Algorand has announced the release of AlgoKit 2.0 which lets developers build decentralized apps (dApps) using Python on the Algorand blockchain. Python is a very popular programming language used by many programmers worldwide.
This move opens up blockchain development to more coders since It’s now easier and faster to create dApps on Algorand’s chain.
Python is simple and easy to read. That’s why developers like using it for data science, machine learning, and web building.
Bringing Python to blockchain makes sense because blockchain engineers can now work across different fields with one language they already know well.
AlgoKit 2.0 is a big move from the old route of developing dApps and smart contracts on Algorand. In the past, devs used Python to make TEAL code (pyTEAL), but now they can write smart contracts right in Python for the Algorand Virtual Machine (AVM). This makes building dApps easier.
High Speed, Low Cost, Increased Adoption
The Algorand Foundation says this update helps developers to get started quicker. Algorand blockchain is capable of smart contracts, and can also bridge to other chains right within its Layer 1 architecture. The AlgoKit 2.0 will improve the Algorand network with better templates and native Python coding.
Python’s entry into the Algorand network changes much more than just the tech; it reflects a wider trend where traditional and blockchain technology merge. As firms turn to blockchains, developing apps in Python will help in lowering costs, reducing maintenance, and making adoption easier.
The AlgoKit 2.0 now manages multiple related projects under one directory, streamlining development. With templates working on GitHub Codespaces, developers only need a GitHub account and internet to write smart contracts, making blockchain coding more accessible.
The Algorand community and the broader blockchain technology industry have welcomed this update with enthusiasm.
Developers are eager to explore the new possibilities that Python integration brings to the table. The initial feedback from the developer preview has been overwhelmingly positive, with many already documenting their progress and experiences with Python on Algorand.
