The most popular programming language has long established itself in the world of blockchain and cryptocurrencies. Let's briefly describe the main libraries and projects in Python.

Programming in industry

It's hard to imagine how much our lives depend on software code. The crypto world exists largely only thanks to him. There are many programming languages ​​in the world, many of which are widely used by crypto projects, and some were even specifically created for this environment.

Yes, the Bitcoin code was written in C++, but since its inception there have been many other projects implemented in a variety of programming languages. And Python is far from the last. On the contrary, he is at the forefront of blockchain developments.

Python is the most popular programming language in the world. Language popularity rankings place Python in first place by a wide margin (for example:
Tiobe or
PYPL). But, as you know, the cryptocurrency industry has its own specifics. Is Python good enough to completely conquer this area of ​​human activity?

What is Python

Let's start with a short excursion into the nature of the language itself and what made it the most popular in the world.

Python is a high-level general-purpose programming language. In simple words: it is a programmer-friendly language that has the widest scope of application. However, there are a great many such languages, in addition to Python. What sets Python apart from the rest is its ability to incorporate an excellent set of useful qualities that have helped win the love of programmers.

  • Clear syntax, which allows you to conveniently write and read programs in Python. For those who know at least a little English, it will be quite easy to understand the basic syntax.

  • Python multi-paradigm programming language, that is, it supports different paradigms.

  • Python interpretable language. This means that lines of code are executed immediately, without compiling the entire program. This allows you to quickly find and fix errors.

  • Wide support. The more popular a language is, the larger the community that will support it. There are a lot of materials and resources available to make learning and working in Python easier.

  • In Python there is a huge number of libraries. This is, simply put, code already written by someone that can be used by other programmers. That is, it is enough to import a ready-made library and immediately use its functionality, without inventing a wheel from scratch. There are libraries for everything from working with images to neural networks, complex mathematical research or machine learning

The bottom line is that we are presented with a convenient, easy-to-learn, but at the same time powerful and universal programming language that has gained immense popularity in the world. What about the crypto world?

Is it possible to create a blockchain in Python?

Of course, and relatively simple at that. We, of course, will not provide code here or write a detailed guide; similar things can be found in abundance on the Internet (for example, Here). Let us only note that most of the work has already been done by the creators of the libraries, so when writing a blockchain, you can easily rely on ready-made solutions and not write from scratch.

For example, the hashlib library will help you create a hash, and the popular datetime will allow you to add timestamps for blocks. For requests, you can use the Requests library, and, in principle, there will most likely be a ready-made library for any typical task in Python.

Of course, there are many libraries for both cryptocurrencies and blockchain. In PyPI, a Python package directory for the keyword blockchain
located 1408 projects. Let's look at some of them.

Basic crypto libraries in Python

Let's divide the libraries by area of ​​application.

Bitcoin

Bitcoin – a library for working with Bitcoin. Allows you to generate a private (private) key, public (public) key and Bitcoin address.

Wallets. Python has many libraries that allow you to create Bitcoin addresses and receive cryptocurrency. For example,
bitcoinlibHD
Merchant Wallet.

Ethereum

web3.py – Python library for interacting with Ethereum. Typically used in decentralized applications (dApps) to help with sending transactions, interacting with smart contracts, reading block data, and so on.

eth-utils is another Ethereum library that includes some popular functions and classes that blockchain developers use to interact with the network.

py-evm – an implementation of the Ethereum virtual machine written in Python.

eth-tester is a library that creates a development environment that bypasses the blockchain synchronization process. Instead, the tester connects to a simulated Ethereum node with loose permissions and a fictitious currency on which to test applications.

py-solc-x – a library for compiling smart contracts in Solidity.

Safety

Mythril – Security assessment tool for EVM bytecode. It detects security vulnerabilities in smart contracts created on Ethereum, Hedera, Quorum, Vechain, Roostock, Tron and other EVM-compatible blockchains.

Slither – Solidity static analysis platform written in Python. It allows you to detect vulnerabilities and improve smart contract code.

Woke – another framework for security and contract testing in Solidity.

Other cryptocurrencies and projects

Many projects in the cryptocurrency industry support Python development to one degree or another.

SolanaPy – a library for interacting with Solana.

CosmPy – Python library for interacting with blockchain networks based on Cosmos SDK. CosmPy can be used to transfer tokens, deploy and interact with smart contracts.

xrpl-py – Python library for interacting with XRP.

Trading and exchanges

CCXT (
CryptoCurrency eXchange Trading) is a library that is used to work with cryptocurrency exchanges. CCXT provides access to market data for storage, analysis, visualization, indicator creation, algorithmic trading, strategy testing, bot programming, and other trading and exchange-related software development.

Web3-Ethereum-Defi – A low-level Python library for extracting DeFi trading data from various blockchains.

There are libraries for large exchanges, for example:

  • Python Binance provides an interface for interacting with the Binance exchange to buy or sell cryptocurrencies. You can also create your own trading bot on it;

  • Bitfinex – a library for working with the exchange of the same name;

  • CoinBase – the official library of the exchange.

Cryptocurrency prices

BitcoinAverage,
Cryptocompare – API providers. Allows you to track prices and rates of cryptocurrencies. For commercial use you must obtain an API key.

Forex Python – a free library that allows you to get prices (including historical ones) of Bitcoin in different currencies.

This, of course, is not a complete list of specialized libraries that simplify working with blockchain and cryptocurrencies in Python. However, the above is quite enough to form an opinion about the popularity of this language among developers of solutions for the industry.

Already existing Python projects

Although Python is not an obvious candidate language for creating blockchains (as others are usually preferred), there are several cryptocurrencies written specifically in Python.

Chia. A cryptocurrency in which pharming (analogous to mining in Chia terminology) is based on the amount of allocated memory. The code is written in Python. Chia offers a unique consensus algorithm – proof-of-spacetime (PoSt). Also supports smart contracts.

Lamden is a high-performance Python-based blockchain platform for creating decentralized applications (dApps).

Bittensor is a decentralized project dedicated to AI and machine learning. As you know, Python is extremely popular in these areas of science, so it is not surprising that Bittensor uses Python in its decentralized ecosystem.

Although it is quite difficult to name large projects in the world of cryptocurrencies that were written entirely in Python, its importance should not be underestimated. Many smaller projects actively use this language. And, given the number of Python programmers, it is easy to assume that the number of such projects will only grow.

Conclusion

The most popular programming language of our time is in very good standing with representatives of the crypto world. There are all reasons for this: the functionality allows you to deploy complex projects on it, and the wide support of programmers around the world ensures good development. Specialized libraries appear that simplify the writing of programs. Given its current popularity, it is highly likely that Python's presence in the world of blockchain and cryptocurrencies will only increase over time.