Oppia is an online learning tool that enables anyone to easily create and share interactive activities (called ‘explorations’). These activities simulate a one-on-one conversation with a tutor, making it possible for students to learn by doing while getting feedback. In addition to developing the Oppia platform, the team is also developing and piloting a set of free and effective lessons on basic mathematics. These lessons are targeted at learners who lack access to educational resources. Oppia is written using […]

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