How to Build for Decentralized Systems

What if you could build decentralized apps using Python and a pre-configured CI/CD pipeline? See how to deploy your first smart contract from a place of success.

#1about 2 minutes

Understanding the paradigm shift to decentralized systems

Blockchains operate as a shared computer where resources are limited and network latency requires asynchronous programming, unlike scalable cloud computing.

#2about 3 minutes

Using blockchain for data traceability and transparency

Blockchains provide an immutable ledger for industries like pharma and supply chain to ensure data integrity and transparency for regulatory compliance.

#3about 3 minutes

Enabling digital ownership with NFTs and fractionalization

NFTs can represent unique assets like event tickets to control secondary markets, while fractionalization makes high-value assets like real estate more accessible.

#4about 3 minutes

Improving operational efficiency for payments and trades

Blockchains can reduce costs for fintech micropayments, enable instant cross-border settlements, and eliminate counterparty risk through atomic swaps.

#5about 2 minutes

Simplifying development with Python and TypeScript

Algorand's developer tools meet developers where they are by enabling smart contract creation using familiar languages like Python and TypeScript.

#6about 5 minutes

Live demo of scaffolding a smart contract with Algokit

A step-by-step demonstration shows how to use the Algokit CLI to initialize, configure, build, and deploy a Python-based smart contract to a local network.

#7about 2 minutes

Visually debugging complex blockchain transactions

The Lora explorer tool helps developers understand complex, multi-party atomic transactions by visualizing the flow of calls and assets instead of parsing raw logs.