These 8 Programming Languages ​​Run Cryptoeconomics

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As of this writing, the global cryptocurrency market capitalization stands at nearly $1 trillion. The industry is booming with several profitable decentralized standalone applications (DApps) and many other projects including NFTs and games to earn. Crypto even inspires the idea of ​​Web 3.0, the decentralized web where your data stays with you alone.

Cryptocurrency is a financial world in its own right. Do you want to dive into crypto and are wondering what pieces of programming work together to power the crypto economy?

Blockchain developers are wiring the crypto world with one or a combination of these programming languages.

1. Solidity

Developed by an Ethereum project team, Solidity is the main powerline behind the popular Ethereum network and associated blockchains. It is still the most widely used programming language in the blockchain industry.

Its developers call it the “brace language” for its syntax style, which follows a brace pattern for enclosing blocks. Essentially, Solidity is a statically typed, object-oriented language with a high-level syntax.

Given its smooth learning curve, most programmers consider it their entry point into blockchain development. Additionally, Solidity’s use case is versatile. Its unwavering support for the Ethereum Virtual Machine (EVM) is one of its standout features.

This makes it a popular choice for developing and deploying smart contracts. You will find its use case in many Ethereum-based DApps and blockchains like Binance Smart Chain, Tron, Polkadot, and Avalanche.

2. Golang

Golang, also called Go, was developed by Google. Its simplicity and high-level syntax are some of the reasons why developers use Golang to build complex native applications. One of the most prominent blockchain platforms to ever use Golang is GoCoin, a Bitcoin-based payment gateway.

Golang’s support for parallelism, concurrency, and memory allocation makes it a great place to develop smart contracts, optimize node performance, and improve cold storage security, used for crypto wallets offline.

While many crypto-based projects use Golang only to orchestrate contracts in the background, others combine it with other large-scale languages ​​and technologies. Golang also powers Hyperledger Fabric, a leading blockchain framework for developing distributed ledgers. Metacoin and the IBM blockchain are among the crypto projects using this framework.

As for Ethereum support, Go-Ethereum, or Geth, is another popular Go-based Ethereum client for writing data to blockchain nodes and interacting with Ethereum smart contracts.

3. Rust

The Stack Overflow 2022 Developer Survey shows that Rust is the most popular programming language. Rust powers many Solana-based projects and is part of the programming stacks used by crypto ecosystems, including Polkadot, Near, and Elrond.

Its soft spot for upcoming developers and ease of implementation allow it to dabble in crypto development. Although Rust is high-level and simple, it is memory efficient, type-safe, fast, and interacts seamlessly with other programming languages ​​such as C and C++.

You can quickly develop chain programs with Rust while managing block space. This is one of the reasons why it is popular among blockchain developers.

Solidity, however, seems to be a little easier to learn than Rust. But many blockchains prefer Rust to avoid “copypasta,” where programmers copy and paste existing smart contract code, which could leave some associated Dapps with little or no creativity. Invariably, it’s easier to build to scale in Rust than in most languages ​​because it allows developers to modify their programs as they see fit.

4.C++

C++’s ability to run high-performance embedded systems and computing applications and its support for object-oriented programming, multithreading, and runtime polymorphism make it the language of choice for many leading blockchains.

Leading ecosystems including Bitcoin, Ripple, and Litecoin, among many others, benefit from the richness of C++. Some other programming languages ​​even derive their functionality from the language. For example, Solc, the Solidity compiler, was written in C++.

Although most blockchain developers prefer to develop Dapps with simple languages ​​like Rust and Solidity, C++ is a great choice for building something from scratch.

5. Ruby

Ruby stands out for its natural dynamic implementation of complex programming concepts. Its use in crypto development revolves around its security priority and its ability to blend with pre-existing blockchain protocols, including Ethereum smart contracts.

One of its main attributes is that it allows developers to modify its part seamlessly. For example, you can summarize its syntax into more readable formats. Ruby is not only object oriented, but every element of the language is an object.

Ruby does not limit developers to any particular paradigm. It is a language supported by multiple paradigms, allowing developers to focus on solution-oriented development rather than strict architecture.

Ruby on Rails, the most popular comprehensive Ruby web framework, powers Coinbase, one of the largest crypto exchange platforms.

6. Erlang

Erlang also contributes a programming quota for the crypto economy. Beam, Erlang’s virtual machine, allows blockchain developers to explore creativity in an alternative to the Ethereum virtual machine.

Erlang’s concurrency, simple syntax, lightweight process support, and stability help it power complex systems, including DApps. Its use case in end-to-end encryption in chat apps like WhatsApp and WeChat is extensible to securing blockchain nodes in DeFi and DApps.

The programming language and its derivative, Elixir, have found uses in popular blockchain solutions. For example, ArcBlock, a versatile decentralized development solution platform, uses Erlang as its primary development language. Aeternity also combines Elixir, an Erlang derivative, and Beam, Erlang’s execution machine, to develop its core blockchain protocol.

7. Python

Python’s ability to use a user-friendly syntax to orchestrate complex applications makes it suitable for writing blockchain programs. It is object oriented, versatile, modular and easy to learn. Thus, junior developers easily recover existing codebases.

Apart from helping DApps consume third-party APIs, it is also excellent for developing smart contracts. It has many built-in libraries, including cryptographic algorithms such as Hashlib, PyNaCl, and cryptography.

Hyperledger Fabric, Neo, and Steem are examples of blockchains that have added Python to their stack to build DApps and blockchain-as-a-service. To interact with the Ethereum blockchain, web3.py is the Python library that helps developers connect DApps with Ethereum-based contracts.

8. Vyper

Vyper is a contract-oriented Pythonic programming language for developing smart contracts on the Ethereum blockchain. Like Solidity, Vyper also compiles transparently in the Ethereum virtual machine.

Since Vyper’s syntax is close to Python style, it is relatively easy to understand for developers coming from Python. Although new, Vyper offers a few features that make it preferable to Solidity. While Solidity is also useful for writing secure contracts, it’s easier with Vyper, as it has built-in features that improve security.

For example, it allows flexibility when calculating custom gas consumption. Its overload capability and infinite loop support increase the overall safety of the gas function.

Programming Logic Wire the Blockchain

Like the conventional web, decentralized applications, autonomous organizations, and finance hold the crypto space together. As complex as these technologies are, they don’t just evolve on their own. Some people operate through the backdoor, tweaking the operating logic with these programming languages.

If you want to, it’s never too late to join the bandwagon of developers making crypto work for everyday users. Still in doubt? You might want to see some benefits of becoming a blockchain developer.

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